The best way to evaluate your LLM products

Ship higher quality products faster with Context.ai

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Build Better LLM Products with Performance Monitoring
Pre-Launch Evaluation

Test your LLM and measure it for accuracy, hallucination, and more.

Product Analytics

Monitor how your product performs with real people, and understand how they're using it.

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Improve LLM response quality with evaluations
Create test cases of representative LLM inputs

Create and run hundreds of simulated user queries through your product.

Evaluate quality on the criteria that matter to you
Assess the generated responses using:
  • LLMs
  • Golden Responses
  • Manual Ratings

Use our pre-built evaluators, or build your own.

Perform comparison across runs

Understand how changes to your product affect test results.

Understand user behavior in production
1. Ingest transcripts in less than 30 minutes

Integrate using our SDKs, or send transcripts directly via the API.

2. Group conversations by topic

Group conversations by semantic meaning, intent, or related keywords.

Context.ai suggests relevant clusters of conversations too, helping you uncover hidden behavior patterns.

3. Identify and resolve poor experiences

Understand why users are having good or bad experiences.

Search and filter by signs of user satisfaction to understand how you can improve their experiences.

Enterprise
Trust and Security for Enterprise
SOC 2 Compliant
Context.ai is SOC 2 Type II compliant, so you can have confidence your data is handled with the highest levels of security.
Self-Hosted Deployment
Context.ai offers a self-hosted option for customers with the strictest data residency requirements.
Hear From Our Customers

The challenge that the scale of AI chat brings is understanding which needle to look for in the haystack.

Context.ai immediately gave me what I needed: Data that I could use to close more sales and insights for engineering to improve the user experience.

Rod Smyth
CEO & Co-Founder at Glyde Talent

Context.ai gives us confidence that changes will perform well before we ship them to production, and then shows their performance with real users - this is incredibly helpful.

Matthew Phillips
CEO & Co-Founder at Superflows

We struggled to gain meaningful insights from the large amounts of data generated by our platform. It was difficult to understand exactly how users were interacting with the system and what they were trying to accomplish.

With Context.ai, we are able to derive more insights into how users interact with our product. This has been huge for understanding our users better, so we can focus on the areas that matter.

Sully Omar
CEO & Co-Founder at Cognosys
Measure & Improve LLM Product Performance.
Before & After Launch.