Maxim AI — End-to-end evaluation and observability platform for GenAI agents. Best for Teams building multi-agent workflows needing simulation and evaluation at scale, Enterprises requiring end-to-end quality assurance from prompt dev to production monitoring, Product managers and developers who want a low-code environment for prompt iteration. Free to start; paid plans from $29/mo.
Teams building multi-agent workflows needing simulation and evaluation at scaleEnterprises requiring end-to-end quality assurance from prompt dev to production monitoringProduct managers and developers who want a low-code environment for prompt iterationOrganizations needing to benchmark LLMs and compare model performance systematically
Not ideal for
Individuals or small teams needing a free or cheap monitoring tool (no transparent pricing)Projects using simple LLM calls that don't require agent simulation or complex evaluationsTeams already deeply integrated with LangSmith or Weights & Biases (migration effort required)Users looking for a lightweight, open-source observability solution
A powerful end-to-end platform for teams serious about AI agent quality. Its agent simulation and observability features stand out, but pricing isn't public — you'll need to contact sales. Best for enterprises already building multi-agent workflows.
Maxim AI positions itself as a one-stop shop for GenAI evaluation and observability, covering the full lifecycle from prompt experimentation to production monitoring. Its standout feature is agent simulation: the ability to test agents across thousands of AI-powered scenarios and personas. This is critical for teams deploying autonomous agents where edge cases are common. The Prompt IDE with no-code deployment is another strong suit, enabling non-engineers to iterate quickly. However, the lack of transparent pricing is a hurdle for small teams — you'll need to book a demo. Compared to LangSmith, Maxim offers deeper agent-specific features like simulation and granular traces; compared to Weights & Biases, it's more focused on production monitoring but less on training experiments. A real-world caveat: migration from existing tools may require effort, as Maxim uses its own SDK. If you're building multi-agent systems end-to-end, Maxim is worth a serious look. For simple LLM calls or startups on a budget, consider lighter options like LangFuse or Helicone.
Skip Maxim AI if Skip Maxim if you are a solo hobbyist who wants a free, unlimited single-prompt testing tool without any evaluation or monitoring overhead.
Latest from Maxim AI
Updated 4 days ago
Across the latest 4 updates: 1 feature update, 1 launch and 2 news mentions.
How likely is Maxim AI to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
60
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About Maxim AI
Maxim AI is an end-to-end evaluation and observability platform designed to help teams ship reliable AI agents faster. It provides a comprehensive suite for experimentation, agent simulation, and production monitoring, enabling developers to iterate on prompts and agents, run evaluations, and deploy with confidence. The platform features a Prompt IDE for rapid iteration across prompts, models, and tools without code changes, agent simulation and evaluation at scale, and granular observability with real-time traces and alerts. Trusted by leading AI teams, Maxim integrates seamlessly with CI/CD workflows and supports framework-agnostic development with SDKs, CLI, and webhooks. It offers a library of pre-built evaluators (LLM-as-judge, statistical, programmatic, human) and native support for custom tools, datasets, and datasources. For teams already using LangSmith or Weights & Biases, Maxim differentiates with its unified experimentation and observability, including agent simulation and a fastest LLM gateway called Bifrost.
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Key Features
Prompt IDE for no-code testing across models and tools
Concrete scenarios for the personas Maxim AI actually fits — and what changes day-one when you adopt it.
ML engineer building a customer support agent
You want to test a new prompt across thousands of edge cases before deploying to production.
Outcome: Use Maxim's simulation engine to generate 10,000 AI-persona-driven conversations, run offline evaluations with pre-built correctness and toxicity scorers, and review a comparison report to approve the prompt. Total time: 2 hours.
QA lead monitoring multi-agent systems in production
You need to catch regressions in real-time as your agents handle live traffic.
Outcome: Set up online evaluations with alerts triggered by quality drops. Use distributed tracing to pinpoint the failing sub-agent. Root-cause and rollback in minutes instead of hours.
Product manager iterating on prompt quality
You want to let your PM team iterate on prompts without writing code.
Outcome: Use the Prompt Playground with versioning and session conflict resolution (Jan 2026 update). Deploy new prompt versions with one click, and compare quality/cost/latency side-by-side.
Run automated regression tests on prompt changes before deploying to production.
Generate synthetic datasets to test model performance on rare or tricky inputs.
Compare quality, cost, and latency across different LLM providers and versions.
Implement quality gates in your CI/CD pipeline using automated online evaluations.
Models Under the Hood
GPT-4oGPT-5.5Claude Opus 4.7Gemini 2.5 ProLlama 3.3 70BMistralproprietary
Limitations
Free plan is limited to 3 seats, 1 workspace, 10k logs/month, and 3-day data retention. Log overages are not allowed on the free plan; on paid plans overages cost $1 per 10k logs. In-VPC deployment and advanced compliance (SOC 2, HIPAA, etc.) require the Enterprise plan. Custom SSO is also Enterprise-only.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Maxim AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Developer
$0/mo
Ideal for
Solo developers or small teams exploring AI agent evaluation with up to 3 seats and 10k logs per month.
What this tier adds
Free entry point with basic prompt playground, up to 3 datasets, and email support — log overages not allowed.
Professional
$29/seat/month
Ideal for
Growing teams that need unlimited seats, simulation runs, online evaluations, and 7-day data retention.
What this tier adds
Adds simulation runs, online evaluations, up to 3 workspaces, 100k logs/month, and 7-day retention over Developer.
Business
$49/seat/month
Ideal for
Businesses that require RBAC, PII management, scheduled runs, and 30-day data retention for compliance.
What this tier adds
Hidden costs & gotchas
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•Log overages on paid plans: $1 per 10k logs beyond included quota.
•In-VPC deployment and advanced compliance (SOC2, HIPAA, GDPR) only available on paid Enterprise plan (custom pricing).
•Custom SSO is Enterprise-only.
•Maximum 3 datasets on free tier; each dataset limited to 100 entries.
Where the pricing makes sense
The company stage and team size where Maxim AI's pricing actually pencils out — and where peers do it cheaper.
For growing teams that need collaborative prompt iteration and production monitoring, Maxim's Professional tier at $29/seat/month is competitive with LangSmith ($0.15/log credit) and Weights & Biases Prompts ($50/month for team). The free Developer tier is best for individual explorers. Business at $49/seat/month adds RBAC and PII management, making it a strong fit for mid-market. Enterprise pricing is custom.
Setup time & first value
How long it actually takes to get something useful out of Maxim AI — broken out by persona, not the marketing-page minute.
Engineers: integrate Maxim via SDK in under 30 minutes to send logs and traces. First evaluations can be run within an hour using the Playground. Team onboarding with RBAC and workspace setup takes about a day. The free Developer plan allows immediate experimentation with no commitment.
Switching to or from Maxim AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
→From LangSmith: Use Maxim's SDK to log traces with similar OpenTelemetry-compatible format; import datasets via CSV or API.
→From custom scripts: Replace your evaluation scripts with Maxim's SDK/CLI for automated evaluations and dashboards.
→From Weights & Biases Prompts: Export prompts and evaluation logs, then use Maxim's bulk import API to migrate historical data.
Migrating out
↗To LangSmith: Export traces and evaluations via Maxim's API, then ingest into LangSmith using its OpenTelemetry or SDK endpoints.
↗To custom monitoring: Use Maxim's API to export logs and evaluation results as CSV/JSON for your own data warehouse.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•2026-03-28: Introduced Maxmallow, a conversational data exploration feature that lets you query logs using natural language.
•2026-01-16: Added collaborative conflict resolution for prompt changes — a merge UI prevents teammates from overwriting each other's work (changelog).
•2025-12-16: Flexible data curation, cost charts, and reasoning column added to prompts and evaluations.
