Maxim AI

Maxim AI is an evaluation and observability platform for teams building LLM applications and AI agents. It combines a prompt playground, multi-turn text and voice agent simulation, automated and human evaluators, and production tracing in one workspace, so engineering and product teams can catch quality regressions before release and monitor agents once they are live.

Maxim AI is a generative-AI quality platform from H3 Labs Inc., founded in 2023 by Vaibhavi Gangwar, who previously worked on Google Assistant, and Akshay Deo, formerly of Postman. It became generally available in June 2024 alongside a $3 million seed round led by Elevation Capital, with angel investors including founders of Postman, Chargebee, Groww, Razorpay and Media.net. The platform covers the agent lifecycle in four parts. Experimentation provides a versioned prompt playground where teams compare prompt, model and parameter combinations on quality, cost and latency, then deploy prompt variants without code changes. Simulation runs AI-driven multi-turn conversations, including voice simulations, against real-world scenarios before release. Evaluation offers an evaluator store of prebuilt metrics plus custom LLM-based, programmatic and human-review evaluators, and runs test suites inside CI/CD pipelines. Observability captures sessions, traces and spans from production, applies online evaluations and custom rules to live logs, and can forward data through connectors to tools such as New Relic and Snowflake. Instrumentation uses Python and TypeScript SDKs, OpenTelemetry (OTLP) ingest, and integrations with LangChain, LangGraph, CrewAI, Pydantic AI, LiteLLM, the Vercel AI SDK, LiveKit and the major model providers. Enterprise customers can deploy inside their own VPC. The company also builds Bifrost, an Apache-2.0 open-source LLM and MCP gateway written in Go, which had about 8,000 GitHub stars in September 2026 and now leads the getmaxim.ai homepage. Maxim competes with Braintrust, LangSmith, Langfuse and Galileo for agent-evaluation budgets.

Category

Developer Tools

Pricing

Freemium, Subscription, Contact for pricing

Target Market

CTOs, AI Engineers, Product Teams, Enterprise Developers

Deployment

Cloud-first, Hybrid

Founded

2023

Headquarters

Mountain View, United States

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  Agent simulation

  Runs AI-driven multi-turn text and voice conversations across realistic, custom-defined scenarios to test agents before release.

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  Evaluator store and custom evaluators

  Prebuilt metrics plus custom LLM-based, programmatic and human evaluators score outputs at scale across prompt and agent versions.

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  Prompt playground and management

  Versioned prompt engineering playground that compares models and parameters on quality, cost and latency, and deploys prompts without code changes.

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  Production observability

  Distributed tracing of sessions, traces and spans, with online evaluations and custom rules to track and debug live issues quickly.

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  Data engine

  Generates synthetic datasets and curates multimodal datasets from production data to keep test suites representative of real usage.

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  CI/CD evaluation pipelines

  Automated evaluation pipelines run inside existing CI/CD workflows, so every prompt or agent change is evaluated before it ships.

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  Bifrost gateway

  Open-source Go gateway routing LLM and MCP traffic across 1,000+ models with failover, budgets, semantic caching and OpenTelemetry.

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  Voice agent QA

  Teams building LiveKit or realtime voice agents run voice simulations and score the conversations before rolling out new prompts.

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  Release gating for prompt changes

  Engineering teams run evaluation suites in CI/CD so a prompt or model swap that lowers quality is caught before deployment.

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  Monitoring customer-facing agents

  Production agent traces are logged and scored with online evaluators, surfacing failing sessions for debugging and human review.

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  Framework-agnostic tracing

  Teams on LangGraph, CrewAI or the Vercel AI SDK instrument agents through SDKs or OpenTelemetry without rebuilding their stack.

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  Multi-provider reliability and cost control

  Platform teams put Bifrost in front of several model providers to get failover, budget limits and a single OpenAI-compatible endpoint.

List pricing is published: a free Developer tier (3 seats, 10k logs a month, 3-day retention), Professional at $29 per seat per month (100k logs, 7-day retention, simulation runs and online evals) and Business at $49 per seat per month (500k logs, 30-day retention, RBAC and PII management), with 14-day trials on both paid tiers. Cost scales with seats and log volume, and retention is short below Enterprise, which is quote-based and carries custom SSO, in-VPC deployment, audit logs and BAAs. The Bifrost gateway is free open source, with a custom-priced enterprise edition.

This page was written from 12 sources, 5 on domains other than getmaxim.ai.

1. 1.getmaxim.ai — getmaxim.aivendor
2. 2.getmaxim.ai — pricingvendor
3. 3.getmaxim.ai — pricingvendor
4. 4.getmaxim.ai — agent simulation evaluationvendor
5. 5.getmaxim.ai — overviewvendor
6. 6.getmaxim.ai — llms.txtvendor
7. 7.getmaxim.ai — announcing maxim ais general availability and the 3m fundingvendor
8. 8.automationtoday.net — maxim nets 3 million funding round to provide standardized e
9. 9.api.github.com — bifrost
10. 10.producthunt.com — maxim ai
11. 11.hn.algolia.com — search
12. 12.latitude.so — best ai agent evaluation platforms 2026 comprehensive compar