Datacurve B Verified

RL environment company · Coding

On X
@datacurve ↗
Funding
$17.7M raised · Y Combinator W24 · rounds and investors
Tier
B why
Snapshot

Open environment ↗datacurve.ai

What Datacurve does

Datacurve sells expert-sourced training data for frontier AI labs, including RL environments, long-horizon tasks, agent trajectories, SFT demonstrations, off-the-shelf datasets and benchmarks, with a coding focus.

Leads with
Coding
Based in
San Francisco, USA
Team
26-50

What Datacurve sells

Read from Datacurve's own website, checked October 11, 2026: the line that puts it in each category.

RL environments

Data

  • Datasets

    “Prebuilt datasets, curated for signal, reviewed for quality, and structured to drop into your training stack without translation work.”
    datacurve.ai/products ↗
  • Human data

    “Demonstrations that set the right behavioral prior for models, captured through bespoke tooling that lets experts work naturally”
    datacurve.ai/products ↗

Domains Datacurve covers

Datacurve competitors and alternatives

The companies that sell the most of the same things in the same domains, and what they share with Datacurve.

Every RL environment company on the landscape map →

Tier B

B

Growing: 11 to 50 people, or $3M+ raised.

How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.

  • team 11-50
  • raised $18M
  • investors: Chemistry, Y Combinator, Balaji Srinivasan
  • went through Y Combinator Winter 2024
  • in curated RL directories (5 pts)
How we got to tier B
  1. Adoption: team 11-50; raised $18M; investors: Chemistry, Y Combinator, Balaji Srinivasan; went through Y Combinator Winter 2024. Tier B.
  2. On X: unclear, none buzz No move.
  3. In curated RL directories: 5 points, a floor of C.
  4. Confirmed: a line from its own site or paper places it.

A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.

Datacurve funding

Raised
$17.7Mstated total
Latest round
Series A $15M2025-10 · led by Chemistry
Accelerator
Y Combinator W24

Backed byY Combinator Winter 2024ChemistryMark Goldberg

Rounds

  • Series A · $15M · 2025-10 · led by Chemistry
    the company announced a $15 million Series A round, led by Mark Goldberg at Chemistry with participation from employees at DeepMind, Vercel, Anthropic, and OpenAI.
    1. Read: “the company announced a $15 million Series A round, led by Mark Goldberg at Chemistry with participation from employees at DeepMind, Vercel, Anthropic, and OpenAI.”
    2. Found word for word on a page found by search: techcrunch.com/2025/10/09/datacurve-raises-15-million-to-take-on-scaleai
    3. The quote states the amount and who led it
    4. Also named by 3 other pages read
    techcrunch.com/2025/10/09/datacurve-raises-15-million-to-take-on-scale…
  • Seed · $2.7M
    The Series A comes after a $2.7 million seed round, which drew investment from former Coinbase CTO Balaji Srinivasan.
    1. Read: “The Series A comes after a $2.7 million seed round, which drew investment from former Coinbase CTO Balaji Srinivasan.”
    2. Found word for word on a page found by search: techcrunch.com/2025/10/09/datacurve-raises-15-million-to-take-on-scaleai
    3. The quote states the amount; no lead is named in it
    4. Also named by 3 other pages read
    techcrunch.com/2025/10/09/datacurve-raises-15-million-to-take-on-scale…

Accelerator

  • Y Combinator Winter 2024
    1. Y Combinator's company directory lists Datacurve with the website datacurve.ai, in its Winter 2024 batch
    2. Checkable on YC's page: ycombinator.com/companies/datacurve
    3. 4 pages read also name Y Combinator
    ycombinator.com/companies/datacurve

Funds 2

  • Chemistry led a round

    Named in the round quoted above.

  • Mark Goldberg led a round

    Named in the round quoted above.

Angels 1

Every figure is quoted from its own site, its accelerator or a funding announcement; a round's amount and lead appear only when its quote states them. Startup databases are never used as evidence. Checked 2026-10-11. How funding is checked.

Training methods

Methods Datacurve uses, offers or builds for, with public evidence: its own website says so, or two independent sites do.

  • SFT Supervised Fine-Tuning On its own website

    “…\\ Get in touch - Agent trajectories \\ \\ Full traces of expert execution, including tool calls, checks, pivots, and recoveries, so agents learn the shape of real work, not just the finished answer.\\ \\ Get in touch - Supervised fine-tuning \\ \\ Demonstrations that set the right behavioral prior for models, captured through bespoke tooling that lets experts work naturally while preserving the operating judgment behind the work.\\ \\ Get in touch”

    datacurve.ai

Where Datacurve sits

Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map

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Latest from Datacurve on X

@datacurve ↗

Next: browse all environments. Entry from the RL Research daily scrape of public sources, 2026-11-05 snapshot.