Startup profile for Deeptune: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Deeptune funding, valuation and investors

RL environment vendor building high-fidelity computer-use training gyms for AI labs (acquired by Mercor, 2026).

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series A

$43M · March 2026

Latest known valuation

Not publicly disclosed

Total disclosed equity funding

$43M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

acquired

acquired · New York, New York

Investors in latest funding

Lead: Andreessen Horowitz

Other: Inspired Capital

Sources: latest funding Last verified: 2026-09-02

Overview

Deeptune built high-fidelity reinforcement-learning training environments — simulated enterprise apps like spreadsheets and Salesforce where AI agents practice real workflows. Raised $43M Series A in March 2026 led by a16z with Inspired Capital, then was acquired by Mercor in July 2026 — team joined NYC to scale RL training environments.

Why Deeptune is interesting

Raised $43M then sold to Mercor within months — RL environment vendors are strategic assets as AI labs need realistic computer-use training data.

Product & use cases

Production-fidelity simulated enterprise UIs where AI agents train on realistic computer-use tasks before deployment.

  • Training computer-use agents on realistic enterprise UIs
  • RL gyms for frontier AI labs
  • Simulated workflows before production agent deployment

Key facts

  • Acquired by Mercor (Jul 2026) — team joined NYC (Mercor blog, Fortune)
  • Series A (Mar 2026): $43M led by a16z; Inspired Capital

Funding history (newest first)

Investors in our directory

Funds linked from Deeptune's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Production-fidelity simulated enterprise apps — not toy benchmarks.

RL environment vendors emerged as AI labs need realistic training data. Acquisition by Mercor consolidates the category.

  • AfterQuery adjacent

    Expert datasets / RL environments for labs; $3.2B reported Sep 2026. Still independent. See /startup/afterquery.

  • Scale AI adjacent

    Data labeling; less app simulation focus.

  • Mechanize direct

    Similar RL environment vendors.

  • OpenAI internal evals adjacent

    Internal benchmarks; Deeptune sold third-party gyms.

Notable stories

  • Deeptune raised $43M in March 2026 then was acquired by Mercor in July 2026 — team joined to scale RL environments (Mercor blog).

Industries

AI & Machine Learning Developer Tools

Related funding articles

Venture Capital Tracker pieces that cover Deeptune's financing or category context.

FAQs about Deeptune

Practical answers founders, operators, and investors typically search for.

High-fidelity RL training environments simulating enterprise apps for AI agent training.
Mercor in July 2026.
a16z (/fund/andreessen-horowitz) led $43M Series A. Inspired Capital (/fund/inspired-capital) participated.
AI agents need realistic simulated workflows before production deployment.
July 2026 by Mercor.
No — acquired by Mercor.
Teaching AI agents to operate software UIs like humans.
New York.
Series A stage.
Scale focuses on data labeling; Deeptune built app simulation environments.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.