Improve

How you can benefit from Collinear's Improve
to fix, align, and enhance responses

Generate high quality training data
- Reduce model training cycles, cost, and time with curated datasets
- Curate high quality synthetic data in custom formats to improve your model

Automate annotation
- Eliminate the need for human annotated or labelled data with using our specialized judges
- Scale coverage by deploying specialized judges for coherence, instruction complexity, naturalness, diversity, and instruction following

Collinear Improve Judges
Evaluates and enhances your model's ability to maintain logical flow and contextual consistency.
Measures how effectively your model handles multi-step instructions and nuanced user requests.
Assesses your model's ability to produce human-like responses with appropriate tone and style.
Tests your model's performance across edge cases and underrepresented scenarios.
Gauges your model's precision in executing specific user directives as requested.

Case Studies
From pioneering startups to global enterprises, see how leading companies are deploying safer, more reliable AI solutions in days with Collinear AI
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Transforming Enterprise AI with Innovation and Safety
91%
of AI-generated responses showed significant improvement

Transforming LATAM Real Estate with AI-Powered Solutions
15% increase
in unique visitor-to-first-visit conversion with Collinear's Custom Sales Agent Judge
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Empowering National AI Innovation: How a Leading Research Lab Achieved Multilingual Model Excellence with Collinear
10k+ model failure modes
proactively identified across languages in pre-production
Learn more about
Assess
Automated red-teaming and vulnerability assessments for real-world scenarios, scaling up to handle extensive model evaluations tailored to your safety needs.

Red-team
One-click adversarial testing across 300+ mapped risks. Built to surface policy breaches and domain-specific failures your team actually cares about, before they become real-world incidents
Improve
Enhance AI responses using prompt optimization influenced by user feedback, alongside synthetic data generation and fine-tuning supported by robust safety metrics and analytics.
Get answers to
common questions
Yes, Collinear AI offers flexible deployment options tailored to meet the security and operational requirements of our customers. Our platform can be deployed on-premise, allowing enterprises full control over their data and compliance with strict data residency regulations. This option ensures that all interactions and data processing occur within the client's own IT environment.
Extremely - you control the target size (from hundreds to tens of thousands of examples), the processing quality and the diversity level (from conservative to highly creative). Plus, you pick which curation dimensions matter most: correctness, coherence, diversity, instruction following, or complexity.
Collinear AI supports extensive customization through our modular AI Judges and Weaver synthetic data platform, which can be tailored to specific industry challenges or operational goals. Our team works closely with clients to understand their unique needs and configures the AI system to integrate seamlessly with existing workflows and systems, providing a truly bespoke AI solution.