Solution

High Signal Data for
Evaluation and Post-training

Why Contact Centers Choose Collinear's Solution

Data for Evaluations

Collinear’s multi-turn RL environments simulate realistic user journeys, revealing brittleness and failure modes that traditional benchmarks miss.

Each run yields structured traces with policy-aware scoring and coverage metrics—forming a reproducible foundation for regression testing, capability tracking, and safety analysis.

Data for Post-training

Collinear delivers curated, high-throughput data for post-training across CPT, SFT, and RL, accelerating model improvement by up to 8×.

Our data recipes ensure each data pack is license-verified, difficulty-balanced, and policy-filtered, ready to integrate directly into your training stack.
How it works

From simulation to
improvement in three steps.

Step 1

Simulate

Create multi-turn, auto-generated scenarios that mirror real user journeys and adversarial attacks.

Your Gen AI App

Step 2

Analyze

Run A/B tests and red-teaming to reveal failures and measure performance.
Step 3

Improve

Turn failures into curated evals and fine-tuning data that strengthen your models.
Step 1

Simulate

Create multi-turn, auto-generated scenarios that mirror real user journeys and adversarial attacks.
Step 2

Analyze

Run A/B tests and red-teaming to reveal failures and measure performance.
Step 3

Improve

Turn failures into curated evals and fine-tuning data that strengthen your models.
Outcomes

Better data beats bigger models.

Collinear’s simulation-generated datasets deliver higher signal, faster learning, and consistent gains in accuracy, reasoning, and safety.

Old Way

Manual Data

Millions on human vendors
Months to stand up
Slow delivery, slips and rework
Teams stuck doing QA
Collinear Way

Smarter Data, Better Models

Simulation-driven eval datasets capture realistic, multi-turn interactions.
Curated CPT/SFT corpora and reward data built for signal density, not volume
Continuous data loops replace manual debugging and human annotation
Models show faster convergence, better metrics, and fewer regressions
Testimonials

Customers ship better models faster with Collinear.

See how leading enterprises get to deployment
with confidence, control and trust.

$10M+

saved in compute spend through targeted data curation

- F500 Enterprise Software

96%

F1 score achieved by Collinear reliability judge

“Our partnership with Collinear is already driving business results. 91% of AI-generated responses showed significant improvement, leading to faster resolutions and better customer experiences.”

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

10k+

multi-lingual novel jailbreak modes discovered

- Leading AI Research Lab

15% increase

in unique visitor-to-first-visit conversion with Collinear's Custom Sales Agent Judge

Ship smarter models, not bigger ones.

Collinear generates the high-signal evaluation and post-training datasets that make every release stronger.

FAQs

Get answers to
common questions

Do you support both open-source and closed models?

Yes. Collinear works with any model, whether you're using proprietary APIs, open weight models, or custom fine-tunes.

Do we need to share our model or training data with you?

No. Collinear evaluates outputs, not weights or training sets. You stay in control of your models and data at all times.

Can I bring my own safety policies or evaluation criteria?

Absolutely. You can use our built-in Judges and red-teaming libraries, or customize them with your own rules and risk categories.

How quickly can we see results?

Most teams see clear insights within days, especially with our guided trials and baseline safety assessments.

Can Collinear run on-prem or in a private cloud?

Yes. We support flexible deployment models, including VPC-hosted, air gapped, and fully on-premise setups to meet enterprise security requirements.