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Overview

Beyond company, signal, and people data, VC funds often need specialized data: market intelligence, academic research, patents, financial data, and sector-specific sources.
This page isn’t comprehensive, it’s a starting point for inspiration. The specialized data landscape is vast and constantly evolving. If you’ve found a great resource that should be here, suggest an edit.

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Market and Financial Data

These are primarily useful for growth-stage funds doing comparables analysis or funds that invest alongside public market activity. Most early-stage funds won’t need this level of financial data.

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Research and Academic Data

For deep tech and science-based funds, academic research is critical for evaluating technical founders and understanding technology landscapes. These are mostly free and publicly accessible. The challenge isn’t cost, it’s knowing how to use them and having the domain expertise to interpret what you find.

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Patent and IP Data

Patents indicate technology development, potential IP moats, and founder technical depth. Most patent data is publicly available through government databases. Paid tools like Lens and PatSnap add analytics, visualization, and search on top.

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Web Traffic and E-commerce Data

For evaluating consumer-facing companies, web traffic and e-commerce data can provide useful signals about traction and market position. These tools are particularly useful when evaluating companies in consumer, e-commerce, or mobile-first categories where traditional funding data doesn’t capture traction.

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Geospatial Data

Location intelligence can be valuable for evaluating companies in retail, real estate, logistics, and other location-dependent sectors. Useful when evaluating companies where physical location matters: retail chains, logistics, real estate tech, or any business with brick-and-mortar components.

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Sector-Specific Data

Some sectors have specialized data needs that general providers don’t cover well. Healthcare/Bio: Fintech: Climate/Energy:

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LLM-Powered Research Tools

LLMs with search capabilities are increasingly useful for market research, competitive analysis, and due diligence. Unlike traditional databases, these tools synthesize information from multiple sources and return cited answers. These tools are useful for:
  • Quick market sizing and landscape overviews
  • Finding competitors and similar companies
  • Background research on founders or technologies
  • Synthesizing public information during due diligence
The key advantage is that they return sources with their answers, so you can verify the underlying data. Integrate them into your research workflows via API.

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Considerations

Specialized data requires domain expertise: Market data and research data are only valuable if you can interpret them. These sources work best when you have domain expertise on your team. See Considerations for cost and vendor relationship guidance.