Maxim AI
Agent evaluation, simulation and observability in one workflow
Overview
Maxim AI tests, simulates and monitors LLM agents in one workspace: a prompt IDE, a simulation engine that runs an agent through scenario libraries, and production tracing. Built by ex-Google/ex-Postman engineers, it ships SDKs for Python, TypeScript, Java and Go.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Up to 3 seats, 1 workspace
- 10k logs/month
- 3-day data retention
- Unlimited seats, 3 workspaces
- 100k logs/month, 7-day retention
- Simulation runs and online evals
- Unlimited workspaces
- 500k logs/month, 30-day retention
- RBAC, PII management, scheduled runs
- Custom SSO, in-VPC deployment
- SOC 2 Type II, ISO 27001, HIPAA, GDPR
- Dedicated CSM and custom SLAs
What you can produce with Maxim AI
- Prompt IDE with versioning
- Agent simulation across scenario libraries
- Pre-built and custom evaluators (AI, programmatic, statistical)
- Production tracing and observability
- SDKs for Python, TypeScript, Java, Go plus CLI
- RBAC and PII management on Business tier
- In-VPC enterprise deployment
ASEAN Perspective
Maxim AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Maxim's pitch is a single loop instead of stitching together three tools: a prompt playground, an agent simulator that runs conversations against synthetic personas, and production tracing that catches regressions before customers do. The simulation piece is the real differentiator — most competitors evaluate single turns, not multi-step agent behavior across scenario libraries.
Founded in 2023 by a Google/Postman team, the company raised a modest $3 million seed from Elevation Capital in 2024, and it shows in the pricing: per-seat billing on Professional and Business tiers can add up fast for larger teams, unlike usage-based rivals. Trustpilot reviewers who switched over from Braintrust cite missing features there as the reason. Worth a serious look for teams running multi-agent products who've outgrown ad hoc eval scripts; budget-conscious solo builders can start on the free Developer tier before committing.
What people say
Maxim launched out of stealth in 2023, founded by Vaibhavi Gangwar and Akshay Deo — both alumni of Google and Postman — and closed a $3 million seed round led by Elevation Capital in June 2024, with angel money from founders at Postman, Chargebee and Razorpay. That pedigree shows up in the product: the prompt IDE and SDK design borrow from developer-tool conventions rather than data-science notebook habits.
The core loop is experiment, simulate, evaluate, observe. Agent simulation is the standout: instead of scoring one prompt-response pair, Maxim runs an agent through a library of scenarios, including adversarial ones, and flags where it breaks down across a multi-turn conversation rather than a single reply. Evaluators come pre-built (RAG faithfulness, toxicity, custom rubrics) or as programmatic checks, and the same evaluators run in CI, in staging simulations, and against live production traffic.
On Trustpilot, review volume is thin but sentiment is positive — one user three months in called the experience "top notch" for evaluating AI agents, and another switched over from Braintrust specifically citing gaps in Braintrust's feature set. There's no meaningful G2 or Capterra footprint yet to cross-check against, which is common for a company this young.
Pricing is per-seat rather than usage-based, which is the most common friction point relative to rivals: $29/seat on Professional and $49/seat on Business adds up quickly for a 15-20 person AI team, versus consumption-based competitors that scale down for lighter usage. The free Developer tier (3 seats, 10k logs/month, 3-day retention) is enough to kick the tires but not to run anything in production.
The company also maintains Bifrost, a separate open-source LLM gateway (Apache 2.0, on GitHub) that's become popular in its own right for its claimed sub-100-microsecond routing overhead — a sign the team ships infrastructure code publicly even though the core Maxim platform itself stays closed-source SaaS.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Maxim AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Maxim AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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