Maxim AI

Overview

Maxim AI combines prompt development, agent testing, and production observability for teams building AI applications. It is best suited to product and engineering groups that want to evaluate systems together, with or without code. The main tradeoff is capacity: the free plan has tight limits, while sustained usage requires a per-seat paid plan.

Key features

The prompt IDE lets teams test prompts, models, tools, and context, maintain versions, assemble low-code chains, and deploy prompts without code changes. That connects iteration with deployment rather than treating prompts as isolated drafts; teams looking only for prompt editing may not need the broader platform.

Teams can simulate agents across scenarios and evaluate them with predefined or custom metrics. Evaluation options include LLM-as-a-judge, statistical, programmatic, and human evaluators, plus safety evaluations and human review workflows. Synthetic and custom multimodal datasets support test inputs. Product managers can define and analyze evaluations in the no-code UI, while engineers can use SDKs, a CLI, webhooks, and CI/CD integration. SDKs are available for Python, TypeScript, Java, and Go.

For production systems, workflow traces, live issue debugging, online evaluations, and regression alerts link testing with ongoing monitoring. Integrations include LangChain, LangGraph, OpenAI, OpenAI Agents, LiveKit, Crew AI, Agno, LiteLLM, Anthropic, Bedrock, and Mistral. This breadth is useful for teams already working across those tools, though the value is less clear for projects that need only a narrow evaluation component.

Pricing

The Developer plan is free forever and includes up to 3 seats, 1 workspace, up to 10k logs per month, 3-day data retention, and email support. It also limits teams to 3 datasets with 100 entries each. Those caps make it a practical starting point for small experiments, but the short retention and limited log volume are restrictive for ongoing monitoring.

Professional costs $29 a month, billed monthly, per seat. It allows unlimited seats and up to 3 workspaces, with up to 100k monthly logs, 7-day retention, simulation runs, online evaluations, and email support. It suits teams that need evaluation and monitoring beyond the free caps, but the per-seat charge and one-week retention matter as a team grows.

Business costs $49 a month, billed monthly, per seat. It adds unlimited workspaces, up to 500k monthly logs, 30-day retention, RBAC, PII management, scheduled runs, custom dashboards, and private Slack support. This is the more suitable tier for larger or more operationally mature teams that need access controls and longer history, at a higher per-seat cost.

Enterprise has custom pricing. It includes custom SSO, in-VPC deployments, custom log limits and retention, audit logs, custom SLAs and infosec reviews, advanced compliance, custom BAAs, data isolation, and a dedicated customer success manager. A 14-day trial is available. Developer and Professional include email support; Business includes private Slack support.

Platforms

Maxim is available through an API, web app, and self-hosted deployment. Enterprise customers can use in-VPC deployments. The maker states that the platform is SOC 2 Type II, ISO 27001, HIPAA, and GDPR compliant, which may matter to teams evaluating it for regulated or sensitive workloads.

Who it's for

Maxim fits cross-functional AI teams that want prompt iteration, agent evaluation, and production monitoring in one workflow. Its no-code evaluation UI gives product managers a way to define and analyze tests, while developer tooling supports engineering integration. It is less compelling for individuals or small teams that can work within narrow free quotas, or for buyers seeking only a prompt editor or a standalone benchmark.

Pros and cons

Pros: Prompt experimentation, simulation, evaluation, and production monitoring sit in one platform, helping teams connect development work with live behavior.

Pros: No-code workflows coexist with SDKs, CLI, webhooks, and CI/CD integration, giving product and engineering roles different ways to work.

Pros: Multiple evaluator types, custom metrics, multimodal datasets, and broad integrations support varied evaluation setups.

Cons: The free tier's 10k monthly logs, 3-day retention, single workspace, and small dataset allowance constrain sustained team use.

Cons: Paid plans charge per seat, and even Professional limits retention to 7 days; teams needing longer history must move to Business or negotiate Enterprise terms.

Alternatives

Choose Promptfoo instead if you want a freemium option with a free Community plan that includes 10k red-team probes per month, all LLM evaluation features, and local or self-hosted runs. DeepEval is a free, Apache 2.0-licensed open-source evaluation framework with local and CI/CD test running, a better fit when that framework is the priority. Giskard offers an open-source library, local deployment, and basic LLM vulnerability scanning and RAG evaluation for teams focused on those checks.

Braintrust is another freemium API, self-hosted, and web option; its Starter plan includes 1 GB processed data, 10,000 scores, 14-day retention, unlimited users, projects, and datasets. Galileo is worth comparing for its Pro plan, which costs $100 a month, billed yearly, and includes 50,000 traces per month, standard RBAC, advanced analytics and insights, and dedicated Slack support. Whisper, LiveBench, and SWE-bench are alternatives to consider.

Browse LLM Evaluation Tools, AI Prompt Management Software, AI LLM Observability Tools, AI LLM Evaluation Tools, LLM Observability Tools, and AI Agent Evaluation Tools to compare more options.

Verdict

Choose Maxim if your product and engineering teams need one platform for prompt iteration, agent evaluation, and production monitoring, with both no-code and developer workflows. Look elsewhere if the free plan’s quotas are too small or if you need longer retention without moving to the higher per-seat tier.