Venture studio · Multi-strategy fund

We build and back the AI companies that will still matter in thirty years.

A venture studio and multi-strategy fund from DeVaris Brown and Van Jones. We start companies, back founders, and buy businesses where AI permanently changes the economics.

01 / Partners

An operator and an investor. One firm.

Why Third Letter. DeVaris and LaVandez. The third letter of each name is a capital V.

Portrait of DeVaris Brown

DeVaris Brown

Cofounder

Cofounder and CEO of Meroxa, the real-time data infrastructure company. Previously a product leader at Twitter, Heroku, VSCO, and Zendesk. Angel investor and advisor to dozens of startups.

Portrait of Van Jones

LaVandez “Van” Jones

Cofounder

Venture investor. Deal Lead at Wellington Access Ventures, the early-stage platform of Wellington Management, and previously a Partner at Drive Capital focused on enterprise SaaS and data infrastructure. Cofounded Hello Tractor, an agricultural equipment platform operating across Africa. Chicago Booth MBA.

02 / Thesis

AI is not a sector. It is a change in what a durable company costs to build.

Origination

We meet companies before the round exists.

Both partners build in public. Deal flow comes from founders, operators, and communities we already work alongside.

Structure

The vehicle is chosen last.

Studio, venture, control buyout, or public equity. Whichever fits the company.

Duration

Legacy is a time horizon.

We underwrite to decades, hold through cycles, and measure ourselves on what survives.

03 / Model

One thesis. Four instruments.

The studio builds the tooling. Venture backs the companies using it. Private equity applies it to businesses that already make money. Public markets capture the re-rating.

  1. Studio

    Companies we originate, staff, and spin out.

    We build from problems we have lived as operators, supply the first team, and hold founding equity. Kno is the first.

  2. Venture

    Early rounds in AI-native companies.

    We back founders where a technical wedge can compound into a durable moat, and bring operating experience to the table.

  3. Private Equity

    Profitable businesses we can re-tool.

    Services and software companies whose operating core can be rebuilt with the studio’s tooling. Value comes from margin, not multiple.

  4. Public Markets

    Long-term positions in listed companies.

    Incumbents where AI adoption changes unit economics before it changes the multiple.

04 / From the studio

Kno

Studio company 01

Know which data actually makes your AI better.

Open-source agent data evaluation. Kno measures which documents, examples, policies, and conversations improve an AI agent, and by how much, then ranks each by impact and cost.

  • Open source
  • Apache-2.0
  • Single Go binary
  • v0.1
kno value Illustrative
Asset Impact Decision
new_refund_policy.md +18% keep → knowledge_base
example_42.json +7% keep → context
example_91.json +1% reject
old_refund_policy.md −9% reject → harmful