Evaluation & testing
India-founded platform combining agent simulation, evaluation and production logging. Teams simulate multi-turn interactions across scenarios and personas, score runs with AI, programmatic or statistical evaluators plus human review pipelines, curate datasets from real interactions, and analyse production logs with distributed tracing.
commercial · generally available · Research snapshot 2026-09-06
Visit the official product source ↗Evaluation & testing · Observability & traceability
Useful conversation with: AI engineering lead, Head of product quality.
Show me a simulation run across several user personas with evaluator scores per version, and the production logs for the same agent.
Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.
Documented by provider
Maxim documents simulating multi-turn interactions across a wide range of scenarios and user personas, scaling testing across thousands of scenarios and test cases, and creating custom simulation environments.
Limit: Does not document how faithfully simulated personas represent real user populations.
Documented by provider
Evaluations can use AI, programmatic or statistical evaluators from an evaluator store or custom evaluators, visualised across versions and test suites, with human evaluation pipelines for last-mile checks and periodic quality checks on production logs.
Limit: No documented immutable record of who approved a release based on those scores.
Documented by provider
The observability suite monitors real-time production logs organised into repositories per application, logged and analysed using distributed tracing.
Limit: Span taxonomy (LLM, tool, agent handoff) is not enumerated on the pages fetched.
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