Introduction

What is Collinear AI?

Collinear powers the AI data flywheel through realistic simulations, QA testing, and intelligent data improvement. Start with high-fidelity, realistic user simulations to identify gaps, then seamlessly bridge to targeted data generation for post-training improvement. Collinear’s platform creates a continuous improvement loop: simulate diverse user interactions to stress-test your AI agents for robustness to real world scenarios, identify failure modes through comprehensive QA, and generate high-signal training data to close those gaps. This data flywheel accelerates AI development from evaluation to production-ready systems. Collinear’s core capabilities for the Data Flywheel process include:

Simulate: Generate realistic, multi-turn user interactions with diverse personas and edge cases to stress-test AI agents.
Analyze: Glean insights into enteprise AI across 20+ metrics for Performance, Safety, and Reliability using state-of-the-art judges for scoring against your bespoke policies.
Improve: Generate and filter high-signal semi-synthetic data using our proprietary Judges for targeted model post-training.

This flywheel approach helps you:

Discover real-world failure modes: Simulate diverse user interactions to find edge cases that manual testing would miss.
Scale QA beyond human capacity: Replace manual testing with automated, reproducible simulations that cover thousands of scenarios.
Close the feedback loop: Generate targeted training data based on actual performance gaps, not guesswork.
Accelerate development cycles: Move from evaluation to improvement in days, not months, with data-driven insights.

Simulate

Generate realistic user interactions with diverse personas and edge cases

Analyze

Evaluate AI agents across safety, reliability, and performance criteria

Improve

Generate and filter high-signal training data for post-training

Overview

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Introduction

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Core concepts

Improve

What is Collinear AI?

Simulate

Analyze

Improve