DryPowder

7 Series A Deep Tech Investors in San Francisco — 6 Currently Deploying

Updated

7
Total funds
6
Currently deploying
86%
Deployment rate
$250K–$2M
Typical check range

Funds (7)

True Ventures
● Deploying$250K–$2M

Accelerating AI-native founders at the earliest stages. Lead early rounds in companies and founders building the future, providing that first check before others think you're onto

AgFunder
● Deploying

Investing in deeptech and foundational technologies that remove structural constraints to sustainable scale in food, agriculture, and planetary health, with AI as core infrastructu

Ironfire Ventures
● Deploying

Invest in startups from seed to Series B across Artificial Intelligence, Lifestyle consumption upgrades, and Frontier Technology, partnering with founders creating waves of innovat

Maven Ventures
● Deploying

Invest in technical founders building software that will improve millions of consumers' lives. Back bold founders with a vision worth fighting for.

Schematic Ventures
● Deploying

Investing in technology companies within supply chain, manufacturing, and software infrastructure that makes and moves the world.

Bain Capital Ventures
● Deploying

Use tightly focused expertise and an unparalleled global network to help founders realize their potential across all stages, from incubation to growth-stage scaling.

Piva Capital

Piva Capital invests in people, companies, and breakthrough technologies at the inflection of scientific breakthrough and mass market impact to usher in a new industrial era across

Which of these Series A Deep Tech funds actually fits your startup?

DryPowder's AI matching ranks all 7 by thesis fit, check size, and deployment status.

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Related investor lists

Series A FintechSeries A AI & Machine LearningSeries A SaaSSeries A HealthcareSeries A ConsumerSeries A Biotech

Frequently asked questions

How many series a deep tech investors are actively deploying right now?

DryPowder tracks 7 series a deep tech funds. Of these, 6 are currently deploying capital based on recent fund closes, portfolio activity, and partner signals. Use DryPowder's fund matching to see which ones fit your specific startup.

What check size do series a deep tech VCs write?

Among 7 series a deep tech funds on DryPowder, check sizes run from $250K–$2M. Ranges vary by fund size, vintage, and whether the fund leads rounds. Each fund profile shows check size detail and lead preference.

How do I get a meeting with a series a deep tech VC?

A warm intro is still the fastest path. Most series a deep tech VCs on DryPowder do accept cold outreach or direct applications, but response rates vary widely by fund. Before reaching out, use DryPowder's AI matching to get a fit score and specific talking points. Founders who lead with thesis-aligned framing get significantly better response rates than those sending the same deck to every fund on a list.

How long does a Series A process typically take?

Series A processes average 4-6 months. Unlike seed, you will navigate formal partner meetings, IC presentations, data room reviews, and reference calls. First meeting to term sheet alone takes 6-10 weeks at most firms. Running a compressed, competitive process where you approach all target investors in the same short window tends to produce faster decisions and better terms than a sequential approach.

How many series a deep tech investors should I be talking to at once?

Most fundraisers recommend a parallel process: identify 20-40 target investors but approach your highest-fit funds first. Of the 6 series a deep tech funds currently deploying, not all will match your specific stage and sector. Use fund matching to find your top 10-15, approach those first, collect feedback, then go wider. Going to every fund simultaneously without qualifying first burns bridges and dilutes the urgency that helps close a round.

How is DryPowder different from building a VC list on LinkedIn or Crunchbase?

The fund list you build on LinkedIn or Crunchbase is roughly the same list every other founder is building. DryPowder adds three things a manual search cannot: deployment signals (which funds have recently closed new vehicles and are actively writing checks), AI thesis matching (which of the 7 series a deep tech funds actually fits your specific startup, ranked by fit), and verified partner contact details. The goal is 15 targeted, thesis-aligned pitches instead of 150 generic ones.

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