What Maxim AI does
Maxim is an agent evaluation and observability platform with experiments, datasets, simulations, human review, traces, dashboards, and prompt management.
Maxim covers the loop from prompt experiments to agent simulation and production observability. It supports custom and managed evaluators, datasets, comparison reports, CI integration, online evaluations, human annotation, traces, and prompt versioning. Its collaboration model is useful when product experts define quality while engineers own instrumentation and releases.
Developer is free for up to three seats with one workspace, 10,000 monthly logs, and three-day retention. Professional is $29 per seat monthly with 100,000 logs and seven-day retention; Business is $49 per seat monthly with 500,000 logs, 30-day retention, RBAC, PII management, and dashboards. Listed paid overages are $1 per 10,000 logs; evaluator model usage and enterprise terms can add cost.
Simulation generates evidence, not certainty. Synthetic users may not represent real goals, and model judges can favor verbose or stylistically similar answers. Trace retention can expose private context and tool arguments. Build expert-reviewed cases, include deterministic outcome and permission checks, mask PII, separate production access, measure judge agreement, and require manual review before an agent gains new tools or autonomy.
How Maxim AI works
Teams connect an agent, model configuration, dataset, prompts, tools, and evaluators, then run single cases, batch experiments, or simulated conversations. Maxim records nested traces, inputs, outputs, token and cost data, applies configured online or offline evaluations, and presents comparison reports or dashboards. Production logs can become datasets and human-review tasks. People define rubrics, validate scores and tool behavior, and approve changes.
How to set up Maxim AI
Write the agent contract
Define supported goals, allowed tools and data, forbidden actions, escalation, success measures, latency, cost, and who can approve behavioral changes.
Connect a safe test environment
Use sandbox accounts and least-privilege credentials, separate production, redact telemetry, and confirm retention and regional requirements.
Build representative datasets
Include common tasks, multi-turn ambiguity, tool failures, adversarial prompts, sensitive data, languages, and human-authored expected outcomes.
Run and calibrate evaluations
Combine deterministic checks, simulations, model judges, and expert annotations; inspect variance, disagreement, trace failures, cost, and latency.
Monitor with release gates
Version prompts and agents, run CI checks, sample production traces, route low-confidence cases to people, and rehearse rollback and deletion.
Maxim AI FAQs
Is Maxim AI free?
Yes. The Developer tier has seat, workspace, log, dataset, and retention limits.
What does a log limit count?
The pricing table refers to logged requests or traces; confirm how nested agent spans and retries are metered for your integration.
Can Maxim test conversations?
Yes. Eligible plans support simulations and agent runs, with capabilities and volume depending on the plan.
Does Maxim provide human evaluation?
It supports human-review workflows, and managed human evaluation is listed for Enterprise arrangements.
Can an online evaluator automatically block an agent?
It can produce a signal, but the application must define safe timeout, block, fallback, escalation, and override behavior.
Listing reviewed 2026-07-31. Product details and pricing can change; verify important terms on the provider's website.
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