Data and analytics investors
Data infrastructure investors are technically literate and will interrogate architecture claims directly, so precision beats polish here.
How to approach this segment
Be exact about where you sit in the stack. "We help companies use their data" describes hundreds of companies; naming the specific layer you replace, and what it currently costs the customer to run, converts far better in this segment.
Migration cost is the standing objection. Data tooling is sticky because switching is painful, so evidence that a customer actually completed a migration to you — not just signed — is the proof point that moves these conversations.
What else these investors fund
Focus areas most often listed alongside Big Data & Analytics by investors in this segment. Useful for judging whether an adjacent framing of your company would widen or narrow your list.
- Artificial Intelligence & Machine Learning (AI/ML) 494
- Software 489
- SaaS 459
- Information Technology 380
- FinTech 369
- Healthcare 349
- Enterprise 298
- E-Commerce 288
Where they are based
- San Francisco 122
- New York 96
- Palo Alto 55
- Menlo Park 52
- Boston 41
- London 19
See which investors these are
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