Solution

High signal data and environments for evaluation and post-training

Datasets
for evals and post-training

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

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

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.

RL Environments
for training

Collinear Environments are a live world for your models  to act in, with real tasks, tools, roles, and verifiers that mirror production.

Our pre-built sandbox environments of common enterprise software enable you to safely train and evaluate agents on realistic workflows before they touch production.
"Launch of Apriel-1.5-15B-Thinker - ServiceNow's SLM that thinks big. Multimodal reasoner delivering results on par with much larger models like DeepSeek R1m Mistral-medium and Gemini Flash 2.5 - at just one-tenth the size.

A huge thank you to my incredible team for making this possible and to our partners Collinear AI for the amazing collaboration."
VP - Applied Research
ServiceNow
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 and environments
beat bigger models.

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

Old Way

Manual Data

Agents miss reasoning context
Static “golden data” lacks coverage
Models can’t learn nuanced behavior
No alignment to real outcomes
Improvement is slow, reactive, and hard to measure
Collinear Way

Smarter Training, Better Models

Pre built RL environments to  test safely before touching production
Dense, verifiable rewards help agents converge faster on critical, high value tasks
Models show faster convergence, better metrics, and fewer regressions 
Simulation driven eval datasets and RL environments to mirror real enterprise workflows
Curated CPT/SFT corpora and reward data built for signal density, not volume
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 datasets and RL environments 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.