The Bottleneck Isn’t Your Model.
It’s Your Data.

Collinear delivers curated, high-signal datasets for SFT, CPT, and RL,
proven to accelerate convergence by 2×.

We deliver billions of tokens monthly to the top 10 frontier labs,
and are SOTA in coding, reasoning and agentic data.

Try a sample dataset

Trusted by industry experts from

Case study

"Significant differences in cost appear based on the model chosen and the smaller and/or more specialised models (Veritas and Veritas Nano) are an order of magnitude or more cheaper than the general purpose large language models.”

Julian Wiffen

Chief of AI and Data Science

Case study

"Collinear AI’s expertise enabled us to measure our AI Sales Agent’s ability to sell by developing a model based on our conversational data between human agents and customers in just a few weeks. From ideation to execution, they always felt like a part of our team!”

Tomas Uribe

Co-Founder

See customers

Problem

Why you need better data

Human annotation is
slow and expensive.

Labeling large datasets takes time, coordination, and cost, slowing every iteration cycle.

Synthetic data floods training pipelines with noise.

Unfiltered generations add volume without signal, making models memorize instead of learn.

Fine-tuning on junk
data wastes GPU hours.

Low-quality tokens burn compute and stall convergence, driving up your training cost.

"Collinear’s quality judges were instrumental in launching MasterClass On Call, our latest product delivering AI-powered wisdom from world’s best pros. Their Auto-alignment and Knowledge Infusion capabilities helped us deliver exceptional model performance through quick iterative improvements, significantly reducing our time to market while maintaining the excellence our users expect!"

Mandar Bapaye

CTO/CPO

MasterClass

Solution

High-signal post-training data.
‍Designed to meet your needs.

Off-the-shelf datasets.
Benchmark validated.
Ready today.

✔ Code

✔ Reasoning

✔ Agentic

✔ Dialogue
✔ Safety & Alignment
‍

Custom data pipelines.
Built for your domain.
At scale.

✔ Telco networks

✔ Kernel code

✔ Healthcare docs

✔ Retail conversations
✔ Financial reasoning

‍

Case Study

Smaller model.
Bigger results.

ServiceNow launched Apriel-1.5-15B-Thinker, a model that delivers frontier-level reasoning on a single GPU, matching the performance of 8–10× larger models.

Collinear supplied billions of curated coding and reasoning tokens during Apriel’s mid- and post-training stages, enabling frontier performance even without an RL phase.

Our structured filtering improved functional accuracy, diversity of tasks, and coverage across code families, enabling Apriel to reach a LiveCodeBench of 73, on par with DeepSeek-R1-0528, Mistral-Medium-1.2, and Gemini Flash 2.5 at a fraction of their size.

Read the case study