Pushing frontier capabilities with RL and data.

Our goal is to address the largest capability gaps in frontier coding models. We create challenging realistic environments for RLVR in ambiguous research-heavy fields.

The Synthia authoring platform: a list of environments with QC verdicts, oracle scores and review status
data.synthiaresearch.com, where our experts build and we grade.
Our researchers come from

I.Quality first.

Environments

Quality is our strongest focus. The best data requires the best experts, and the toughest QC in the business decides what ships.

Expert data you can buySynthia environments
Expertsvetted contractorsonly from top companies and top 5 schools
Rewardnot reliably indicative of model performanceverifiable and reproducible: tracks real progress toward a solution, no random or non-deterministic checks
Difficultysome evaluation against frontier modelscalibrated by reward variance to target capability gaps
Quality controlsome quality controlrigorous checks for contamination, provenance, coherence, exploit resistance, etc.
Table 1. Synthia environments against the expert-sourced data a lab can buy today.

II.Research.

Publications

We write up what we learn building environments: which task designs separate frontier models, where reward hacking shows up, and what our QC actually catches.

  • September 2026 · Benchmark

    Goldilocks Bench

    A double-sided benchmark that measures whether coding agents take agency at the right times, in the right situations. 13 models from 7 providers scored, no LLM judges.