assuregraph

Autonomous quality engineering for high-velocity software teams.

assuregraph turns every code change, product spec and production signal into verified unit, API and UI tests automatically. Eliminate QA bottlenecks, quarantine flaky builds and deliver auditable release proof inside your own cloud perimeter.

Where traditional test suites fall behind

Code-only test generators write passing tests for existing bugs

When a tool only reads the function in front of it, it assumes the implementation is right. If a developer forgot the partial-refund cap, the generated test forgets it too. assuregraph reads the Jira ticket and API spec alongside the diff, checking what the feature was meant to do.

Coverage drifts on the paths that matter

Checkout, login and core workflows change with every release while test suites stay frozen. Manual test authoring rarely keeps pace with release velocity, leaving busy production paths exposed.

Triage is manual and slow

Flaky tests and broken assertions are worked through by hand, one build log at a time. Engineers stop trusting a red build, re-run failed jobs until they pass, and releases slip.

From code or spec change to a ready pull request

  1. Change: commit, pull request, Jira spec, design or log signal
  2. Route: Policy Brain selects an approved model under configured rules
  3. Generate & verify: tests written, executed and checked before review
  4. Smart placement: placed at the fastest test layer that proves the behaviour
  5. Release proof: requirement to test to CI run to human approval

Watches commits, specs and live errors

Connects to GitHub or GitLab, Jira and production logs. Formatting tweaks are ignored; changes to business logic, API contracts or error rates trigger a run.

Picks the right model for the job

Routes across approved LLM endpoints, matching each task to the right model tier so frontier-model budget is never wasted on routine unit tests.

Runs its own work before asking for review

Every candidate test is executed against the build first. Any test that fails to compile, flakes, or misses the requirement is discarded automatically.

Opens a normal pull request

Writes unit tests where unit tests suffice, API tests where contracts matter, and UI tests only when necessary, delivered as a clean PR ready to merge.

Reports change failure rate, mean time to recovery, time to green, flaky reruns and test-suite acceptance out of the box.

What it looks like

Runs

Change failure rate4.1%
Mean time to recovery38 min
Time to green11 min
Flaky reruns6
Suite acceptance91%
RunTriggerTestsResultVerdict
5128PR #482 · refund cap3 generated3 passPR opened
5127nightly2,4182,415 pass · 3 fail2 flaky quarantined · 1 ticket
5126PR #480 · login lockout4 generated3 pass · 1 failheld · regression
5125spec PAY-772 generatedpending codeahead of the code
5124PR #479 · search index6 maintained6 passmerged

Illustrative data. The screens show the product's views with example values, not results from a customer.

What is inside

Coverage Graph

Line coverage is a vanity metric if the busiest checkout path is barely tested. Coverage Graph combines code changes, Jira specs and real production traffic so revenue-critical workflows get tested first.

Policy Brain

Not every diff needs the slowest, most expensive model. Rules for accuracy, speed, budget and data residency are defined once; Policy Brain selects the right approved model for each task and logs the rationale.

Traceability Ledger

Links the Jira requirement to the pull request, the pull request to the tests, the tests to the passing CI run, and the run to the human reviewer. When an auditor or VP asks how a release was verified, the proof is a single link instead of a spreadsheet.

What it handles for an engineering team

  • Spec-aware test generation. Writes new unit, API or UI tests whenever a pull request or Jira requirement lands, verifying what the feature is meant to do rather than just mirroring the code.
  • Self-healing test maintenance. Updates broken or outdated tests automatically when a product or API contract evolves, opening a clean pull request so engineers stop fixing assertions by hand.
  • Flaky-test quarantine & root cause. Spots tests that fail without a relevant code change, isolates the culprit (timing, test ordering or environment) and quarantines them so a red build always means a real bug.
  • Traffic-weighted coverage ranking. Focuses test generation on the production user journeys and endpoints that carry the heaviest live traffic and highest business risk.
  • Instant failure diagnosis. Attaches a clear root-cause summary to red CI runs before an engineer even opens the build log, cutting mean time to recovery.
  • One-click audit & release evidence. Assembles requirement coverage, test execution results and human approvals into one verifiable record for release managers, CISOs and auditors.

Security and deployment

Approved models only

Runs on existing, approved LLM endpoints. Zero code, specs or customer data ever route through an unapproved external model.

Private cloud perimeter

Deploys inside a private cloud VPC or as an isolated single-tenant instance, keeping every artefact inside the security boundary.

Read-only by default

Connects with read-only access to GitHub or GitLab, Jira, CI and log streams. The only write path into a repository is a pull request for human review, with secrets masked throughout.

Full RBAC & audit trail

Role-based access control and a complete governance log covering every model call, generated test, CI run and pull request.

Try it on your own pipeline

assuregraph is in early access. For engineering teams where broken builds and manual test maintenance slow every release, join the waitlist or book a working session with eonai.