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UPDATED 2026.10.05
rl-list.com · Vendors · Deeptune

Deeptune

Commercial
high confidence
deeptune.com ↗ · Status: acquired (by Mercor, 2026-07-09); operates as the 'Deeptune Environments' team within Mercor confirmed · Founded ~2025 per official Series A blog ('since we started one year ago', Mar 2026); aggregators (Tracxn, CB Insights) and LinkedIn list 2022, conflict, leaning 2025 per primary source

Deeptune was a New York-based startup building managed reinforcement-learning environments ('training gyms') for computer-use and code, where AI agents practice and are evaluated on realistic digital knowledge-work tasks (simulating tools like Slack and Salesforce). It sold these pre-built environments primarily to frontier AI labs and raised a $43M Series A led by a16z (March 2026). In July 2026 it was acquired by Mercor; the team joined Mercor and Deeptune's environment platform now sits under Mercor. It is therefore no longer ranked as an independent vendor.

Key facts
Headquarters
New York, NY, USAconfirmed cite
Headcount band
11-50reported cite
Total raised
$43Mreported cite
Last round
Series A, $43M, announced March 19, 2026 (Crunchbase lists round date Feb 23, 2026)confirmed cite
SOC 2
unknown
What they sell
environmentsconfirmed cite
Open source
noestimated
Deployment
managed-hosted environments ('training gyms'), now sold through Mercor alongside its expert networkreported cite

What's new

4 sourced updates · last 6 months

Founding team

Tim Lupo
Co-founder & CEO (joined Mercor with the team after the July 2026 acquisition)
USC (per LinkedIn). Formerly a founding engineer at Hebbia per the baseline's LinkedIn read; this could not be re-confirmed on the public profile.
Lukas Schmit
Co-founder (reported by the aggregator Tracxn and marked there as a former role; the CTO title is unverified)
unknown

What practitioners should know

For researchers

  • Deeptune has published no papers, benchmarks or open-source releases of its own. The only benchmarks mentioned are third-party targets (OSWorld, Terminal-Bench), cited in a16z's investment post.
  • Environments simulate enterprise apps (Slack, Salesforce, spreadsheets, code) for RL on computer-use and coding agents. Mercor and SiliconANGLE say hundreds of enterprise applications have been recreated (company claim).

For program managers

  • Acquired by Mercor on 2026-07-09, terms undisclosed. Engagement now goes through Mercor, which Fortune reports supplies Anthropic and OpenAI. No source names these labs as Deeptune customers.
  • Continues as the 'Deeptune Environments' team inside Mercor in NYC, and was still hiring Deeptune-specific roles as of 2026-08-10.

For data ops

  • No public docs, API reference, integration format, or security/SOC 2 page was found for Deeptune. Expect Mercor's security and contracting terms to apply after the acquisition.
  • For vendor security review: SiliconANGLE reports that attackers breached Mercor in March 2026 through malware in the open-source LiteLLM library, and that Lapsus$ claimed to hold about 4TB of data, including contractor PII.

Products

Deeptune training gyms (now 'Deeptune Environments' within Mercor) ↗
Managed RL environments ('training gyms') that simulate enterprise software such as Slack, Salesforce, spreadsheets and code. Each comes with problems, datasets and infrastructure for training computer-use and coding agents, and integrates in 'a few lines of code' (company claim). Since July 2026 they are offered through Mercor.launched 2025 (estimated; the Series A post says the company started about one year before March 2026)

Scale & velocity

Current headcount
~20-25 (Fortune: 'roughly 20-person'; LinkedIn snippet: 25)reported cite
Headcount growth
unknown
Open roles
Standalone Ashby board is empty. Hiring now runs under Mercor (e.g. Member of Technical Staff and Strategic Projects Lead, 'Deeptune', posted 2026-08-10, NYC).reported cite
Other locations
India (remote Member of Technical Staff role posted; a job posting, not a confirmed office)reported cite
Distributed / remote
partial, NYC team described as in-person; some remote roles posted (e.g. India)reported cite

Research depth

Has researchers
yesreported cite
Researcher count
unknown
Backgrounds
Team includes engineers/operators from Anthropic, Scale AI, Palantir, Hebbia, Glean, Retool, Modal (per company/press), CEO/co-founder Tim Lupo: ex-Hebbia founding engineer, USC CS & Business, Co-founder/CTO Lukas Schmit (per Crunchbase and press)reported cite
Papers / benchmarks
No own papers/benchmarks published; a16z post references third-party benchmarks OSWorld and Terminal-Bench as targets Deeptune environments help improve (cites Opus 4.6 ~72.7% and GPT-5.4 ~75% on OSWorld)reported cite

Capital

Total raised
~$43M (latest/likely only round). NOTE: value reflects the Series A round; lifetime total is uncertain, aggregators conflict (Tracxn/CB Insights $46.1M, PitchBook $42.2M)reported cite
Last round
Series A, $43M, announced March 19, 2026 (Crunchbase lists round date Feb 23, 2026)confirmed cite
Investors
Andreessen Horowitz (a16z, lead), 776, Abstract Ventures, Inspired Capital, Noam Brown (angel, OpenAI), Brendan Foody (angel, Mercor CEO), Yash Patil (angel, Applied Compute CEO)confirmed cite
Valuation
unknown
Revenue signals
unknown

Security & compliance

SOC 2
unknown
Other certifications
unknown
Security page
unknown

Product

What they sell
environmentsconfirmed cite
Open source
noestimated
License
unknown
Deployment model
managed-hosted environments ('training gyms'), now sold through Mercor alongside its expert networkreported cite
Maturity
acquired; product continues inside Mercorconfirmed cite
Notable customers
⚑Leading/frontier AI labs (unnamed; company claims '100s of gyms' built for frontier research labs) self-claimed cite

Buyer analysis

Best fit: Frontier labs and model teams needing ready-made, managed RL environments for training/evaluating computer-use and coding agents.

How we verified this

2026-10-05 refresh: I opened each source the draft cites. The Mercor blog, Fortune and SiliconANGLE all confirm the 2026-07-09 acquisition, the undisclosed terms, and that the team (SiliconANGLE names CEO Tim Lupo) joined Mercor in New York. Fortune confirms Foody's "main motivation" quote, Mercor's $10B valuation and $2B ARR, and that Anthropic and OpenAI are Mercor's customers, not Deeptune's. Two Mercor postings dated 2026-08-10 confirm the "Deeptune Environments" team inside Mercor. deeptune.com shows a "joining Mercor" notice, and the Ashby board is now empty. The Tim Lupo photo is a valid solo JPEG from Fortune's Series A article. The main correction is Lukas Schmit: no press or primary source names him, Crunchbase returns 403, and Tracxn lists him only as a former co-founder, so the CTO title is not supported. The Futurum note was dropped because it is AI-generated filler. My web-search budget was used up, so I could not run a fresh search for missed items. Spot checks of primary and aggregator pages turned up no new funding, shutdown, or post-acquisition launch in the window, only Tracxn's aggregator headcount of 42 as of 2026-08-31, which I left out as unverified. No papers or benchmarks of Deeptune's own exist.

Related vendors

Sources

  1. www.mercor.com/blog/mercor-to-acquire-deeptune/ · 2026-10-05, Primary: Mercor acquisition announcement, 2026-07-09. Team joins Mercor in NYC, 5M+ expert network, hundreds of enterprise apps recreated 'over two years'
  2. fortune.com/2026/07/09/ai-unicorn-mercor-acquires-deeptune-brendan-foody · 2026-10-05, Deal coverage: terms undisclosed, Foody's angel-check motive, Mercor $10B valuation and $2B ARR (June 2026), Anthropic/OpenAI as Mercor customers
  3. siliconangle.com/2026/07/09/mercor-buys-deeptune-build-training-environm · 2026-10-05, Deal coverage: Tim Lupo joins Mercor, plus context on Mercor's March 2026 LiteLLM breach
  4. jobs.generalcatalyst.com/companies/mercor/jobs/89404711-member-of-techni · 2026-10-05, Mercor MTS posting (2026-08-10) describing 'Deeptune Environments' as a Mercor team, NYC
  5. jobs.generalcatalyst.com/companies/mercor/jobs/89404694-strategic-projec · 2026-10-05, Mercor Strategic Projects Lead, Deeptune posting (2026-08-10): 'an RL environments lab within Mercor'
  6. deeptune.com/ · 2026-10-05, Site still live with a 'Deeptune is joining Mercor' notice; describes training gyms for frontier research labs
  7. jobs.ashbyhq.com/deeptune · 2026-10-05, Standalone jobs board now has no roles listed
  8. fortune.com/2026/03/19/andreessen-horowitz-ai-startups-deeptune-series-a · 2026-10-05, Source page for the Tim Lupo photo (caption: 'Courtesy of Deeptune'); names Lupo as cofounder and CEO
  9. deeptune.com/blog/series-a/ · 2026-10-05, Series A post (2026-03-19); names no founders or customers
  10. a16z.com/announcement/investing-in-deeptune/ · 2026-10-05, Names Tim Lupo as founder and CEO; no other founders
  11. www.linkedin.com/in/timlup/ · 2026-10-05, Tim Lupo public profile: Deeptune, USC, New York
  12. tracxn.com/d/companies/deeptune/__oi3tMd7lIKO3Yo_B0aq6tBQHcjZSfLMnyHdwba · 2026-10-05, Aggregator: Lukas Schmit as 'Co-Founder (Former role)', founded 2022, $46.1M over 2 rounds, 42 employees as of 2026-08-31, acquired by Mercor 2026-07-09
  13. dealroom.co/news/137987-mercor-buys-a16z-backed-deeptune-months-after-fo · 2026-10-05, Aggregator: $46M total and a $31.5M Series A, which conflicts with the $43M from primary sources (not adopted)
  14. futurumgroup.com/insights/mercors-acquisition-of-deeptune-a-strategic-mo · 2026-10-05, AI-generated analyst note (2026-08-06), labelled 'not editorially curated'; context only, not used as a news item
  15. siliconangle.com/2026/03/19/deeptune-raises-43m-accelerate-ai-learning-v · 2026-06-07, Series A coverage; Slack/Salesforce workflow simulation; rollouts and rewards
  16. www.linkedin.com/company/trydeeptune · 2026-06-07, Public snippet: 11-50 / 25 employees, founded 2022 (conflicts with blog), NYC, Research Services, 'Training gyms for AI agents'
  17. x.com/a16z/status/2034694854123692462 · 2026-06-07, a16z: leading RL environments for computer-use and code
Last updated 2026-10-05 · Every quantitative field carries a source and a confidence tag. Fields we could not source publicly are marked unknown, never estimated. See the methodology.