Early-stage AI

We back the software layers of the AI stack.

Supra is an early-stage firm investing at pre-seed and seed in AI infrastructure, tooling, agents, and vertical applications. We write early checks and move at the speed the round demands.

Thesis

Value accrues in layers. We invest where our experience is.

  1. 06Applications and vertical AI
  2. 05Agents, orchestration, workflow
  3. 04Data, retrieval, developer tooling
  4. 03Models and model tooling
  5. 02Infrastructure and inference
  6. 01Compute and hardware — watched, not underwritten

We follow a layered reading of the AI stack. We study the whole value chain, then concentrate in the software layers where we have built, shipped, and hired — layers two through six.

Silicon and hardware we watch rather than underwrite: longer cycles, heavier capital, richer early pricing.

The question we ask

What breaks if a foundation model ships this natively? If nothing does, we keep listening.

Founders

What earns an early check

Technical or domain depth

Founders who know something about their problem that the market hasn't priced yet.

A defensible wedge

Something hard to copy — data, workflow depth, distribution, or genuine engineering difficulty.

A market that is expanding

Categories being redrawn by AI rather than incrementally improved by it.

How we work

  1. A first conversation, usually within a week of reaching out.
  2. A technical read: architecture, model dependency, inference economics.
  3. References through operators who have worked with you.
  4. A decision. Typically two weeks from first call, and a clear no if it's a no.

No warm intro required. A short note about what you’re building is enough.

Send us a note

Team

We build before we back

Fifteen years shipping AI and data platforms inside the companies that built this category, and a decade adjacent to the funds and labs where the next ones start.

Built

  • Salesforce

    Tech lead on the Einstein AI platform, search infrastructure, and analytics.

  • Ava Labs

    Engineering leader on data and API platforms at protocol scale.

  • Matterport

    Staff engineer and senior manager through the IPO.

  • Amazon

    Infrastructure at consumer scale.

Invested and advised

  • SoftBank

    Technical advisor on due diligence across enterprise SaaS, data, AI, edge, and robotics.

  • Founded and exited

    Built and sold an AI company for knowledge work in legal, healthcare, and voice.

  • VC Lab · Pi Ventures

    Venture fellowships, one with a sub-10% acceptance rate.

  • Angel investing

    Personal checks across frontier models, compute, and AI applications.

Teaching and research

  • USC Viterbi

    Instructor on AI agents and copilots.

  • Published research

    arXiv papers on quantum-inspired and equivariant machine learning, plus 55+ articles on AI systems.

  • Six US patents

    System architecture and cloud infrastructure, commercially licensed.

  • CMU · Stanford · Draper

    Mentor and advisor at the Swartz Center, the Stanford Web3 and AI Research Group, and DraperU, where much of our deal flow starts.

15+
Years building AI and data platforms
6
US patents in systems and cloud
10+
Companies built inside
45+
AI founders in the active network
2 wks
Typical time to a decision

Questions

Common questions

What stage does Supra invest at?

Supra invests at pre-seed and seed. We write early checks and move at the speed the round demands.

What does Supra invest in?

The software layers of the AI stack: infrastructure and inference, models and model tooling, data, retrieval and developer tooling, agents, orchestration and workflow, and applications and vertical AI. We watch compute and hardware rather than underwrite them.

Do you need a warm introduction to reach Supra?

No. A short note about what you are building is enough. Every note sent through the site is read and answered either way.

How long does Supra take to make a decision?

Typically two weeks from the first call, and a clear no if it is a no. The first conversation usually happens within a week of reaching out.

What does Supra look for in a founder?

Technical or domain depth, a defensible wedge that is hard to copy, and a market being redrawn by AI rather than incrementally improved by it.

Where is Supra based?

The San Francisco Bay Area. Supra can be reached at [email protected].

Contact

Get in touch

Tell us what you're building, who it's for, and what you've learned that others haven't. We read everything that comes through here and reply either way.

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