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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Flow AI
Flow AI

Flow AI

Founded by Aaro Isosaari in 2025

Build and deploy analytical AI agents directly on top of your existing data products

Pricing model

Free

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Flow AI to construct production-ready analytical AI agents that interact safely with your databases. The system builds a searchable catalog graph of schemas, tables, relationships, and business metrics, allowing agents to understand database contexts without confusing schema quirks. It provides a typed planning framework to let agents draft actions for review before execution. With an embedded runtime for Python or Node applications, developers can evaluate tool trajectories, run regression tests, and monitor agent behavior locally and in production.

What Flow AI does

Profile relational database schemas into structured entity graphsInspect and trace tool execution trajectories during agent chat runsDraft multi-step action plans with explicit manual approval gatesRun automated benchmark evaluations against recorded agent sessionsConvert agent runtime failures into repeatable regression test casesExecute tenant-scoped read-only SQL queries from user promptsSearchable data catalog connecting schemas, joins, formulas, and documentationTyped plan definitions that require human approval before executing sensitive operationsEmbedded native runtime built for Python and Node applicationsFlow AI Studio UI for debugging, live replays, and inspecting agent tracesTrajectory-based automated evaluation suite to catch regression failuresSelf-improving loops that convert agent trace failures into evaluation test casesSupport for self-hosted deployments inside private cloud infrastructure

Pricing breakdown

Pricing model: Free

Frequently asked

SnowflakeSnowflakeBigQueryBigQueryDatabricksDatabricksOpenAIOpenAIAnthropicAnthropicAWSAWSGoogle CloudGoogle Cloud

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Flow AI, flowai-harness, analytical agents, data catalog, AI agents, agent runtime, Snowflake, BigQuery, Databricks, LLM evals, Python runtime, Node runtime, SQL agents, prompt engineering, agent testing