Maitai

Enterprise AI platform for reliable, high-performance inference. Fine-tune, evaluate, and monitor production LLMs with confidence.

About Maitai

Maitai makes building reliable AI applications easy. We autocorrect faulty model output in real-time and automatically fine-tune models that learn from their mistakes. This means our customers get more reliable results immediately, and over time, they gain custom models built specifically for their application that only get better and faster. You wouldn’t hire an employee who doesn’t learn from their mistakes—so why use a model that doesn’t? Maitai is here to deliver the next generation of reliable AI inference.

Products

  • Platform Overview

    MLOps & DeploymentFrom $50/month

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    The complete AI lifecycle platform unifying fine-tuning, evaluation, deployment, and live monitoring into one continuous loop.

  • Models & Fine-tuning

    MLOps & DeploymentFrom $50/month

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    Continuous learning and custom hosting for fine-tuned, task-specific models on Maitai's GPU infrastructure.

  • Workflows & Agents

    Agent Development FrameworksFrom $50/month

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    Composed multi-step pipelines and autonomous tool-using agents with monitors, execution traces, and versioning.

  • Monitoring & Observability

    AI Evaluation & ObservabilityFrom $50/month

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    Traces, latency tracking, and live production traffic monitoring for real-time evaluation.

  • Maitai Mojo

    MLOps & DeploymentFrom $50/month

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    A contextual assistant inside the Portal that reads traces, runs tools, composes agents and workflows, curates datasets, builds test sets, and fine-tunes models.

Security and compliance

As reported by Maitai. Ask for audit reports before you buy.

  • SOC 2 Type IICompliant
  • HIPAACompliant
  • GDPRCompliant
  • AES-256 encryption at rest and in transit
  • Continuous monitoring
  • Annual penetration testing
  • Role-based access control (RBAC)
  • Agent ACLs (subagent access control lists)
  • Sentinel guardrails for real-time output monitoring, interception, and correction
  • Signed DPAs (Enterprise plan)
  • On-premise and VPC deployment
  • Air-gapped environment ready
  • Custom data retention policies

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