Coming soon: Build Data + AI systems with evidence built in. Preview
A new Mitari product — coming soon

Build Data + AI systems with evidence built in.

Coding agents can produce changes faster than teams can establish whether those changes are valid. Mitari is building a local, agent-compatible development layer that makes intent explicit, connects evidence from the tools you already use, and prepares every change for independent verification.

Built for data pipelines, analytics, machine learning, and AI systems.

How Mitari fits together

A build-with-evidence layer, verified by Fathom

The forthcoming build-with-evidence layer prepares every change with intent, context, and evidence. Fathom — available now — independently verifies that work before it ships.

Mitari — verification infrastructure for Data + AI
Build with evidence Coming soon

People and agents work with explicit intent, durable context, evaluations, and supporting evidence.

Passes the change and evidence forward
Fathom Available now

Independently verifies the change, surrounding logic, and available evidence before it ships.

Verifies Data + AI code independently
The problem

Faster code is not the same as verified work.

A coding agent can generate a pipeline, model, evaluation, or analytical query in minutes. But it may not know the intended data grain, the acceptable source window, the business definition of a metric, the assumptions behind an experiment, or the evidence required before a change should ship.

That context is often scattered across conversations, notebooks, tests, dashboards, monitoring systems, and people’s memories. By the time code reaches review, the reviewer sees the implementation—but not always the original intent or the evidence needed to judge it.

The concept

A development layer for verifiable systems

Make intent explicit

Describe what the system should do, what assumptions it relies on, and which constraints must remain true.

Give agents durable context

Help coding agents work from the same definitions, dependencies, and expectations as the people reviewing their output.

Use the tools you already trust

Connect tests, evaluations, metrics, lineage, monitoring signals, and custom checks rather than replacing your existing stack.

Preserve evidence as work changes

Keep the relevant results and decisions attached to the system from local development through review and operation.

Verify independently

Send the change and its supporting evidence to Fathom for an independent judgment before it ships.

Integrate, don’t replace

Bring your own tools, checks, and evaluations.

Your existing systems already produce valuable signals. The forthcoming Mitari product is being designed to connect those signals—tests, evaluation harnesses, data-quality checks, lineage, metrics, monitoring, and internal controls—into a consistent body of evidence.

Teams should not have to replace their development environment, agent, data platform, or evaluation stack to make their systems more verifiable.

The lifecycle

Evidence that travels with the system

Intent Define what should be true.
Build A person or coding agent creates the change.
Evaluate Tests, harnesses, and existing tools produce evidence.
Fathom verifies Fathom independently judges the change, context, and available evidence.
Ship Approved changes move forward.
Learn Outcomes improve future development and verification.
What it works with

Around your existing toolchain

Designed to work around your existing toolchain—not become another generic agent runtime.

Coding agents Local development environments Git repositories Test frameworks Evaluation harnesses Data-quality systems Lineage and metadata Monitoring and alerting Internal review controls
Relationship to Fathom

Creation and verification should be connected—but independent.

The forthcoming product will help people and agents create and improve systems with structured intent and evidence. Fathom will independently verify their work.

See how Mitari verifies Data + AI code today.

Fathom independently verifies pull requests, repositories, and API-submitted code for silent failures that ordinary tests and general-purpose review can miss.

Explore Fathom Talk to Mitari