Curated, high-signal data for AI training and evaluation
Generate high-fidelity datasets proven to accelerate model improvement by up to 8x.
We ship billions of tokens monthly to the top 10 frontier labs for post-training, evaluation, and benchmarking.
We ship billions of tokens monthly to the top 10 frontier labs for post-training, evaluation, and benchmarking.
Trusted by industry experts from
Case study
“91% of AI-generated responses showed significant improvement, leading to faster resolutions and better customer experiences.”
Thiru B
VP & Principal Architect
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
Problem
Why you need better data
Human annotation is slow and expensive.
Real-world data is sensitive, expensive or hard to access, bottleneck model training and fine-tuning cycles.
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 costs.
Generic data can’t capture domain-specific requirements.
Healthcare, finance, legal, and other industry-specific AI systems need data engineered for realism, compliance, and performance validation.
"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."
A huge thank you to my incredible team for making this possible and to our partners Collinear AI for the amazing collaboration."
Solution
High-signal post-training data.
Designed to meet your needs.
Off-the-shelf datasets.
Benchmark validated.
Ready today.
✔ Code
✔ Reasoning
✔ Agentic
✔ Dialogue
✔ Safety & Adversarial Testing
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.
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.
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