Train and Evaluate AI
Agents in Simulated Worlds
Collinear simulates thousands of real-world users, tools, and workflows inside sandbox environments, so your agents can fail, learn, and improve before they ever touch production.












agent performance lift
measured on
real-world tasks
simulated environments built
across enterprise and
consumer workflows
environment fidelity
with real-world
products and tools
tokens of training
data generated powering frontier agents in production

Data + environments
for production-ready agents
Train your agents
against the real world
Multi-user environments with realistic tools, workflows and complexity for your agents to explore.

Training data,
not noise
High-signal datasets for post-training, validated against domain-specific
benchmarks.

Domain-specific data pipelines,
at scale
Automated pipelines that generate targeted high-signal data scoped to your domain, your tasks, and your models.


Measurable gains across AI labs and F500 enterprises
$10M+
saved in compute through high quality agent trajectories

96%
F1 score on reliability labels used to curate high signal training data

“Since deploying Collinear, 91% of our AI-generated responses showed significant improvement, leading to faster resolutions and better customer experiences.”


"Collinear’s lab was instrumental in launching MasterClass On Call, our latest product delivering AI-powered wisdom from world’s best pros."


10k+
novel agent failures discovered across multiple languages
15%
higher conversion after optimizing with Collinear's evaluation data and sandbox — La Haus
300+
multi-domain gym tasks where frontier models score <25% pass@16


Better environments.
Better data. Better agents.
See what a thousand rollouts can teach your agent in 30 minutes.









