The Simulation Lab for AI Teams

Your agents need a world before the real one

Collinear simulates thousands of scenarios with real-world entities, tools, and workflows inside sandboxes, so your agents can fail, learn, and improve before they ever touch production.

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Powering AI teams at

Case Study

40%+

agent performance lift measured on real-world tasks

100+

simulated worlds built across enterprise and consumer workflows

90%

simulation fidelity with real-world products and tools

500B+

tokens of training data generated powering frontier agents in production

The Problem

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 perfect scripts

Real users interrupt, change their mind, and ask ambiguous questions. Synthetic test cases don't capture this.

Intelligence doesn't come from static data

Agents improve through iteration on complex, multi-turn tasks with real feedback. That requires real-world simulations.

Eval infrastructure eats your roadmap

Teams spend 40-50% of eval cycles building and maintaining datasets, not improving agents

Collinear changes that...

...by giving your agents a thousand repetitions before day one.

How It Works

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.

Simulation Lab

Results

Measurable gains across AI labs and F500 enterprises

Used by teams deploying AI agents in high-risk & high-scale simulations.

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

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91%

of AI-generated responses improved

1.9×

Faster model iteration and deployment cycles

8×

Smaller models achieving frontier-level performance

$10M+

Saved in compute through high quality agent trajectories

300+

Multi-domain gym tasks where frontier models score <25% pass@16

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

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FAQ

Frequently asked questions

Discover our features and see why our system is the perfect choice for your project

What types of AI agents can I improve with a Simulation Lab?

Any agent that interacts with users, tools, or workflows. Bring your own model and harness, open-source or closed-source, any framework. Collinear is endpoint-agnostic.

Who is Collinear built for?

Frontier AI labs use Sim Lab to generate RL training data and hillclimb on model performance. AI-native companies use it to iterate on agent quality faster. Enterprise AI teams use it to catch failure modes before production.

Can I use Sim Lab data to train my models?

Yes. Every simulation produces verified, multi-turn trajectories with structured reward signals. Ready for RL, DPO, or supervised fine-tuning. Teams like ServiceNow have used Sim Lab data to achieve frontier performance with 8x smaller models.

How is a Simulation Lab different from running evals?

Static evals test isolated capabilities on fixed datasets. A Simulation Lab runs your agent through multi-turn, multi-tool workflows with realistic simulated users. It also produces training-ready data, so you're not just scoring your agent, you're generating the signal to improve it.

What domains do you support?

Pre-built Sim Labs for 100+ domains across HR, finance, customer service, sales, procurement, and IT support, used by teams at Amazon, ServiceNow, HUMAIN, Zoho, and others. Custom domains available on request.