
How to Use Evalyze Investor Discovery
Learn how to use Evalyze’s new Investor Discovery tool to search, filter, and shortlist investors without AI.
November 11, 2025
Find pre-seed investors by sector, location, and check size. Use this global list to build a sharper fundraising shortlist before outreach.

Pre-seed angel investors around the world are individuals who back startups at the earliest fundraising stage, often before major revenue or institutional funding. They usually invest smaller checks, support founders with networks and advice, and focus on sectors they understand, including SaaS, AI, fintech, climate technology, and health.
Evalyze.ai helps founders move from broad investor research to a more focused shortlist using pitch deck analysis, investor discovery, and AI investor matching.
Upload your pitch deck, check your investor readiness, and match with Pre-seed investors.
Key Takeaways
The best pre-seed investor list is filtered by stage, sector, geography, and check size.
This table groups global pre-seed investors by sector so founders can avoid weak-fit outreach.
AI, SaaS, fintech, climate tech, e-commerce, consumer, health, and deep tech investors are covered.
Before emailing anyone, check if the investor actually writes checks at your round size.
Evalyze Investor Discovery lets founders filter pre-seed angel investors inside the dashboard.
Pre-seed is not just “early money.” It is usually the round where investors are buying founder-market fit, early product evidence, and a credible path to the next milestone.
Carta’s Q1 2026 pre-seed report says roughly 3,000 U.S.-based startups on Carta raised pre-seed funding in Q1 2026, with more than $2.3 billion already recorded and an expected final total near $2.9 billion.
Carta also reported that SAFEs remained the default early-stage financing instrument, while convertible notes accounted for only 7% of pre-seed rounds and 8% of pre-seed dollars in Q1 2026.
That means your list has to be tighter. A fintech angel who writes $25K checks is not the same target as a climate infrastructure advisor connected to $2M+ checks.
Use the table below as a starting shortlist, then qualify each investor by five filters:
| Filter | Why it matters |
|---|---|
| Stage | Pre-seed investors may also invest at seed or Series A, but their earliest check behavior is what matters for you. |
| Sector | A sector-fit investor understands the market risk faster. |
| Geography | Some angels invest globally; others mostly invest near their network. |
| Check size | A $10K angel and a $2M fund lead belong in different outreach sequences. |
| Investor type | Angels, operators, advisors, scouts, micro-funds, and VC partners respond to different pitches. |
Before building your list, use a pre-seed fundraising checklist to check if your startup is ready for investor conversations.
Use this sector-by-sector list to find pre-seed investors who match your startup. Each profile includes the investor’s geography, typical check range, and focus area so you can build a tighter shortlist before starting outreach.
How to use this cluster:
If your startup is AI or SaaS, do not pitch the word “AI” as the edge. Investors now expect a clear answer to what is defensible. Carta reported that AI startups raised about 50% of pre-seed dollars in Q1 2026, making the category attractive but more crowded.
| Investor | Location | Typical check range | Sector focus | Best-fit founder | Investor Profile |
|---|---|---|---|---|---|
| Dennis Chalke | United States | $250K-$2M | SaaS, AI, enterprise software, developer tools | Technical founders building software infrastructure or developer-first products | View More |
| Nicolas Metivier | France | $10K-$100K | SaaS, AI, cybersecurity | Early B2B software teams raising smaller pre-seed or seed checks | View More |
| Seif Mahjoub | France | $250K-$10M | AI, enterprise software, deep tech, cloud infrastructure | Technical founders building infrastructure-heavy AI or cloud products | View More |
| Felicia Parker | Canada | $5K-$100K | AI, deep tech, robotics, SaaS | Deep tech founders needing operator-style support at the earliest stage | View More |
| Adrian Ambarus | United States | $100K-$750K | AI, enterprise | Founders building enterprise AI platforms or B2B technical products | View More |
| Artem Luko | United States | $50K-$1.5M | SaaS, AI, fintech | San Francisco-based or U.S.-market founders raising pre-seed or seed | View More |
| Jordan Ng, Wei Jun | Singapore | $100K-$1.5M | SaaS, AI, fintech, enterprise | Southeast Asia or global software founders with early growth signals | View More |
| Felipe Sommer | United States | $250K-$2M | SaaS, AI, cloud infrastructure | Software infrastructure founders raising from pre-seed to Series A | View More |
| Ashley Gautreaux | United States | $100K-$500K | SaaS, enterprise, vertical software, AI | B2B software founders who want capital plus operational support | View More |
How to use this cluster:
Fintech investors will look past the deck design quickly. They usually care about regulation, risk, trust, distribution, and who owns the customer relationship. If you are raising pre-seed for a payments product, your list should separate payments operators from general fintech angels.
| Investor | Location | Typical check range | Sector focus | Best-fit founder | Investor Profile |
|---|---|---|---|---|---|
| Anisha Kothapa | United States | $250K-$2M | FinTech | Fintech founders needing growth and product strategy support | View More |
| Sumon Sadhu | United Kingdom | $100K-$750K | FinTech, financial infrastructure | Founders building in regulated or financial operations markets | View More |
| Ben Kong | United Arab Emirates | $100K-$750K | FinTech, SaaS, AI, developer tools, consumer internet | MENA or global founders building software-enabled fintech products | View More |
| Jonatan Allback | Netherlands | $100K-$2M | FinTech, payments | Payments, embedded finance, and transaction infrastructure startups | View More |
| Dennis Liu | United States | $100K-$1.5M | FinTech, SaaS, AI, consumer internet | Early-stage founders refining growth, fundraising, and market positioning | View More |
| Valerie Wagoner | Singapore | $25K-$250K | FinTech, SaaS, AI, consumer internet | Southeast Asia founders seeking angel support and product-market fit guidance | View More |
How to use this cluster:
Climate and deep tech founders need a different investor list from SaaS founders. The check sizes are often larger, diligence takes longer, and the proof points can include pilots, technical validation, regulatory progress, manufacturing readiness, or infrastructure partnerships.
| Investor | Location | Typical check range | Sector focus | Best-fit founder | Investor Profile |
|---|---|---|---|---|---|
| Agostino Trapani | United Kingdom | $250K-$750K | AI, deep tech, robotics, ClimateTech/CleanTech | University-linked or science-backed founders building technical climate products | View More |
| Alex Qiu | United Kingdom | $125K-$1M | AI, robotics, deep tech | Scientific and technical founders raising pre-seed, seed, or Series A | View More |
| Kwan-Yin Graw | United States | $2M-$25M | ClimateTech/CleanTech, energy technology | Climate and energy transition founders with larger capital needs | View More |
| Knut Simonsen | United States | $2M-$25M | ClimateTech/CleanTech, energy technology, deep tech | Industrial, energy, and sustainability startups with technical depth | View More |
| Abhishek Agrawal | United States | $2M-$25M | ClimateTech/CleanTech, energy technology | Founders working on long-term climate and energy innovation | View More |
| Nicolas van Lierde | United Arab Emirates | $2M-$25M | ClimateTech/CleanTech, energy technology | Sustainability and infrastructure founders with international market relevance | View More |
Carta’s 2025 review also noted that SaaS remained the largest startup industry by cash raised, while hardware and biotech/pharma ranked second and third, respectively, among U.S.-based Carta startups. That supports a clear lesson for founders: investors are not only funding lightweight software at pre-seed.
How to use this cluster:
Consumer investors usually want proof that users care before the pitch becomes too financial. That can mean retention, repeat usage, marketplace liquidity, waitlist quality, referral behavior, purchase frequency, or a strong founder insight from the category.
| Investor | Location | Typical check range | Sector focus | Best-fit founder | Investor Profile |
|---|---|---|---|---|---|
| Bjorn Kolbmueller | Germany | $5K-$50K | Consumer internet, e-commerce, enterprise, SaaS | European founders building commerce, marketplace, or B2B software products | View More |
| Dillon Ferdinandi | United States | $1M-$5M | SaaS, consumer internet, workplace products | Seed or Series A founders building collaboration, productivity, or work-life products | View More |
| Jonas Nordlander | Sweden | $5K-$50K | Consumer internet, e-commerce, fintech, marketplaces | Nordic or European marketplace founders seeking operator capital | View More |
| Josh Berns | United States | $500K-$1M | Consumer internet | Consumer founders with a clear category wedge and an early user signal | View More |
| Sebastian Siemiatkowski | Sweden | $5K-$50K | E-commerce, fintech, payments | Commerce and payments founders who can benefit from Klarna-style operator insight | View More |
| Christian Gaiser | Germany | $5K-$50K | E-commerce, real estate/property tech, travel tech | European founders in commerce, hospitality, or real estate technology | View More |
| Martin Randel | Sweden | $5K-$50K | E-commerce, enterprise, consumer goods | Consumer and B2B commerce founders with operational complexity | View More |
| Mauro Del Rio | Italy | $5K-$50K | E-commerce, enterprise, digital media, fintech | Italian or European founders building digital commerce or media-led products | View More |
| Niklas Östberg | Switzerland | $5K-$50K | SaaS, e-commerce, consumer platforms | Founders building delivery, commerce, or consumer infrastructure products | View More |
| Johan Hernmarck | Sweden | $5K-$50K | E-commerce, enterprise, marketplaces | Nordic B2B marketplace or e-commerce founders | View More |
| Blaine Vess | United States | $10K-$100K | Consumer internet, fintech, health IT, education, Web3 | Generalist early-stage founders seeking operator-style angel capital | View More |
Do not send the same email to a Klarna founder, a Slack Fund investor, and a marketplace angel. The thesis overlap may be real, but the reason they care will be different.
How to use this cluster:
Health and biotech investors will usually ask harder diligence questions earlier. Expect questions around evidence, clinical workflow, regulation, data quality, reimbursement, procurement, and why the team can sell into a slow-moving system.
| Investor | Location | Typical check range | Sector focus | Best-fit founder | Investor Profile |
|---|---|---|---|---|---|
| Akta Raja | United States / UK network | $125K-$1M | Biotech, health and hospital services, deep tech | Health, biotech, and science-driven founders needing strategic guidance | View More |
| Kevin Liu | United States | $50K-$100K | AI, e-commerce, health, climate, technical startups | Founders who fit Techstars-style early-stage funding and follow-on pathways | View More |
How to use this cluster:
Generalist investors are useful, but only if your pitch is specific. If an investor backs many categories, your job is to show why your startup fits their personal pattern: operator background, portfolio overlap, geography, check size, or network advantage.
| Investor | Location | Typical check range | Sector focus | Best-fit founder | Investor Profile |
|---|---|---|---|---|---|
| Ben Kong | United Arab Emirates | $100K-$750K | AI, SaaS, fintech, developer tools, consumer internet | Founders who want MENA access plus global early-stage capital | View More |
| Dennis Liu | United States | $100K-$1.5M | FinTech, SaaS, AI, consumer internet | Founders needing strategic support across growth and fundraising | View More |
| Blaine Vess | United States | $10K-$100K | Education, consumer internet, fintech, health IT, digital health, Web3 | Founders who fit broad early-stage technology categories | View More |
| Kevin Liu | United States | $50K-$100K | AI, e-commerce, climate, health, technical startups | Founders seeking early checks and capital network support | View More |
A weak investor list is usually too large and too vague. A better list is smaller, scored, and sequenced.
Use this scoring model before adding an investor to your first outreach batch:
| Fit signal | Score |
|---|---|
| Invests at pre-seed or writes first checks | 0-2 |
| Sector match is direct, not adjacent | 0-2 |
| Check size fits your round construction | 0-2 |
| Geography or network matches your market | 0-2 |
| Has portfolio, operator, or thesis overlap | 0-2 |
Score 8-10: add to first outreach batch.
Score 5-7: keep for second batch or warm intro search.
Score below 5: save for later unless there is a personal connection.
If you need a deeper workflow, start with this guide on how to build an investor list based on your startup.
Investor outreach is not a volume contest. For a serious pre-seed raise, build a working list of around 200 qualified investors, then contact roughly 80-120 during the active raise.
Split the list into dream leads, strong-fit funds, warm angels and operators, and solo GPs or micro-funds so you pitch each group in the right order.
Inside the Evalyze dashboard, use Investor Discovery before you start writing cold emails.
Set these filters first:
Stage: Pre-seed
Investor type: Angel investor, operator angel, micro-fund, VC, scout, advisor
Sector: SaaS, AI, fintech, climate tech, e-commerce, health, biotech, deep tech, consumer internet
Geography: Your target market, investor location, or expansion market
Check size: Match the investor’s typical range to your round plan
Then build three lists:
| List | Who belongs there | How to use it |
|---|---|---|
| First checks | Angels, operators, solo GPs, fast-moving micro-funds | Pitch early to test the narrative and build momentum |
| Strong-fit funds | Sector-matched investors with relevant check sizes | Pitch after your message is sharper |
| Dream leads | Brand-name or high-conviction investors | Pitch later, once you have better data and warmer signals |
A founder raising $750K for a B2B AI infrastructure product should not start with broad “AI investors.” They should filter for pre-seed, AI infrastructure, developer tools, and, if relevant, U.S. or Europe, and check sizes between $100K and $750K. That gives them a workable shortlist instead of a directory dump.
Once your shortlist is ready, the next step is to create an investor campaign instead of sending one-off cold emails.
A good investor list will not save a weak fundraising package. Before outreach, prepare the basics:
| Asset | What investors need to see |
|---|---|
| Pitch deck | Problem, solution, market, product, traction, business model, competition, team, ask |
| One-line description | A plain sentence that explains what you build and who pays |
| Round plan | How much you are raising, why that amount, and what milestone it funds |
| Investor thesis match | One sentence on why this investor is relevant |
| Tracked deck link | So you can see who opened, forwarded, or ignored the deck |
| Follow-up sequence | A short cadence that adds new information, not pressure |
Finding pre-seed angel investors manually can eat days before you even know if they fit your round. Evalyze helps you turn that process into a focused fundraising workflow.
Inside your dashboard, you can use:
Investor Discovery to filter investors by stage, sector, geography, check size, and investor type.
AI Investor Matching to find investors who fit your startup profile.
Pitch Deck Score (Startup Analyzer) to see how prepared your startup looks before outreach.
AI Pitch Deck Coach to improve your story, ask, market slide, traction slide, and investor narrative.
Automated Outreach tools to move from the investor list to campaign execution faster.
Fundraising resources and coaching to help you prepare for meetings, objections, and follow-ups.
A better investor list will not guarantee replies. But it will stop you from wasting your best pitch on the wrong people.
FAQ

Learn how to use Evalyze’s new Investor Discovery tool to search, filter, and shortlist investors without AI.
November 11, 2025

Learn how to build an investor list with Evalyze.ai. Step-by-step guide to find matched investors, shortlist the best fit, and raise smarter.
September 22, 2025