We are excited to announce that Comet has been included as a Representative Vendor in the Gartner Market Guide for AI Evaluation and Observability Platforms, published February 2, 2026, for our flagship product, Opik.
The Gartner report notes that “AI applications and agents are inherently nondeterministic and opaque. This makes it difficult to measure and improve their reliability, accuracy and trust using traditional testing and observability methods and tools.” As a result, Gartner projects that “by 2028, 60% of software engineering teams will adopt AI evaluation and observability platforms, up from just 18% in 2025.”
Opik gives developers end-to-end visibility into AI application and agent performance, making it possible to log, score, and iterate on individual components and entire workflows throughout development, testing, and production. With LLM traces annotated by subject matter experts and scored at scale with LLM-as-a-judge evaluations, developers spot failures and know exactly where to improve on system prompts, context retrieval, tool calling and orchestration steps, and more — closing that determinism gap between traditional software testing and AI development. Opik’s robust support for multimodal evaluation and optimization, along with built-in AI guardrails for regulatory compliance, make it a popular choice for enterprise teams.
“What’s the difference between evals (for AI applications) and tests (for traditional applications)? Think of tests like checking if a calculator works. Evals are like grading an essay. The former has a single right answer; the latter requires judgment. Evals bring consistency and rigor to making those judgments.” –Gartner
We believe Opik’s inclusion in this Market Guide reflects Comet’s commitment to helping teams move beyond guesswork and bring rigor, transparency, and confidence to AI development at scale.
Gartner, Market Guide for AI Evaluation and Observability Platforms, Manjunath Bhat, Alex Coqueiro, Wilco van Ginkel, 2 February 2026.
Gartner clients can read the report at: https://www.gartner.com/document-reader/document/7387730
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