Agentic testing integrated with your delivery pipeline. NAVIMATE translates defined testing intent into executable API and UI tests, validates them, runs them through the delivery pipeline, and reports results back to the engineering team.
Tests defined as testing intent, not hand-coded specs that drift.
Specs generated and type-checked until they compile and conform.
Both layers generated from one source of truth, not two codebases.
Executes on every change and reports on every run.
NAVIMATE does not replace your test framework — it operates it. Each step runs inside your repos and delivery pipeline, under your controls, with the engineering team owning what counts as done.
Defined testing intent — endpoints, states, fixtures, and user journeys — is captured as the single source of truth for coverage, expressed as requirements rather than hand-coded scripts.
The agent translates that intent into a structured test specification, resolving each requirement into the cases, data, and assertions needed to verify it.
From that one specification, NAVIMATE generates executable API and UI tests — both layers from a single source, kept consistent with each other.
Generated tests run through a type-check-and-retry loop until they compile and conform, so what reaches the pipeline is deterministic rather than unverified output.
Validated tests execute in your delivery pipeline on every change, headless, under a scoped CI identity — regression runs with the build rather than waiting on a person.
Results are returned to the engineering team as unified Allure, HTML, and JSON reports on every run, with the team reviewing and signing off what ships.
Hand-written suites fall behind each release, so regression depends on manual effort and testing becomes the constraint on delivery speed.
NAVIMATE translates defined testing intent into a test specification, generates API and UI tests from it, validates them through a type-check-and-retry loop, and runs them in the pipeline on every change.
Tests run under a scoped CI identity on least-privilege access. Generated code is validated before it executes, and the engineering team reviews and signs off what counts as release-ready. Source and test data stay inside your environment.
NAVIMATE generates and runs regression coverage for Navitas's own platforms inside their delivery pipeline — translating testing intent into executable API and UI tests, running them on every pipeline run, and reporting results back for the engineering team to act on.
NAVIMATE is configured per codebase and organised by where it connects — source control, pipeline execution, test frameworks, reporting, and the AI services behind generation. Validated integrations only.
GitHub, GitLab, Azure Repos.
GitHub Actions, Azure Pipelines, Jenkins.
Playwright — API and UI, headless.
Allure, HTML, and JSON on every run.
Anthropic Claude and Azure OpenAI, swappable by configuration.
An agent that generates and runs tests needs controlled access, validated output, and clear approval points. NAVIMATE operates within defined controls: it is deterministic, traceable, and the engineering team owns what counts as release-ready.
NAVIMATE generates and runs coverage; the engineering team reviews and signs off what ships. It accelerates testing — it does not decide the release.
Every test is type-checked and retried until it conforms, so what runs in the pipeline is verified rather than unchecked output.
Tests run under a scoped CI identity on least-privilege access appropriate to the pipeline — not an anonymous runner.
NAVIMATE runs inside your pipeline under your controls. Source and test data stay within your environment.
We configure and deploy the agent around your systems, workflows, security controls, and operating model. We scope your product surface, build NAVIMATE into your pipeline, and operate it inside your environment.
We map your product surface, repos and delivery pipeline, and the coverage that matters most.
We stand the agent up in your pipeline and configure it to your stack, conventions, and controls.
It goes live generating and running coverage within your pipeline, under your governance controls.
Pricing is set per engagement — against the build and the coverage it maintains. The engineers who build it are the engineers who operate it inside your environment.
NAVIMATE began as the agent that keeps Navitas's own platforms regression-tested inside our delivery pipeline. It proved out in production, so we deploy it for other enterprises, configured to each codebase. That is what Navitas AI Labs does: we build agents that do real work on our own systems, then implement them inside yours.
Pick a product surface where coverage is hard to maintain. We'll stand NAVIMATE up in your pipeline — testing intent in, validated tests out — and agree the path from there.