Maitai

What is Maitai?

Maitai is a platform for teams running AI in production. Its SDK captures requests, workflow steps and agent actions, indexes them in the Maitai Portal, and evaluates live traffic against monitors. Failed or low-confidence cases become datasets that can be reviewed by AI, by people or both, then used to fine-tune or distill small task-specific models hosted on dedicated GPUs with an OpenAI-style SDK. Workflows can mix scripted steps with autonomous agents, with step-level tracing, versioning, rollbacks, guardrails called Sentinels and access control lists for subagents. A built-in assistant, Mojo, answers questions about your data and can build datasets or start fine-tunes. Use cases on the site include voice agents and customs classification. The managed cloud is described as pay-as-you-go, and an enterprise option runs inside your own VPC or air-gapped environment; no price list is published.

Use cases

• Monitor production LLM traffic
• Fine-tune task-specific models
• Version AI workflows and agents
• Build datasets from live traces
• Run guardrails on model output
• Deploy voice agents with tool calls

Who it's for

• AI engineers
• Product teams
• Enterprises
• Regulated industries

Why use Maitai

• Turn production mistakes into training data and tests
• Replace large general models with smaller tuned ones for speed
• Release changes with versioning, benchmarks and rollbacks
• Keep data in your own VPC when required

Maitai features

• Indexed traces of requests, steps and actions
• Real-time monitors and offline evals
• Automated dataset curation
• Fine-tuning and distillation pipelines
• Hosted inference on dedicated GPUs
• Workflow versioning with rollbacks
• Sentinels that correct outputs in real time
• Agent access control lists
• Mojo assistant in the Portal
• Bring your own model keys

How to get started with Maitai

1. Add the Maitai SDK and route requests through it.
2. Review indexed traces and live monitor results in the Portal.
3. Curate flagged examples into datasets and test sets.
4. Fine-tune a model or revise a workflow, benchmark it, and promote it to production.

Maitai limitations

• No price list is published, so cost depends on usage or an enterprise agreement
• On-prem deployment is an Enterprise option
• Integration needs the Maitai SDK in your application

Maitai pricing

Maitai has no free plan.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Maitai alternatives

The main Maitai alternatives listed on Debuly are Braintrust, Langfuse, Helicone, Future AGI, Galileo and Confident AI. The table compares pricing and platforms; order is A–Z.

1. 

   Braintrust

   AI observability and evaluation platform for tracing LLM apps and agents, scoring outputs and catching regressions before release.

   Developer platformsCoding
   FreemiumVisit Braintrust (official site)
2. 

   Confident AI

   Evaluation and observability platform for LLM apps, built on the DeepEval framework, with tracing, datasets and regression tests.

   Developer platformsProductivity
   FreemiumVisit Confident AI (official site)
3. 

   Future AGI

   Platform for tracing, evaluating, simulating and guarding LLM apps and AI agents, with a gateway, usage-based billing and a free tier.

   Developer platformsAutomation and agents
   FreemiumVisit Future AGI (official site)
4. 

   Galileo

   AI observability and eval platform that tunes evals to your data and turns them into guardrails for LLM apps and agents.

   Developer platformsAutomation and agents
   FreemiumVisit Galileo (official site)
5. 

   Helicone

   Open-source LLM observability and AI gateway that logs requests, tracks cost and latency, and routes to 100+ models through one API.

   Developer platformsCoding
   FreemiumVisit Helicone (official site)
6. 

   Langfuse

   Open-source LLM observability and evaluation platform for tracing agents, managing prompts and scoring outputs.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Langfuse (official site)

Maitai FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from trymaitai.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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