Companies / Data vendor
Datacurve
Generates expert-quality coding data for training and evaluating large language models ("Frontier coding data for training and evaluating LLMs"). Recorded here: its published terms for buying data, what it sells, in its own words and 1 funding event.
San Francisco, California, USFounded 2024shipd.aiLatest record 16 Oct 2026
disclosed funding raised
How Datacurve buys data
Shipd, site, 16 Oct 2026- What it wants
- Solved coding and STEM tasks, by engineers in 40+ countries.
- What it publishes about price
- Example bounties in the sample panels on its homepage run from $80 to $220 (read 16 Oct 2026; 2,847 registered contributors on its live counter). The panels show sample issues and challenges, not a rate card: "New quests launch every month across dozens of STEM categories".
- Who it takes
- Engineers anywhere, after vetting.
- How the holder is paid
- Not published.
- Who removes personal data
- Not published.
- What it pays for an introduction
- Nothing published.
We are not Datacurve's agent, partner or representative. If you hold data it might buy, we can put it in front of Datacurve and every other buyer that fits at the same time.
What Datacurve sells
In its own words, read on its own site 15 Oct 2026. On the vendor register
- What it sells
RL environments: “Durable environments for measuring agentic capabilities where real work happens: long horizons, natural instructions, realistic tools, domain-specific judgment, and partial progress.” datacurve.ai
Datasets: “Prebuilt datasets, curated for signal, reviewed for quality, and structured to drop into your training stack without translation work.” datacurve.ai
Expert and human data: “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.” datacurve.ai
Evaluations and benchmarks: “We build benchmarks that capture task-faithful, domain-sensitive lift: progress that shows up in how the model performs, not just how the number moves.” datacurve.ai
Annotation: “We solve the data problem with our gamified annotation platform that attracts the best engineers to come and solve fun coding problems.” ycombinator.com
- Where its data comes from
Made by experts and contractors: “Datacurve provides expert quality code data at scale from highly skilled software engineers.” ycombinator.com
Recorded from people and the real world: “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.” datacurve.ai
- Buys data from owners
- Its programme is set out above.
- Areas its pages name
- Coding, Business work, Security
Funding and acquisitions
- 9 Oct 2025EventSeries AAmount$15M
Cited in this guide
Cite this
AIData.Broker, “Datacurve in the AI training data market”, reviewed 16 Oct 2026. https://www.aidata.markets/companies/datacurve
Free to reuse under CC BY 4.0 if you credit AIData.Broker and link to this page. Each row names the publication that stated it, and words quoted from a source keep that source's own terms.