9 Series C AI & Machine Learning Investors — 9 Currently Deploying

Offer founders pursuing their life's work an alternative to the hype cycle by providing long-term thinking and supporting category-defining companies across all sectors that will l…

Insight Partners scales ambition at every stage through software expertise, operating excellence, talent networks, and flexible capital across 30+ years, supporting 800+ companies …

Partner with visionary founders at the intersection of bold vision and relentless execution. Active investors seeking to be partners during the rapid growth stage of scaling journe…

Support domestic and international startups through capital provision and business collaboration, leveraging Dentsu Group's creative and strategic resources alongside global VC net…

We help founders build a healthier & more sustainable future by investing capital, time & belief to accelerate success. We invest in driven founders building pioneering companies t…

Multi-stage venture capital firm that goes beyond traditional VC playbook by providing entrepreneurs support of a global ecosystem, connecting innovators everywhere.

Help support entrepreneurs building globally ambitious companies that matter. Focus on companies solving meaningful problems across diverse sectors and geographies.

Back seed-stage founding teams scaling technologies in established energy, infrastructure, and AI markets to accelerate energy abundance and build high-growth businesses.

Straightforward honesty is the best support a VC can bring to enable founders to react faster and execute with relentless focus.

How many series c ai & machine learning investors are actively deploying right now?

DryPowder tracks 9 series c ai & machine learning funds. Of these, 9 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 c ai & machine learning VCs write?

Among 9 series c ai & machine learning funds on DryPowder, check sizes run from $500K–$250M. 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 c ai & machine learning VC?

A warm intro is still the fastest path. Most series c ai & machine learning 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.

What do Series C investors focus on during diligence?

Series C diligence is closer to private equity than early-stage venture. Investors focus on financial performance, market leadership, and a clear path to exit or profitability. Expect deep analysis of unit economics, competitive moats, and management team depth. The process typically takes 3-6 months and involves CFO-level engagement from both sides.

How many series c ai & machine learning 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 9 series c ai & machine learning 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 9 series c ai & machine learning 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.