Strategies and Insights on Fundraising

The angel funding landscape has fundamentally shifted in 2025, with pre-revenue SaaS founders facing both unprecedented opportunities and heightened expectations. While traditional wisdom suggested that traction was optional for angel rounds, today's market demands a more sophisticated approach backed by concrete data and strategic positioning. (Metal)

This comprehensive guide translates the latest market benchmarks into an actionable 12-week fundraising blueprint, helping pre-revenue founders navigate everything from optimal raise amounts to valuation positioning. By understanding what angels actually expect in 2025 and leveraging data-driven investor targeting, founders can significantly improve their odds of closing their first institutional round. (Metal)

The 2025 Angel Investment Reality Check

Market Benchmarks That Matter

The angel investment landscape has crystallized around specific benchmarks that pre-revenue founders must understand. The median SAFE size has settled at $700K, representing a sweet spot that provides meaningful runway without excessive dilution. (Metal) This figure reflects the market's recognition that pre-revenue companies need sufficient capital to reach meaningful traction milestones while maintaining founder control.

Post-money valuation caps have stabilized around $17M for pre-revenue SaaS companies, a figure that balances founder ambition with investor risk tolerance. (Metal) This benchmark varies significantly based on founder pedigree, market size, and early validation signals, but provides a crucial starting point for negotiations.

Perhaps most importantly, 90% of pre-seed rounds now utilize SAFE structures rather than traditional equity rounds. (Metal) This shift toward SAFEs reflects both the desire to minimize legal costs and the recognition that early-stage valuations are inherently speculative.

The New Traction Expectations

While "pre-revenue" might suggest no customer validation, today's angels expect sophisticated proof points that demonstrate market demand. The bar has risen from simple product demos to evidence of genuine customer pull. (Metal)

Successful pre-revenue raises now typically include:

• Signed letters of intent from potential customers

• Waitlist growth demonstrating organic demand

• Pilot program commitments from target users

• Clear evidence of problem-solution fit through customer interviews

The key insight is that "pre-revenue" doesn't mean "pre-validation." Angels are looking for founders who have systematically de-risked their assumptions about customer demand, even without generating revenue. (Metal)

Week-by-Week Fundraising Action Plan

Weeks 1-2: Foundation and Positioning

Week 1: Market Research and Competitive Analysis

Begin by conducting comprehensive market research that positions your solution within the broader competitive landscape. This isn't about proving you have no competition, but rather demonstrating deep market understanding and clear differentiation. (Metal)

Key deliverables:

• Detailed competitive analysis with positioning matrix

• Total addressable market (TAM) calculation with bottom-up validation

• Customer persona development based on actual interviews

• Problem statement validation through market research

Week 2: Traction Milestone Definition

Define the specific traction milestones that will demonstrate progress toward product-market fit. These milestones should be measurable, time-bound, and directly tied to customer validation. (Metal)

Establish metrics tracking for:

• Customer discovery interview completion rates

• Pilot program sign-up and engagement rates

• Waitlist growth and conversion metrics

• Product usage and retention indicators

Weeks 3-4: Investor Research and Targeting

Week 3: Angel Investor Identification

The most critical aspect of any fundraise is targeting the right investors. Focus on angels who have previously invested in pre-revenue SaaS companies and demonstrate sector familiarity. (Metal)

Utilize data-driven approaches to identify:

• Angels with 3+ investments in B2B SaaS

• Investors who have led or participated in pre-revenue rounds

• Geographic alignment with your company location

• Network connections that can provide warm introductions

The platform approach to investor discovery has become essential, with successful founders leveraging tools that integrate LinkedIn and Gmail contacts to identify previously unknown connection pathways. (Metal)

Week 4: Introduction Pathway Mapping

Map potential introduction pathways to your target angels. The most effective approach involves leveraging existing relationships rather than cold outreach. (Metal)

Prioritize introduction sources:

1. Existing investors or advisors

2. Portfolio company founders

3. Industry connections and mentors

4. Professional network contacts

5. Alumni and university connections

Weeks 5-6: Pitch Development and Materials

Week 5: Pitch Deck Creation

Develop a compelling pitch deck that addresses the specific concerns angels have about pre-revenue investments. The deck should emphasize market opportunity, team capability, and early validation signals. (Metal)

Essential deck components:

• Problem definition with market sizing

• Solution overview with competitive differentiation

• Team credentials and relevant experience

• Traction metrics and validation evidence

• Business model and revenue projections

• Funding requirements and use of funds

• Milestones and timeline for next 18 months

Week 6: Financial Modeling and Projections

Create detailed financial projections that demonstrate understanding of unit economics and path to profitability. While pre-revenue, these models should be grounded in realistic assumptions about customer acquisition and retention. (Metal)

Weeks 7-8: Outreach and Initial Meetings

Week 7: Warm Introduction Execution

Begin systematic outreach through warm introductions, focusing on your highest-priority angel targets. The goal is to secure initial meetings with 15-20 qualified angels over the next month. (Metal)

Outreach best practices:

• Personalize each introduction request

• Provide clear context about your company and ask

• Include relevant traction metrics and social proof

• Suggest specific meeting times and formats

Week 8: First-Round Meetings

Conduct initial meetings with angels, focusing on building relationships and gauging interest levels. These meetings should be conversational rather than formal presentations, allowing for deeper discussion of market opportunity and team capabilities. (Metal)

Weeks 9-10: Due Diligence and Follow-Up

Week 9: Due Diligence Preparation

Prepare comprehensive due diligence materials for interested angels. While pre-revenue companies have limited financial history, thorough documentation demonstrates professionalism and reduces investor concerns. (Metal)

Due diligence package should include:

• Detailed financial projections and assumptions

• Customer interview summaries and validation evidence

• Technical architecture and development roadmap

• Legal structure and intellectual property documentation

• Team backgrounds and reference contacts

Week 10: Investor Follow-Up and Relationship Building

Maintain momentum with interested angels through regular updates and additional meetings. This is often where deals are won or lost, as angels evaluate both the opportunity and their confidence in the founding team. (Metal)

Weeks 11-12: Term Negotiation and Closing

Week 11: Term Sheet Negotiation

Negotiate term sheets with committed angels, focusing on valuation cap, discount rate, and any special provisions. The average angel closing process takes 4.1 months, so maintaining urgency while allowing for proper due diligence is crucial. (Metal)

Key negotiation points:

• Valuation cap alignment with market benchmarks

• Discount rate for future equity conversion

• Pro rata rights and information rights

• Board representation and governance structure

Week 12: Legal Documentation and Closing

Complete legal documentation and close the round. SAFE structures have streamlined this process significantly, reducing legal costs and complexity compared to traditional equity rounds. (Metal)

SAFE Structure Optimization for 2025

Why SAFEs Dominate Pre-Revenue Rounds

The overwhelming adoption of SAFE structures in pre-revenue rounds reflects both practical and strategic considerations. SAFEs eliminate the need for immediate valuation determination, reducing negotiation complexity and legal costs. (Metal)

For pre-revenue companies, SAFEs offer several advantages:

• Faster closing timeline (typically 2-4 weeks vs 6-8 weeks for equity)

• Lower legal costs ($5K-15K vs $25K-50K for equity rounds)

• Reduced valuation pressure during early stages

• Simplified investor onboarding process

Structuring Your SAFE Terms

Optimal SAFE terms for pre-revenue SaaS companies typically include a valuation cap between $15M-20M and a discount rate of 15-25%. The specific terms should reflect your company's risk profile and market positioning. (Metal)

Valuation Cap Considerations:

• Market comparables in your sector and geography

• Team experience and track record

• Early traction and validation signals

• Competitive landscape and differentiation

Discount Rate Optimization:

• Standard range: 15-25% for pre-revenue companies

• Higher discounts may be justified for earlier-stage companies

• Consider investor contribution beyond capital (mentorship, connections)

Traction Milestones Angels Expect in 2025

Customer Validation Benchmarks

While revenue generation isn't required, angels expect sophisticated customer validation that demonstrates genuine market demand. The bar has risen significantly from simple surveys to evidence of customer commitment. (Metal)

Successful pre-revenue companies typically demonstrate:

• 50+ customer discovery interviews with target personas

• 10+ pilot program commitments or letters of intent

• Waitlist growth of 100+ qualified prospects

• Clear evidence of problem-solution fit through customer feedback

Product Development Milestones

Angels expect to see a functional prototype or minimum viable product (MVP) that demonstrates core value proposition. The product doesn't need to be feature-complete, but should validate key assumptions about user experience and technical feasibility. (Metal)

Key product milestones include:

• Working prototype with core functionality

• User testing results and iteration evidence

• Technical architecture scalability planning

• Clear product roadmap with prioritized features

Team and Execution Indicators

Beyond product and market validation, angels evaluate team capability and execution track record. Pre-revenue companies must demonstrate that the founding team can execute on their vision and navigate early-stage challenges. (Metal)

Team validation signals:

• Relevant industry experience and domain expertise

• Previous startup experience or successful project delivery

• Complementary skill sets across technical and business functions

• Advisory board with industry credibility and connections

Dilution Forecasting Worksheet

Understanding Dilution Impact

Pre-revenue founders must carefully model dilution across multiple funding rounds to maintain meaningful ownership stakes. The following framework helps forecast dilution impact and optimize fundraising strategy. (Metal)

Round StageTypical RaiseValuation RangeExpected DilutionAngel/Pre-Seed$500K-1M$5M-15M10-20%Seed$2M-5M$15M-40M15-25%Series A$5M-15M$40M-100M15-25%Series B$10M-30M$100M-300M10-20%

Dilution Calculation Framework

Step 1: Current Ownership Structure

• Founder equity percentage

• Employee option pool allocation

• Existing investor ownership

Step 2: Angel Round Impact

• Investment amount: $______

• Valuation cap: $______

• Dilution percentage: Investment ÷ Post-money valuation

• New founder ownership: Current % × (1 - Dilution %)

Model dilution across subsequent rounds using industry benchmarks and your specific growth trajectory. This analysis helps optimize current round size and valuation to preserve meaningful founder ownership. (

Leveraging Data-Driven Investor Targeting

The Importance of Investor-Company Fit

Successful fundraising requires targeting investors who are genuinely aligned with your company stage, sector, and geography. Random outreach to hundreds of investors yields poor conversion rates and wastes valuable time. (Metal)

The most effective approach involves identifying "stage specialists" rather than "stage tourists" - investors who consistently invest at the pre-revenue stage rather than occasionally participating in outlier opportunities. (Metal)

Sector Concentration vs. Sector Familiarity

Distinguish between investors who are familiar with your sector and those who are concentrating investments within it. Investors concentrating in your space typically have stronger conviction and may provide more valuable strategic guidance. (Metal)

For SaaS companies, prioritize angels who have:

• 25%+ of investments in B2B software

• Recent investment activity (within 6 months)

• Check sizes aligned with your funding needs

• Geographic relevance to your market

Network-Driven Introduction Strategies

The most successful founders leverage existing networks to secure warm introductions rather than relying on cold outreach. Modern platforms can analyze your LinkedIn and Gmail contacts to identify previously unknown connection pathways to target investors. (Metal)

Effective network strategies include:

• Mapping second-degree connections to target angels

• Leveraging portfolio company founders for introductions

• Utilizing accelerator and university alumni networks

• Engaging industry mentors and advisors for connections

Advanced Fundraising Tactics for 2025

Creating Investor FOMO Through Strategic Sequencing

Successful angel rounds often create momentum through strategic investor sequencing. Begin with angels who are most likely to commit quickly, then leverage their participation to attract additional investors. (Metal)

Sequencing strategy:

1. Target 3-5 "anchor" angels for initial commitments

2. Use anchor commitments to attract additional investors

3. Create urgency through rolling closes and deadlines

4. Maintain momentum with regular investor updates

Leveraging AI-Powered Investor Discovery

The fundraising landscape is increasingly leveraging AI-powered platforms that can analyze investor patterns and predict investment likelihood. These tools help founders identify previously unknown investors and optimize outreach strategies. (CapitalxAI)

AI-driven investor discovery offers:

• Automated investor matching based on company profile

• Predictive scoring for investment likelihood

• Personalized outreach message optimization

• Network analysis for warm introduction pathways

Building Long-Term Investor Relationships

Successful founders view fundraising as relationship building rather than transactional interactions. Angels who don't invest in your current round may become valuable connections for future rounds or strategic partnerships. (Metal)

Relationship building tactics:

• Regular updates to interested but non-investing angels

• Seeking advice and feedback on business development

• Making strategic introductions to portfolio companies

• Maintaining visibility through industry events and content

Common Pitfalls and How to Avoid Them

Valuation Overreach

Many pre-revenue founders set unrealistic valuation expectations based on outlier success stories rather than market benchmarks. Overpricing your round can significantly extend fundraising timelines and reduce investor interest. (Metal)

Avoid valuation pitfalls by:

• Researching comparable company valuations in your sector

• Understanding investor return expectations and fund economics

• Focusing on raising sufficient capital rather than maximizing valuation

• Being prepared to adjust terms based on market feedback

Insufficient Traction Documentation

Pre-revenue doesn't mean pre-traction, but many founders fail to adequately document their customer validation efforts. Angels need evidence that you've systematically de-risked key assumptions about market demand. (Metal)

Document traction through:

• Detailed customer interview summaries and insights

• Pilot program results and user feedback

• Market research findings and competitive analysis

• Product usage metrics and engagement data

Poor Investor Targeting

Spraying pitch decks to hundreds of random investors is ineffective and can damage your company's reputation. Focus on quality over quantity by targeting investors who are genuinely aligned with your opportunity. (Metal)

Improve targeting by:

• Researching investor portfolio and investment thesis

• Understanding check size and stage preferences

• Identifying sector expertise and geographic focus

• Prioritizing warm introductions over cold outreach

Execution Timeline and Success Metrics

12-Week Campaign Calendar

The following calendar provides a structured approach to executing your angel fundraise within a realistic timeframe. Adjust timing based on your specific circumstances and market conditions. (Metal)

Weeks 1-3: Preparation Phase

• Market research and competitive analysis

• Traction milestone definition and documentation

• Investor research and targeting

• Introduction pathway mapping

Weeks 4-6: Materials Development

• Pitch deck creation and refinement

• Financial modeling and projections

• Due diligence package preparation

• Legal structure optimization

Weeks 7-9: Active Outreach

• Warm introduction execution

• Initial investor meetings

• Follow-up and relationship building

• Feedback incorporation and iteration

Weeks 10-12: Closing Phase

• Term sheet negotiation

• Due diligence completion

• Legal documentation and closing

• Investor onboarding and communication

Success Metrics and Benchmarks

Track key metrics throughout your fundraising process to identify areas for improvement and maintain momentum. Successful angel rounds typically achieve specific conversion rates at each stage of the funnel. (Metal)

Key metrics to monitor:

• Introduction request acceptance rate: 60-80%

• Initial meeting conversion rate: 40-60%

• Second meeting progression rate: 30-50%

• Term sheet conversion rate: 15-25%

• Final closing rate: 80-90% of term sheets

Conclusion: Your Path to Angel Investment Success

Closing your first angel round as a pre-revenue SaaS founder requires a systematic, data-driven approach that aligns with current market realities. The 2025 landscape rewards founders who understand investor expectations, leverage sophisticated targeting strategies, and execute disciplined fundraising processes. (Metal)

Success in today's market comes from recognizing that "pre-revenue" doesn't mean "pre-validation." Angels expect sophisticated proof points that demonstrate market demand, team capability, and execution potential. By following the 12-week blueprint outlined above and leveraging the dilution forecasting worksheet, founders can navigate the fundraising process with confidence and clarity. (Metal)

The key insight is that fundraising success correlates directly with preparation quality and investor targeting precision. Founders who invest time in understanding their market, documenting their traction, and identifying the right investors will find significantly higher conversion rates throughout the fundraising funnel. (Metal)

As the venture landscape continues evolving, the founders who succeed will be those who combine compelling vision with rigorous execution and data-driven decision making. Your angel round is not just about raising capital - it's about building the foundation for long-term company success and establishing relationships that will support your growth journey. (Metal)

Frequently Asked Questions

What makes angel fundraising different for pre-revenue SaaS companies in 2025?

The angel funding landscape has fundamentally shifted in 2025, with pre-revenue SaaS founders facing heightened expectations compared to previous years. While traditional wisdom suggested that traction was optional for angel rounds, today's market demands a more sophisticated approach backed by concrete data and strategic positioning. Investors now expect detailed market analysis, clear go-to-market strategies, and robust financial projections even from pre-revenue companies.

How much should pre-revenue SaaS founders expect to raise in their first angel round?

Based on current market benchmarks, pre-revenue SaaS founders typically raise between $250K to $1M in their first angel round, with the median being around $500K. The exact amount depends on factors like market size, team experience, competitive landscape, and the sophistication of your go-to-market strategy. Companies with strong technical teams and clear product-market fit indicators can command higher valuations and larger rounds.

What is SAFE optimization and why is it crucial for angel rounds?

SAFE (Simple Agreement for Future Equity) optimization involves structuring your convertible securities to maximize founder equity retention while providing attractive terms for angel investors. This includes setting appropriate valuation caps, discount rates, and pro-rata rights. Proper SAFE optimization can save founders 5-15% equity dilution compared to poorly structured deals, making it essential for maintaining control through future funding rounds.

How can AI tools like Metal help with fundraising preparation and investor research?

AI-powered platforms like Metal are revolutionizing how startups approach fundraising by accelerating deal flow and reducing the effort required to collect and parse investor data. Metal's AI application assists fund deal teams and managers by unifying internal and external data to uncover insights and accelerate the diligence process. For founders, similar AI tools can help identify the right investors, personalize pitches, and streamline the entire fundraising workflow.

What should be included in a dilution forecasting worksheet for SaaS startups?

A comprehensive dilution forecasting worksheet should model equity ownership through multiple funding rounds, including seed, Series A, and Series B scenarios. It should account for employee stock option pools (typically 10-20% at each round), advisor equity (0.25-1%), and different valuation scenarios. The worksheet should also factor in liquidation preferences, anti-dilution provisions, and potential down-round scenarios to give founders a realistic view of their long-term equity position.

How long does the typical 12-week angel fundraising process take from start to close?

The 12-week timeline is designed to be comprehensive yet efficient, breaking down into distinct phases: weeks 1-3 for preparation and materials creation, weeks 4-8 for active investor outreach and meetings, weeks 9-11 for due diligence and term sheet negotiations, and week 12 for final documentation and closing. However, market conditions, investor responsiveness, and deal complexity can extend this timeline by 2-4 weeks. The key is maintaining momentum while allowing sufficient time for proper due diligence.

Sources

1. https://docs.metal.so/content/pipeline-development/process-and-velocity

2. https://www.capitalxai.com/

3. https://www.metal.so

4. https://www.metal.so/blog

5. https://www.metal.so/blog/overview-of-pre-seed-funding

6. https://www.metal.so/customer-stories/delmic

7. https://www.metal.so/intelligence

8. https://www.metal.so/search-page

The generative AI funding landscape has evolved dramatically in 2025, with Series A rounds becoming increasingly competitive and selective. While the market continues to show strong investor interest in AI companies, founders need a data-driven approach to identify which funds are actively writing checks and what traction milestones they demand. (Metal Intelligence)

This comprehensive guide analyzes the most significant Series A deals in generative AI from Q1-Q2 2025, identifies the key investors leading these rounds, and provides a systematic approach to targeting the right funds for your AI startup.

The 2025 Generative AI Series A Landscape

Major Deals Setting the Pace

The first half of 2025 has seen several landmark Series A rounds that demonstrate continued investor appetite for generative AI companies. Genesis AI's massive $105 million seed round, co-led by Eclipse and Khosla Ventures, signals strong institutional interest in AI applications for robotics. (TechCrunch) While technically a seed round, the size and investor profile mirror what we typically see in Series A deals.

The company, founded by Zhou Xian (PhD in robotics from Carnegie Mellon) and Théophile Gervet (former Mistral research scientist), aims to build a general-purpose model enabling robots to automate repetitive tasks from lab work to housekeeping. (TechCrunch) This deal exemplifies the type of ambitious, well-credentialed teams that top-tier VCs are backing in the generative AI space.

Meanwhile, established players like Stability AI continue to innovate with new model releases like Stable Diffusion 3.5 for professional-grade image generation, demonstrating the ongoing evolution and commercial viability of generative AI applications. (Stability AI)

Market Context and Investor Behavior

The U.S. venture capital industry experienced a record-breaking boom in 2021, followed by a reset during 2022-2023, and is now finding a new equilibrium. (Medium) This normalization has created a more selective environment where investors are focusing on companies with clear traction and differentiated technology.

For Series A rounds specifically, most are led by well-known institutional investors with significant investment experience. (Metal Series A Overview) The market for Series A financing has been particularly challenging since the 2022 downturn, making it crucial for founders to target the right investors with precision.

Key Investors Leading Generative AI Series A Rounds

Tier 1 Institutional Leaders

Based on recent deal activity and investment patterns, several funds have emerged as consistent leaders in generative AI Series A rounds:

Eclipse Ventures has demonstrated strong conviction in AI applications, co-leading Genesis AI's large seed round. Their focus on applied AI and robotics makes them a prime target for founders building practical AI solutions.

Khosla Ventures continues to concentrate investments in emerging technologies, with 27% of their portfolio in healthcare and significant activity in AI applications. (Metal Finding Investors) Their thesis-driven approach and willingness to lead large rounds makes them attractive for ambitious AI companies.

First Round Capital tends to invest early but specializes at the seed stage, making them "seed specialists" rather than "pre-seed tourists." (Metal Finding Investors) For companies transitioning from seed to Series A, understanding this distinction is crucial.

Identifying Active Funds

Only about 10% of all venture funds are actively deploying capital at any given time. (Metal Finding Investors) Founders need to filter for investment firms that have made at least one investment in the past 3-6 months to ensure they're targeting active deployers.

The key is focusing on investors that are "geographically relevant" based on their prior investments, rather than taking an overly restrictive approach. (Metal Finding Investors) Many European and Asian investors actively invest in US AI companies, expanding the potential pool significantly.

Building Your Target List with Metal's Dynamic Filtering

Setting Up Your Generative AI Series A Filter

Metal's platform enables founders to create highly targeted investor lists using granular filters. (Metal Investor Search) For generative AI Series A targeting, the optimal filter combination includes:

Stage Filtering: Focus on "stage specialists" rather than "stage tourists" by filtering for investors who have made at least 25% of their investments at Series A. (Metal Stage Filters) This ensures you're targeting funds that truly understand Series A dynamics and expectations.

Sector Concentration: Look for investors with both "sector familiarity" and "sector concentration" in AI/ML. (Metal Finding Investors) Familiarity means they've made multiple AI investments; concentration means a significant percentage of their portfolio is in AI, indicating a strong thesis.

Recent Activity: Filter for funds that have made investments in the last 6 months to ensure active deployment. (Metal Other Filters) This eliminates "barely active" funds that make only 1-2 investments annually.

Fund Size Alignment: Target funds with $100-500M in assets under management, as they typically write $2-10M checks suitable for Series A rounds. (Metal Finding Investors) The general rule is that investors maintain check sizes of roughly 1-2% of total fund size.

Creating Your Dynamic List

Here's how to set up a dynamic list in Metal for generative AI Series A targeting:

Sector: Artificial Intelligence/Machine Learning
Stage: Series A (minimum 25% of investments)
Last Investment: ≤ 6 months
Fund Size: $100M - $500M
Geography: North America + International (US-focused)
Lead Percentage: ≥ 20% (to identify potential leads)



This filter combination typically yields 50-100 highly qualified prospects, allowing for focused outreach rather than spray-and-pray approaches. (Metal Quickstart)

Traction Milestones That Matter

Revenue and Growth Benchmarks

At Series A, investors evaluate opportunities based on growth and traction metrics. (Metal Series A Overview) For generative AI companies, the specific benchmarks vary by business model:

SaaS AI Tools: Companies have successfully raised Series A rounds with $0.5-1M in annualized run rate, provided they show 100-150% year-over-year growth. (Metal Series A Overview) On the upper end, companies with $3-3.5M ARR and 500%+ growth have commanded premium valuations.

API/Infrastructure Plays: Focus on usage metrics, API calls per month, and developer adoption rates. Monthly active developers and revenue per API call are key indicators investors examine.

Enterprise AI Solutions: Contracted revenue, pilot-to-paid conversion rates, and expansion revenue from existing customers demonstrate product-market fit in enterprise segments.

Technical and Product Milestones

Beyond financial metrics, generative AI companies need to demonstrate:

Model Performance: Benchmark results against established models, accuracy improvements, and inference speed optimizations.

Scalability Proof Points: Evidence that the technology can handle increased load and maintain performance at scale.

Differentiation: Clear technical moats, proprietary datasets, or novel architectures that create sustainable competitive advantages.

The Outreach Playbook

Pre-Outreach Research and Qualification

Before pursuing any investor, founders need to run a rigorous qualifying process to ensure strong fit. (Metal Finding Investors) For each target investor, examine:

• Track record of leading rounds: Do they have experience leading Series A deals?

• Sector investment history: Have they invested in generative AI or adjacent spaces?

• Recent activity: Are they actively deploying capital in current quarters?

• Competitive conflicts: Do they have portfolio companies that might conflict?

• Stage appropriateness: Are they truly Series A specialists?

The prior investment patterns of a fund are the biggest indicator of their inclination for a given stage, sector, or geography. (Metal Intelligence)

Crafting Your Initial Outreach

Cold email outreach has evolved significantly, with relevance and trustworthiness becoming the primary factors determining success in 2025. (Hunter) In 2022, 54.4% of survey respondents stated that cold email was getting harder, making precision targeting even more critical.

Purpose Built's analysis of 41,209 cold emails across 193 experiments achieved a 3.8% positive engagement rate, demonstrating that systematic approaches can work. (Purpose Built)

The Three-Touch Sequence

Lead with a specific insight about their portfolio or recent investments. Reference a recent AI deal they've done and explain how your company addresses a related but distinct opportunity.

Share a meaningful milestone or customer win that demonstrates momentum. Include specific metrics that align with Series A expectations.

Leverage Metal's network mapping to identify mutual connections who can provide warm introductions. (

Leveraging AI for Personalization

AI can supercharge outreach by personalizing pitches and optimizing interactions. (StepUp) AI tools can act as analyst, strategist, and workhorse, helping to sift through investor databases and craft targeted outreach strategies.

However, the key is maintaining authenticity while using AI for efficiency. The best outreach combines AI-powered research with genuine, personalized insights about the investor's interests and portfolio.

Pitch Deck Essentials for Series A

The Teaching Deck Framework

The best decks don't just tell your story - they teach something new and make your strategy feel both unique and inevitable. (Metal Intelligence) For generative AI companies, this means educating investors about:

• Market Timing: Why now is the right time for your specific AI application

• Technical Moats: What makes your approach defensible and scalable

• Go-to-Market Strategy: How you'll capture and expand market share

Key Slides for AI Companies

1. Problem Definition: Frame the specific inefficiency or opportunity your AI addresses

2. Solution Architecture: High-level technical approach without getting too deep into the weeds

3. Market Size and Timing: TAM/SAM/SOM with focus on market readiness for AI adoption

4. Traction and Metrics: Revenue, usage, and growth metrics that matter for your business model

5. Competitive Landscape: How you differentiate from both AI-native and traditional solutions

6. Team and Advisors: Highlight AI/ML expertise and relevant domain experience

7. Financial Projections: 3-year revenue forecast with key assumptions

8. Funding Ask and Use of Funds: Specific allocation for talent, infrastructure, and growth

Managing the Series A Process

The Fundraising Funnel

Typical fundraising targets around 200 investors, with expected outcomes of one-third not responding, one-third passing without a call, and one-third agreeing to first meetings. (Metal Intelligence) This means having 10-15 genuinely excited investors requires around 70 first calls.

For Series A specifically, the biggest challenge is finding a lead investor who can then coalesce other investors into the round. (Metal Series A Overview) Less than 10% of all venture investors tend to lead rounds, making lead identification crucial.

Timeline and Process Management

Series A processes typically take 3-6 months from initial outreach to closing. Key milestones include:

Using Metal's built-in CRM helps manage and track fundraising outreach from start to finish. (Metal Intelligence) The platform enables founders to avoid common pitfalls in conventional fundraising by bringing efficiency, structure, and intelligence to the process.

Common Pitfalls and How to Avoid Them

Stage Mismatch Issues

A stage mismatch is among the most common reasons investment discussions don't result in positive decisions. (Metal Series A Overview) Many founders pursue seed-stage investors for Series A rounds or engage with pre-seed investors when they need larger checks.

Fund Size Misalignment

Founders raising large rounds need to target VCs with appropriate fund sizes. (Metal Finding Investors) A fund size mismatch is often a primary reason investors can't lead or participate in rounds, regardless of their interest level.

Pursuing Non-Lead Investors First

A common pitfall is engaging non-lead investors in a Series A process before securing a lead. (Metal Series A Overview) The data shows far more investors participate in Series A rounds than lead them, making lead identification the critical first step.

Sector-Specific Considerations for Generative AI

Technical Due Diligence Expectations

Generative AI companies face unique technical due diligence requirements:

Model Architecture Review: Investors often bring in technical advisors to evaluate model design, training approaches, and scalability considerations.

Data Strategy Assessment: Questions about training data sources, data quality, and ongoing data acquisition strategies.

Compute Cost Analysis: Understanding of inference costs, model optimization, and path to profitability given compute requirements.

Regulatory and Ethical Considerations

Investors increasingly evaluate AI companies on:

Safety and Alignment: Approaches to ensuring model safety and alignment with intended use cases.

Bias and Fairness: Strategies for identifying and mitigating bias in model outputs.

Privacy and Security: Data handling practices and security measures for sensitive information.

Building Long-Term Investor Relationships

Beyond the Check

Series A investors typically join boards and become long-term partners. Evaluate potential investors on:

Network Access: Can they help with customer introductions, partnership opportunities, and talent recruitment?

Technical Expertise: Do they have portfolio companies or advisors who can provide technical guidance?

Follow-On Capacity: Will they be able to participate in future rounds as the company scales?

Setting Up for Series B Success

Series A rounds should position companies for successful Series B raises 18-24 months later. This means:

Milestone Planning: Clear objectives that will qualify the company for the next stage. (Metal Series A Overview)

Investor Syndicate Building: Bringing in investors who can lead or significantly participate in Series B rounds.

Market Positioning: Establishing clear market leadership in a defined category or use case.

Conclusion

The generative AI Series A landscape in 2025 rewards founders who take a systematic, data-driven approach to investor targeting. By focusing on stage specialists with sector concentration and recent activity, founders can significantly improve their conversion rates at every step of the fundraising funnel. (Metal Finding Investors)

The key is combining Metal's intelligent filtering capabilities with thorough research and personalized outreach. (Metal Intelligence) Remember that the prior investment patterns of a fund are the biggest indicator of their inclination for your stage, sector, and geography.

For generative AI founders, success requires demonstrating not just technical innovation but clear paths to scalable revenue and defensible market positions. The investors writing Series A checks in 2025 are looking for companies that can navigate both the opportunities and challenges of the AI revolution while building sustainable, profitable businesses.

By following this systematic approach to investor identification, qualification, and outreach, generative AI founders can position themselves for successful Series A raises even in today's competitive funding environment. The data shows that targeted, intelligent fundraising approaches consistently outperform spray-and-pray tactics, making tools like Metal's dynamic investor lists essential for modern fundraising success.

Frequently Asked Questions

What are the key traction milestones investors expect for Series A generative AI deals in 2025?

Based on Metal's empirical analysis of Series A deals, investors typically look for strong product-market fit indicators, recurring revenue growth, and proven AI model performance metrics. The competitive landscape in 2025 has raised the bar significantly, with funds demanding clearer monetization paths and defensible AI capabilities before writing checks.

Which investors are most active in Series A generative AI funding rounds in 2025?

Eclipse and Khosla Ventures have been particularly active, co-leading Genesis AI's $105M seed round for robotics AI models. Other key players include funds focusing on foundational AI models and specialized applications. The research shows that investors are increasingly selective, favoring companies with clear use cases and proven technical differentiation.

How can founders use Metal's platform to identify the right investors for their generative AI startup?

Metal Intelligence provides data-driven insights into investor behavior and deal patterns, helping founders identify funds that have previously invested in similar companies. The platform's empirical overview of Series A deals reveals which investors are actively writing checks and what criteria they use for evaluation, enabling more targeted outreach strategies.

What makes cold email outreach effective for AI startup fundraising in 2025?

According to recent research, relevance and trustworthiness are the primary factors determining email outreach success in 2025. With 54.4% of respondents stating that cold email is getting harder, founders need AI-powered personalization and data-driven targeting. The most successful campaigns achieve 3.8% positive engagement rates through systematic experimentation and optimization.

How has the generative AI funding landscape changed in 2025 compared to previous years?

The 2025 landscape shows increased selectivity following the 2021 boom and 2022-2023 reset period. While investor interest remains strong, as evidenced by large rounds like Genesis AI's $105M seed, funds are demanding higher traction thresholds and clearer paths to profitability. The market has found a "new equilibrium" with more rigorous due diligence processes.

What role does AI play in optimizing the fundraising process itself?

AI acts as an analyst, strategist, and workhorse in modern fundraising, handling tasks like sifting through investor databases, crafting personalized outreach, and automating repetitive processes. AI-powered tools can supercharge outreach effectiveness, predict investor behavior, and optimize pitch timing, making the fundraising process more efficient and data-driven for generative AI startups.

Sources

1. https://alecfurrier.medium.com/the-current-state-of-the-u-s-venture-capital-industry-2025-03f9e1276689

2. https://clients.stepup.one/blog/ai-fundraising

3. https://docs.metal.so/content/high-resolution-identification/other-filters

4. https://docs.metal.so/content/high-resolution-identification/stage-and-sector-filters

5. https://docs.metal.so/quickstart

6. https://hunter.io/the-state-of-cold-email

7. https://stability.ai/

8. https://techcrunch.com/2025/07/01/genesis-ai-launches-with-105m-seed-funding-from-eclipse-khosla-to-build-ai-models-for-robots/?utm_campaign=intelligence_report&utm_medium=email&utm_source=newslit

9. https://www.metal.so/blog/an-empirical-overview-of-series-a

10. https://www.metal.so/blog/finding-investors

11. https://www.metal.so/discovery/investor-search

12. https://www.metal.so/intelligence

13. https://www.purposebuilt.vc/blog-posts/the-lead-faucet-what-we-learned-from-41-209-cold-emails-in-193-experiments

Our team has had the benefit of observing a large number of early-stage founders, as they embarked on their journeys to build access with investors. In the below post, we have documented our observations around the most common access points.

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Building Founder Networks

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In the earliest stages of company-building, founders generally find it a lot easier to establish relationships with other VC-backed founders, and then use these relationships to get introductions to investors. We have observed founder networks to play a central role in successful raise processes, irrespective of the stage.

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When building a strong network of other VC-backed founders, users have reported the most success with the following strategies:‍

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1. Mining LinkedIn & Gmail Connections: As a starting point, founders need to first mine LinkedIn & Gmail connections to identify VC-backed founders that they already know. By integrating Gmail and LinkedIn contacts within Metal, a vast majority of Metal's customers report identifying useful connections that were previously not on their radar. Additionally, customers also report being able to research the networks of their connections in ways that enable them to identify which introductions to request from a given person.
2. ‍Introductions via Existing Investors: Founders that have raised from accelerators and/or other investors with large portfolios are able to get introductions to specific founders via their investor network. In general, investors tend to be particularly open to brokering introductions across the portfolio.
3. ‍Introductions via Product Usage: In recent months, an interesting new avenue has emerged whereby users first identify specific founders that have previously raised from a given investor. Subsequently, they shortlist ones that are in the early stages of building SaaS products, and then contribute to their journeys through product usage and feedback. When done thoughtfully and authentically, this has proven to be a particularly useful channel.
4. Cold Emails: In most scenarios, cold emails tend to have an extremely low response rate, and are typically not a particularly productive use of time. In a few scenarios, however, we have observed cold emails to work surprisingly well -- this typically happens in instances whereby the recipient and the sender have a meaningful common ground. This could range from raising capital in a specific country (I.e. founders in Indonesia) to raising late-stage rounds in a unique sector (I.e. founders that have raised $10m+ for hardware companies).‍

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When building access via founder networks, users are able to get a useful perspective on the investing personalities of various investors directly from founders that have raised from them. Based on feedback from our customer base, we have observed this insight to be even more useful than the introduction itself.

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Leveraging Existing Investors

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Your existing investors are heavily incentivised to help you raise your next round. The ability of founders to mobilise the support of existing investors is a learned skill. The below guidelines can serve as a useful starting point:

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1. Build Trust: Your relationship with your existing investors starts from the very first meeting (before they even decided to invest). As is the case with most relationships, your ability to build value will depend on the relationship history. Frequent and detailed investor updates along with quarterly calls are a good starting point.‍
2. Use Network Insights to Prioritise Asks: During a raise process, before making specific asks, you want to conduct extensive research to identify the 3-5 most valuable introductions from a given investor. The total number of introductions that you can request depends on the nature of the investor and your relationship with them. It is, however, a finite number, and you want to ensure that you are ruthlessly prioritising your asks.

For most founders, their existing or current cap table is one of the most critical assets in a raise process. Founders that successfully close rounds tend to be most effective in getting the most value of our their existing cap table.

Pre-Seed investors routinely invest in companies in the pre-product and pre-revenue stages. With this write-up, we look to bring clarity and precision around what investors look for at this stage.

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Implications of Pre-Seed Valuations

At Pre-Seed, investors are often investing at a median valuation of $4m. Given the low entry price, Pre-Seed investors end up doing well as long as the Company is able to develop a reasonably strong product.

Put differently, the factors associated with whether or not the Company grows to a multi-billion dollar enterprise may not be super relevant for Pre-Seed investors. If the Company builds a strong product, and even if the Company is not wildly successful, Pre-Seed investors will still do fairly well.

Investor X invests $500K in the Pre-Seed round of Company Y at a 4m post-money valuation. Let's assume that the Company succeeds in building a reasonably strong product, but is ultimately unable to scale. The Company ends up selling for $18m (without raising subsequent venture rounds). Pre-Seed investors end up realising a 4.5x return on the original investment.

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Basis for Pre-Seed Investments

While there are broad variations in how Pre-Seed investors look at companies, a common theme is a clear focus on the founder's ability to build a strong product. How, then, do investors assess whether or not a founding team will succeed at building a strong product?

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At Pre-Seed, the main bet is on the founder's ability to build a great product. Investor discussions are, therefore, focused heavily on developing an assessment on whether or not a given founder will be able to build a great product.

Of all venture stages, Series A shows the steepest drop-off point. Specifically, of all companies that raised Seed rounds in the five-year period from 2015 to 2020, only 45% successfully raised Series A.

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The most common cause of drop-off is simply company performance. Most companies are unable to achieve the growth metrics that are typically required for Series A.

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For companies that hit exciting performance milestones, a sizeable drop-off stems from an inability to work capital markets. In Robotics or Consumer, for instance, raising capital has historically been much harder than for B2B SaaS or Fintech. Relative to the Seed landscape, we believe Series A is distinct in the following ways.

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In how founders manage their financing strategy, Series A rounds generally require a lot more sophistication than do seed rounds. From targeting to process, and from narrative to collateral, the general skill set required at Series A is fundamentally different from prior rounds.

Instead of relying on hearsay, founders across the board are now taking an empirical approach to raising their next round. At Metal, we are seeing customers use our platform in novel ways to discover the “most likely” partners for their company and round construct.

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Before pursuing an investor, founders need to run a “qualifying process” to ensure that the prospective partner is a strong fit. A rigorous process to identify, research and qualify investors is the highest leverage activity within fundraising, one that improves conversion rates.

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The below post focuses exclusively on identifying the “most likely” investors, and does not cover the qualifying process. In the identification process, there are six core principles at play.

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Focusing on “Stage Specialists” vs “Stage Tourists”

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Founders often confuse pre-seed and seed investors as one and the same. The common perception is that these are just stage names that do not carry much significance. In reality, investors have vastly different expectations at preseed versus at seed, and most investors that specialize at seed do not specialize at pre-seed. Readers that are looking to understand investor expectations at each stage can read more here.

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First Round tends to invest early, but they are really seed-stage investors, and not pre-seed partners. Since they specialize at the seed stage, they are “seed specialists” and “pre-seed tourists”.

By definition, stage specialists are investors that specialize in a given stage. Stage tourists are ones that invest in that stage opportunistically in outlier or unique opportunities.

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The first challenge for founders is to identify a set of “stage specialists” for their specific stage. This is easily achievable by filtering investors based on the percentage of investments that they have made in a given stage. The key thing is to not settle for ambiguous tags applied to investors in the absence of any underlying data.

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‍Distinguishing Between “Sector Familiarity” and “Sector Concentration”

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For venture investments, the landscape varies substantially from one sector to another. Some sectors have very strong and ongoing venture activity (I.e. B2B Software) while others have fewer investments in total (I.e. Industrials or Robotics).

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For any given sector, there are two types of investors – 

1. Investors that are familiar with the sector
2. Investors that are concentrating investments within the sector

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Investors that fall in the (1) category can be identified using a simple filter that identifies all investors that have made a minimum number of investments in a given sector. Investors that fall in the (2) category can be identified by filtering for investors that have made a minimum percentage of investments in a given sector.

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Investors that are familiar with a given sector are those that have previously invested in that space and are familiar with it. Investors that are concentrating in a given sector typically have a strong thesis for that opportunity space and may sometimes be stronger partners.

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As an example, Khosla Ventures is a well-known VC firm that has been concentrating investments in the healthcare sector. To date, they have made 27% of all investments within healthcare. Within healthcare, about half of all investments are in two specific sub-sectors: Drug Discovery (24%) and Therapeutics (29%).

It is fairly likely that Khosla has a clear and strong thesis in these sub-sectors, which may sometimes make them a particularly strong partner for healthcare companies building in these spaces.

Finally, at the pre-seed stage, most investors tend to be sector agnostic. This is primarily due to the investment model of venture investors at the pre-seed stage.

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Finding Geographically Relevant Investors

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Most users are either overly restrictive by focusing on only those investors that are based in their specific country, or are too liberal and end up pursuing investors that don’t focus on their geography. 

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• For founders in countries that have a highly developed venture ecosystem (I.e. US), the right approach is to identify investors that have made a healthy percentage of their investments in North America. This typically includes a large number of investors across Europe and Asia that love investing in US companies.

• In developing countries, a recommended approach is to identify investors that have previously invested in similar geographies. As an example, founders building in Egypt may want to identify investors that have made at least “3” investments in a cohort of similar geographies (I.e. Indonesia, Bangladesh, Pakistan, Egypt, etc.).

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The key thing is to identify investors that are “geographically relevant” based on their prior investments. This is typically different from taking an overly restrictive approach whereby users are focusing only on those investors that are based in their country or region.

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Tuning Into the Right Fund Size

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Founders raising large rounds need to target a small set of VCs that have large fund sizes. For such founders, the options are fairly limited (as there is a very limited number of VCs with a fund size of $500m+). On the contrary, founders looking to add a small amount of capital ($<1m) to an existing round need to target micro VCs that write $100-300K follow-on checks.

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The general rule of thumb is that most investors maintain a check size that is roughly 1-2% of the total fund size. As an example, investors with a fund size of $100M will typically write checks in the $100-200K range.

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Depending on the round dynamics, founders can focus on investors that have a fund size that meets their round requirements. A fund size mismatch is often a primary reason for why investors are unable to lead or participate in rounds.

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Zooming In on “Active” Investors

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Similar to startups, venture funds tend to have a fluid nature. At any given point in time, only 10% of all venture funds are actively deploying capital. Founders, therefore, need to filter for and focus on investment firms that have made at least “1” investment in the past 3 or 6 months.

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It is extremely common for founders to learn after a few calls that the fund is “barely active”, making only one or two investments each year. For funds that are operating in a “barely active” mode, the overall risk appetite is unique. Such funds will have behaviors that are a lot less predictable than ones that are actively and consistently deploying capital.

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Focusing on Lead Candidates at Round Kickoff

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Early on in the process of raising a round, founders need to first identify an “anchor” investor to lead the round. While most funds lead occasionally, there is a fairly limited pool of investors that frequently lead rounds, and that do not wait for a lead to come in before committing to invest. 

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When starting a round, founders need to focus on investors that have a history of leading. This is easiest to identify by looking at the percentage of investments that a given investor has historically led.

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Final Thoughts

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In summary, the six core principles defined above help build a clear criteria for the sort of round that founders want to raise. Based on the round requirements, founders then need to run a rigorous process to identify the right set of “most likely” investors. By targeting their efforts on the right set of investors, founders can significantly increase conversion rates at every step of the fundraising funnel.