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Datacurve

Frontier coding data for training and evaluating LLMs

Y CombinatorWinter 2024ActiveB2B

What they do

Problem

LLM developers lack sufficient expert-quality coding datasets to reliably train and evaluate large language models.

Solution

Datacurve generates expert-quality coding data at scale for fine-tuning and evaluating LLMs.

Who it's for

AI labs and companies building or fine-tuning LLMs and code-focused models.

Founders

Serena Ge

Founder

Started building software in high school - built a climbing training app with Team Canada athletes. Studied at Waterloo CS for a year then dropped out. Worked with the Cohere CTO on LLM reasoning and coding capabilities through synthetic data. Went to YC W24, pivoted 3 times until Datacurve. Now scaling high quality coding data production pipelines at Datacurve to enable next generation coding models

LinkedIn · X

Charley Lee

Founder

Hacking on things since middle school. Went to Waterloo CS, interned at Google, then dove into AI research on multi-modal RL and training browser-use agents. Went through YC W24, pivoted a few times, and landed on Datacurve – now providing the data infrastructure for frontier LLMs.

LinkedIn · X