A Startup Investor Database That's Actually Built for Fundraising

What Each Fund Profile Includes

Every fund in the database has structured data. Not a scraped LinkedIn bio. Not a paragraph of marketing copy. Fields you can search and filter on. That is what makes a startup investor database useful. You know what you are looking at. You know what you are getting. Generic databases give you a blob of text. You read. You guess. You hope. We give you fields. You filter. You compare. You decide. The difference is structure. Structure is what makes a VC database actionable. You do not have to read 200 fund pages. You filter by stage and sector. You get a list. You read the thesis on the funds that match. You add to pipeline. Done.

Name and partners. Fund name. Key partners or contacts when we have them. You see who is behind the fund. You see who to reach out to. No guessing. No digging through websites.

Stage. Pre-seed, seed, Series A. Some funds do one stage. Some do two. We tag each fund so you can filter. When you search for pre-seed you get funds that actually invest at pre-seed. Not funds that used to. Not funds that might. Funds that do. Stage is the first filter most founders care about. Get it wrong and you waste time. Get it right and you are talking to people who can write the check. The database is built for that. Stage is never missing. Stage is always filterable.

Sector. B2B, fintech, healthtech, climate, AI, consumer, deep tech. Funds have thesis. We tag it. You filter by it. A B2B SaaS founder gets B2B funds. A climate founder gets climate funds. The VC database is built for that. Relevance over volume.

Geography. Where the fund invests. Europe. US. UK. Nordics. DACH. Specific cities when it matters. You filter by your region. You get funds that invest where you are. Or funds that invest globally. Your choice. A Stockholm founder does not need a list of US-only funds. A Berlin founder might want DACH and Europe. The database supports that. Geography is a field. You filter. You get results that match. No more guessing which funds invest in your market. The data says it. You use it.

Check size. Typical investment range. €200K to €500K. €1M to €3M. We tag it. You filter by it. You do not waste time on funds that write €50K checks when you need €1M. You do not waste time on growth funds when you are pre-seed. Check size is in the profile. You use it. Nothing is worse than a great conversation with a fund that only does €100K when you need €500K. The profile tells you. You filter before you reach out. You save time. You save the relationship.

Thesis and portfolio. What the fund focuses on. Notable portfolio companies when relevant. You read the thesis. You see if you fit. You decide whether to reach out. The investor database for startups should give you enough to decide. RaisePilot does. Name. Stage. Sector. Geography. Check size. Thesis. That is the profile. Nothing missing. Nothing buried.

RaisePilot vs Crunchbase

How does our investor database compare to Crunchbase? Here is a direct comparison. Crunchbase is the default for many founders. It is big. It is known. It is also built for research, not for running a round. We built RaisePilot for founders who are raising. Matching. Pipeline. Database. One product. Full Crunchbase alternative comparison for more detail.

	Crunchbase	RaisePilot
Focus	General company and investor data. Researchers, sales, analysts.	Fundraising. Founders raising rounds. Investor database for startups.
Matching	No. Search and filter only. You build the list.	Yes. Profile-based matching. Ranked list by fit. Plus manual search.
CRM	No. Export to spreadsheet or use another tool.	Yes. Fundraising pipeline with stages, reminders, history. One click from database to pipeline.
Data points	Very large. Mixed depth. Many profiles, variable quality.	Curated. Stage, sector, geography, check size, thesis. Verified. Built for relevance.
Price	Free tier limited. Pro around $49/month.	€9/month Runway (matching + pipeline). €299/year Navigator (full database).
Best for	Research. Broad discovery. When you need maximum coverage.	Raising a round. Matching + pipeline + database. When you need relevance and workflow.

Crunchbase is a VC database with a lot of profiles. RaisePilot is a startup investor database with matching, pipeline, and curated data. You get a workflow. Not just a list. If you want one place to find investors and run your round, RaisePilot. If you want the largest possible dataset and will build your own process, Crunchbase. Different products. Different use cases. Many founders start with Crunchbase. They search. They export. They paste into a spreadsheet. They lose the link between the data and their pipeline. RaisePilot keeps database and pipeline in one product. You find. You add. You track. No export. No second tool. That is why we built an investor database for startups. Not a generic database. A fundraising tool.

Search and Filter

You get two ways to find investors. Automatic matching and manual search. Both use the same database. Both lead to the same pipeline. Some founders want a ranked list in two minutes. They use matching. Some founders want to explore. They use search. Some use both. Match first. Then browse by sector to find a few more. The investor database for startups supports both. One product. Two entry points. Same outcome. Funds in your pipeline. Round in motion.

Automatic matching. Fill in your startup profile. Stage, sector, geography, check size. Investor matching ranks the database by fit. You get a list. You see the best matches first. You add to pipeline with one click. No search. No filtering. The algorithm does the work. That is the fastest path. Minutes to a list. Minutes to your first email.

Manual search. You can also search and filter the database yourself. By stage. By sector. By geography. By check size. You browse. You explore. You find funds that match your criteria. You add them to your pipeline with one click. Same pipeline. Same workflow. Different entry point. Some founders like matching. Some like to browse. Both are in the product. Navigator plan includes full database access. Runway includes matching and pipeline; upgrade to Navigator for search and browse. You can also browse by city or sector on our investors page. London. Berlin. Paris. SaaS. Fintech. Climate. The pages show funds in that category. You click through. You add to pipeline. The VC database is built for both workflows. Matching when you want speed. Search when you want control.

One click to pipeline. Whether you found the fund via matching or search, you add them to your fundraising pipeline. They appear in your deal stages. You track the conversation. You set reminders. You run the round. The database and the pipeline are connected. No export. No copy-paste. No second tool. That is the product. An investor database for startups that feeds directly into your round. You do not leave the product to track. You do not open a spreadsheet. You add. You track. You follow up. All in one place. The startup investor database and the CRM are the same product. That is the difference between RaisePilot and a generic database. We are built for the full workflow. Find. Add. Track. Close.

How We Keep Data Clean

We do not scrape. We do not pull from LinkedIn and hope. We curate. We verify. We deduplicate. The VC database is only as good as the data. We treat it that way.

Curated. We add funds that matter for early-stage founders. Pre-seed to Series A. We do not add every fund in the world. We add funds that invest in startups. That invest in your stage. That invest in your geography. The list is focused. The list is useful. A small curated VC database beats a huge messy one. Every time.

Deduplicated. One fund, one profile. No duplicate entries. No three versions of the same fund with different spellings. We merge. We clean. You see one record per fund. You do not waste time on duplicates. You do not add the same fund twice to your pipeline. Scraped databases are full of duplicates. Same fund. Different spelling. Different URL. You think you have 50 funds. You have 35. You have emailed the same fund three times. We avoid that. One fund. One profile. Clean. Simple.

Verified. We check stage, sector, geography, check size. We update when things change. Funds shift focus. Partners leave. Check sizes move. We update the profile. You see current data. Not data from two years ago. Not data that was never checked. Verified. That is the standard. You make decisions on the data. The data should be right. We work to keep it right. That means we do not scale by scraping. We scale by curating. Slower. More accurate. Better for you. An investor database for startups that founders actually use needs to be trustworthy. You are sending emails based on this. You are adding people to your pipeline. Wrong data means wrong emails. Wrong meetings. We avoid that. We verify.

Not scraped. Scraped data is stale. It is wrong. It is duplicated. We do not do that. We build a startup investor database that founders can trust. You filter. You get results that match. You add to pipeline. You reach out. The data holds up. That is how we keep it clean. We would rather have a smaller database that works than a huge database that fails you. Quality over quantity. Every fund in the database is there because it is relevant for founders raising. Every field is there because it helps you decide. That is the bar. We keep the bar high. You get a VC database you can actually use. Not a graveyard of outdated profiles. A living tool for your round. When you filter by pre-seed B2B in Europe, you get funds that match. When you add them to your pipeline, they stay there. When you follow up, the history is there. The investor database for startups is not a static list. It is the start of your round. You find. You add. You track. You close. We built it for that. No research project. No endless browsing. A startup investor database that leads to action. You use it. You close the round. That is the goal.