Coming soon: Build Data + AI systems with evidence built in. Preview
Verification infrastructure for Data + AI

Build systems that can verify themselves.

Fathom catches silent failures in Data + AI code across pull requests, repositories, and API workflows. Coming soon, building with evidence will help people and coding agents work with intent, context, and evidence from the start.

Try Fathom View Sample Verification
Preview what’s coming
Pull Request Verification
Repository Verification
Targeted Fix PRs
API
How Mitari fits together

Two layers, one verification strategy

Mitari is building verification infrastructure for Data + AI development. Fathom verifies changes today. A new layer, coming soon, carries intent and evidence upstream — so Fathom can verify before code ever reaches a pull request, not just after.

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
Proof

See a real Fathom verification

A public repository, a real pull request, and a visible commit — with actual Fathom findings. The query runs without error, but the resulting training data is invalid. Fathom catches what tests and ordinary review let through.

Mitari run report showing critical issues, warnings, opportunities, and the Launch Mitari Agent PR button
View Sample Verification
Customer story

How Paai uses Mitari for partner-discovery verification

Paai uses Mitari as a specialized verification layer for data operations and partner-discovery logic, helping catch subtle filtering and methodological issues during review before they reach production.

Read the customer story
Fathom

Four ways to use Fathom

From pull-request verification to repository-wide analysis, targeted fix branches, and an API for local files — Fathom covers the full verification loop for Data + AI teams.

Pull Request Verification

Catch Data + AI bugs before they merge, as GitHub Checks with inline annotations.

  • GitHub Checks
  • Inline annotations
  • Diff vs existing split

Repository Verification

Map issue patterns across repos and files, clustered by severity and ranked by Fathom score.

  • Repo-level visibility
  • File-level Fathom
  • Watchlist alerts

Targeted Fix PRs

Turn selected findings into targeted fix branches, bounded by semantic and syntax checks.

  • Selected findings
  • Semantic checks
  • Fix-blocked safety

API and Agent Workflows

Call Fathom from scripts, CI, or agentic workflows — submit local files and poll results.

  • Submit local files
  • Poll results
  • API keys · 100/hour
How the verification loop works

Where Fathom fits in the lifecycle

Fathom is the independent verification step in how Data + AI systems get built — from intent through to what teams learn after shipping.

Build with evidence — Coming soon
IntentDefine what should be true.
BuildA person or coding agent creates the change.
EvaluateTests, harnesses, and existing tools produce evidence.
ShipApproved changes move forward.
LearnOutcomes improve future development and verification.
Fathom verifies Fathom independently judges the change, context, and available evidence. Fathom — Available now
Inside the Fathom verification step

Connect a change

Install the GitHub App, select a repository, or submit SQL or Python through the API.

Fathom builds context

Fathom analyzes the change, surrounding logic, and relevant Data + AI failure patterns.

Fathom verifies

Findings explain what may be wrong, why it matters, and what evidence supports the judgment.

Review, fix, and re-verify

Resolve the finding manually or open a targeted fix PR and verify the resulting change again.

Build with evidence — Coming soon

Verification should not begin at the pull request.

Today, Fathom independently verifies changes during review and across existing codebases. Mitari’s next product will bring structure to the surrounding lifecycle—helping people and agents define intent, build with durable context, connect evaluation evidence, and carry what teams learn back into future development.

Together, the two layers connect creation and evidence with independent verification.

Preview what’s coming

Verify your own Data + AI code.

Self-serve sign up takes a minute. Enterprise teams get a tailored onboarding.

Try Fathom View Sample Verification