The Most Active AI and ML Investors, Q3 2026

1. Augurey Ventures (Frank Cardia): 10 Q3 vehicles, $19.5M disclosed. Series of single-company vehicles tied to Anthropic.

2. 8VC (Joseph Lonsdale): 6 Q3 vehicles, $7.8M disclosed. Fund VII through X; only one amount disclosed.

3. Tribe Capital (Boris Revsin): 4 Q3 vehicles, $77.7M disclosed. AI Funds VIII, IX, X and XI.

4. Soma Capital (Aneel Ranadive): 3 Q3 vehicles, $157.5M disclosed. AI Funds V, VI and VII.

5. Elemental AI (Dany Katra): 3 Q3 vehicles, $100.0M disclosed. Argon-1, Argon-2 and Fund I.

6. Rizvi AI (Suhail Rizvi): 3 Q3 vehicles, $56.2M disclosed. Three AI vehicles filed in July and August.

7. Andreessen Horowitz: 3 Q3 vehicles, amount undisclosed. AI Opportunities, plus AI Applications and AI Infrastructure vehicles.

8. Alumni Ventures (AV AI): 2 Q3 vehicles, $173.5M disclosed. AV AI Growth Fund and AV AI Fund.

9. Quartus Capital Partners (Afzal Tarar): 2 Q3 vehicles, $117.9M disclosed. Quartus AI Fund II and Quartus AI Holdings.

10. Lightspeed (Ravi Mhatre): 2 Q3 vehicles, amount undisclosed. AI Renaissance Fund and its co-investment vehicle.

AngelLinx Intelligence tracked 167 distinct AI and ML tagged vehicles in Q3 2026, and the ten investors above account for 38 of them. Browse the full AI and machine learning investor directory to filter by stage and check size.

How This Ranking Was Built

Firms are ranked by the number of new AI-tagged vehicles they opened between July and September, with disclosed dollars as the tiebreaker. Several large names filed vehicles without a dollar figure, which is common when a fund is still raising, so a blank amount means nothing has been disclosed yet and not that the raise is small. One additional filer opened 19 AI-tagged series vehicles during the quarter, but those are deal-by-deal SPVs run as a syndicate, so we left it out of a list meant for founders looking for a fund to pitch.

Seed and Early Stage: Soma, Tribe and Quartus

Soma Capital is a seed-stage firm founded in 2015 by Aneel Ranadive with a heavy lean toward AI applications and infrastructure, and it opened three AI funds in the quarter totaling $157.5 million, the largest disclosed total among the dedicated early-stage names. Tribe Capital, led by Boris Revsin, opened four AI funds for $77.7 million combined and has backed OpenAI and Kraken, which makes it a fit for founders who want a multi-stage investor with crypto and AI exposure. Quartus Capital Partners, founded by Afzal Tarar in New York, closed its first AI fund at more than $50 million in 2025 and has now opened two more vehicles worth $117.9 million, a sign that its first fund performed well enough to raise again.

Platforms and Programmatic Funds: 8VC, Alumni Ventures and Elemental

8VC opened six AI funds in the quarter but disclosed an amount for only one, a $7.8 million vehicle, which is typical of a firm raising through several parallel pools. Alumni Ventures runs AI vehicles under the AV name and filed $173.5 million across two of them, the largest disclosed total in the ranking, and its model tends to suit founders who want a broad syndicate of alumni investors rather than a single lead. Elemental AI filed three vehicles, with $100 million disclosed across its Argon-1 and Argon-2 vehicles, and its Fund I filing lists a $450 million total offering amount.

Large Platforms Raising Quietly: a16z and Lightspeed

Andreessen Horowitz opened AI Opportunities, AI Applications and AI Infrastructure vehicles without disclosing amounts, and Lightspeed opened an AI Renaissance Fund plus a co-investment vehicle on the same basis. These filings tell a founder that both firms are building dedicated AI pools, which usually means more check capacity for the category, even though the size is not public yet.

What This Means for Founders

For a founder building in AI, the ranking is a map of where fresh capital is being set aside, not a list of who will answer a cold email. Match your stage first: Soma and Tribe suit pre-seed and seed rounds, Quartus fits companies already past first revenue, and the large platforms matter mostly at Series A and beyond. When you pitch a firm that opens a new fund each quarter, ask which vehicle is making the investment, since a lead investor writing from a freshly raised pool can move faster than one deploying an older fund. Finally, model what a round costs you in dilution before you collect term sheets from several of these funds at once.

Browse the AI and machine learning investor directory for more active funds, read the baseline mechanics of a seed roundif the term is new, or explore active capital on AngelLinx @ angellinx.ai/register.

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