Maxim

Maxim is an end-to-end AI evaluation and observability platform designed to help teams ship reliable AI agents up to 5x faster. It provides experimentation, simulation, evaluation, automation, last-mile human feedback, analytics, and real-time observability to continuously improve agent quality across complex multi-agent workflows. The platform integrates with existing CI/CD pipelines and supports SDKs, CLI, and webhooks to enable fast, scalable testing and monitoring of AI features from development to production.

How Maxim Works

1. Define experiments and evaluation objectives (metrics, scenarios, tools, and prompts).
2. Run large-scale simulations and real-time interactions to stress-test agents across thousands of scenarios.
3. Measure quality with predefined or custom metrics, and visualize results in dashboards.
4. Integrate results into CI/CD workflows for automated testing and continuous delivery.
5. Monitor live agents with real-time observability, traces, and alerts to detect regressions and optimize performance.

Disclaimer: Maxim is built for enterprise-grade evaluation and observability, enabling robust QA and governance for AI systems.

Core Capabilities

• Experimentation: Rapidly and systematically iterate prompts, models, tools, and context without code changes. Version prompts and manage experiments in a low-code environment.
• Prompt IDE & Versioning: Organize and version prompts outside the codebase; test and iterate across configurations.
• Prompt Chains: Build and test AI workflows in a low-code setup, connecting prompts, tools, and data sources.
• Deployment & Rules: Deploy agents with custom rules with a single click; no code changes required.
• Agent Simulation & Evals: Simulate diverse agent behaviors and evaluate performance at scale using customizable metrics.
• Simulations: Test agents across varied scenarios with AI-powered simulations to cover edge cases and real-world use.
• Evaluations: Measure agent quality with predefined and custom metrics, including benchmark comparisons.
• Automations: Seamlessly integrate evaluations and tests with existing CI/CD pipelines.
• Last-mile Human Evaluation: Streamlined pipelines for human-in-the-loop quality checks when automated signals are insufficient.
• Analytics: Generate reports, track progress across experiments, and share insights with stakeholders.
• Observability: Real-time monitoring of agent performance with continuous quality assurance and optimization.
• Traces: Visualize and analyze complex multi-agent workflows to debug and improve coordination.
• Debugging: Track live issues, diagnose root causes, and resolve quickly.
• Online Evaluations: Measure quality of real-time agent interactions including generations, tool calls, and context retrievals.
• Alerts: Real-time alerts on regressions to enforce safety and quality guarantees.
• Evaluators Library: Access pre-built evaluators and support for custom evaluators (LLM-as-a-judge, statistical, programmatic, or human scorers).
• Tool Definitions & Outputs: Native support for tool definitions and structured outputs; create and experiment with code-based or API-based tools.
• Datasets: Synthetic and custom multimodal datasets with easy import/export and data-curation workflows.
• Datasources: Leverage documents and runtime context sources to create realistic simulation scenarios.
• Agent Development & Frameworks: Framework-agnostic with SDKs, CLI, and webhook support to use Maxim anywhere.
• Enterprise-Grade Features: In-VPC deployment, SSO, SOC 2 Type 2, RBAC, and 24/7 priority support for secure, scalable collaboration.
• Collaboration & Governance: Real-time multi-user collaboration with precise permissions and governance controls.
• Reports & Dashboards: Shareable analytics dashboards to communicate experiment outcomes with stakeholders.

How to Use Maxim

• Connect your AI stack (LLMs, tools, data sources) and define experiments with objectives and configurations.
• Run simulations and live evaluations to gather metrics across thousands of scenarios.
• Review dashboards to compare models, tools, and prompts; export reports for stakeholders.
• Integrate with your CI/CD to automate testing, approvals, and deployment with guardrails.
• Monitor production agents in real time and respond to alerts to maintain quality.

Safety and Implementation Considerations

• Maxim emphasizes enterprise-grade security, governance, and continuous quality monitoring to mitigate risks in AI deployments.

Core Features

• End-to-end experimentation and observability for AI agents
• Low-code prompt engineering, with prompt versioning and chains
• Large-scale simulations and scenario-based evaluations
• Real-time analytics, dashboards, and shareable reports
• CI/CD integrations and automated testing workflows
• Real-time observability, traces, and alerting for production agents
• Library of pre-built evaluators and support for custom evaluators
• Tool and dataset management with code/API-based tool definitions
• Enterprise-grade security: in-VPC deployment, SSO, SOC 2 Type 2, RBAC
• 24/7 priority support and enterprise collaboration features