Enspirit product

Know if your release is safe before you ship it.

AURA produces a Release Confidence Score for every software release. It validates across API, backend state, UI, and data integrity layers. Intent-driven validation, not brittle DOM scripts.

Full-stack
API + UI + state + data
Intent-driven
Not scripted tests
CI/CD native
PR, nightly, staging, release
Self-healing
AI-maintained automation

The problem

Engineering teams ship releases without a reliable, objective signal for whether the release is actually safe. Existing QA automation is script-heavy, UI-brittle, and disconnected from backend correctness. Teams either slow down releases with manual sign-offs or push code and hope.

AURA replaces that uncertainty with a single number: the Release Confidence Score. It combines results from multiple validation layers into an actionable signal that can gate or greenlight a deploy.

How it works

AURA uses intent-driven validation. Instead of recording step-by-step UI flows, tests are defined by what needs to be true (system correctness, data integrity, user outcomes) and AURA's AI orchestration layer figures out how to validate it.

Full-Stack Validation

Tests validate from API and backend state through to UI, not just one layer. Catches issues that surface-level UI tests miss entirely.

Intent Over Scripts

Tests express what is being validated and why it matters, not brittle DOM-dependent click sequences.

AI-Assisted Maintenance

Self-healing locators, AI failure clustering, coverage gap detection, and risk scoring reduce the manual burden of keeping automation working.

CI/CD Native

Built to run in PR smoke tests, nightly regressions, staging validation, and release gates. Not a separate manual step.

Add automation to legacy products in days, not months

Most legacy products run with little or no test automation. Building it from scratch the traditional way takes months of script-by-script work that's out of date by the time it ships. AURA stands up a working automation suite for a legacy product in days. It reads the product, generates intent-driven validation across API, UI, backend state, and data integrity, and runs inside your existing CI. The result is release validation for legacy systems without the multi-quarter test build.

AURA pairs with Rekindle for engagements that need both. Rekindle modernizes the codebase. AURA delivers the validation layer on top. Teams move from no test coverage and resistant-to-change to modernized, automated, and shippable in a defined window.

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Common questions.

A single number that tells you whether a release is safe to ship. AURA produces this score by validating across API behavior, backend state, UI integrity, and data correctness simultaneously. Instead of a manual QA pass or a brittle UI test suite, you get one signal that can gate or greenlight a deploy in CI.
Traditional test automation records step-by-step UI flows. Those scripts break the moment the DOM changes and have no awareness of whether the underlying system is correct. Intent-driven testing defines what needs to be true (a transaction succeeded, the database holds the right state, the user sees the right outcome) and AURA figures out how to validate it. The tests stay readable, survive UI changes, and catch issues that surface-level scripts miss.
Yes. This is the new capability. AURA can stand up a working automation suite for a legacy product in days, not months. It reads the product, generates intent-driven validation across API, UI, backend state, and data integrity, and runs inside your existing CI. For codebases that also need modernization, Rekindle handles the structural work while AURA delivers the validation layer.
Four: API behavior, backend state consistency, UI integrity, and data correctness. Each layer is validated together rather than in isolation, so issues that span layers (a successful API call that corrupts state, a UI that renders correctly while showing stale data) are caught before release rather than after.
AURA is CI/CD native. It runs in PR smoke tests, nightly regressions, staging validation, and release gates. The Release Confidence Score is generated at each stage and can be wired into deploy gates so unsafe releases are blocked automatically. No separate manual step.
Yes. Rekindle brings legacy codebases under AI-native development practices. AURA adds the validation and automation layer on top. Together they take a product from no test coverage and resistant-to-change to modernized, automated, and shippable in a defined window. Many engagements run them as a combined effort rather than sequential phases.

Want to see what a Release Confidence Score looks like for your product?

We'll run AURA against a real release and show you what it finds.

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