Your AI agents need a world
before the real one
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.
Powering AI teams at
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
The real world is messy.
Your AI agent has never seen it.
In production, agents interact with real users, call real tools, and navigate complex workflows across multiple turns.
Static evals don't test for this, and they don't produce the training data to fix it.
Users don't
follow scripts
Intelligence doesn't come from static data
Eval infrastructure eats your roadmap
Collinear changes that....
...by giving your agents a thousand repetitions before day one.
What's inside a Simulation Lab
Every simulation lab is a self-contained world where your agent operates, complete with the users, tools, data, and tasks it will face in production.
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.
Stop launch-and-pray AI.
Simulations catch failures before your customers do.