Semantic observability for AI agents to help teams fix failures fast
Company is active
Event Year: 2025
Company is active
Event Year: 2025
The Context Company empowers teams to confidently deploy reliable AI agents. AI agents can often fail subtly, exhibiting issues such as incorrect tool selection, infinite loops, or hallucinations. This platform provides developers with precise insights into when and where these failures occur, enabling rapid identification and resolution.
By integrating traditional observability metrics like traces, tool call analysis, latency monitoring, and cost tracking with the ability to detect silent failures that are typically missed by standard monitoring systems, The Context Company offers a comprehensive solution for AI agent debugging and performance optimization. Implementation requires minimal effort, with integration achieved through fewer than 10 lines of code.
The Context Company empowers teams to confidently deploy reliable AI agents. AI agents can often fail subtly, exhibiting issues such as incorrect tool selection, infinite loops, or hallucinations. This platform provides developers with precise insights into when and where these failures occur, enabling rapid identification and resolution.
By integrating traditional observability metrics like traces, tool call analysis, latency monitoring, and cost tracking with the ability to detect silent failures that are typically missed by standard monitoring systems, The Context Company offers a comprehensive solution for AI agent debugging and performance optimization. Implementation requires minimal effort, with integration achieved through fewer than 10 lines of code.
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
Total Raised: Unknown (Y Combinator backed)
Last Round: Fall 2025
B2B
B2B
B2B -> Engineering, Product and Design
B2B -> Engineering, Product and Design
Team size: 2
Hiring: No
Team size: 2
Hiring: No
