AI-native QA that tests itself — and never stops improving.
Point it at a spec or click through a flow, and AI agents draft a runnable suite in minutes — API, UI, and security together. They run it on every change, heal the tests that drift, and block the release when something breaks.
from an API spec to a running, executable suite
API, UI/E2E and security testing in one platform
drifted tests re-bind themselves, on your terms
gated green or red before your users see it
Why traditional test automation stalls
Test creation is slow and labor-intensive
Comprehensive suites take days or weeks to write. Teams skip negative, edge-case, and security tests under deadline pressure, leaving blind spots that reach production.
Tests break constantly as systems evolve
Endpoints shift, parameters change, behaviors drift. Teams burn much of the week repairing brittle tests instead of building new coverage — accumulating automation debt.
Debugging failures is manual and slow
When a test fails, someone digs through logs, retries, and checks commits for hours. Most tools tell you something broke, not where, when, or how to fix it.
AI agents across the entire test lifecycle
From generation to remediation, specialized agents own each stage of testing — and get sharper with every run.
from an API spec to a running, executable suite
API, UI/E2E and security testing in one platform
Spec-to-suite generation
Import an OpenAPI, GraphQL, or gRPC spec and agents draft a structured, executable suite — functional, negative, and boundary cases, written in parallel.
Record & replay — no code
Click through a flow in the browser and get a runnable UI or end-to-end test, with the API calls it made captured alongside it.
Self-healing tests
When a selector drifts, replay re-binds it by text, role, or aria and pins the fix. Keep suites strict with one toggle — you decide, not a black box.
API drift detection
Diffs spec versions to classify every change as breaking or safe, then narrates the impact and heals the tests it affected.
Security testing built in
Live scanning, code analysis, dependency risk, and secret detection on the same target — real vulnerabilities beside functional bugs, no second vendor.
AI failure triage
Every red run comes with a verdict — app bug, test bug, or environment — plus the evidence and a concrete fix, not a wall of traces.
Simulation & load
Model device fleets and virtual dependencies in plain English, then prove correctness under real load with p50/p95/p99 latency.
Coverage intelligence
See which endpoints and status codes are actually exercised, where the gaps are, and whether a release is ready to ship.
The autonomous QA lifecycle
A continuous loop where specialized agents understand your system, generate coverage, execute intelligently, and learn from every run.
agent phases
manual tuning
autonomous
Capture
Import a spec, record a browser flow, or point at your repo.
Plan
Assess risk, set coverage strategy, and prioritize.
Generate
Draft test cases, multi-step journeys, data, and assertions — in parallel.
Execute
Run on every change, in order, with environments and auth handled.
Analyze
Classify each failure as app bug, test bug, or environment.
Heal
Re-bind drifted selectors, repair affected tests, and file findings to Jira.
Gate
Green ships, red blocks — the release stops before your users see it.
Beyond traditional test automation
Multi-agent intelligence
A coordinated team of specialized agents orchestrates the whole lifecycle — not a single LLM bolted onto scripts.
One tool, not three
API, UI/E2E, and security testing in a single place — sharing environments, findings, and one deploy gate. Replace the stack, not add to it.
Heals on your terms
Auto-heal drifting tests to kill the maintenance grind, or switch it off per project to keep them strict. Powerful by default, never a black box.
API drift detection
Continuous comparison of production behavior against specs catches breaking changes before users do.
Own it, don’t rent it
Managed QA services lock you into per-test contracts and their infrastructure. This is your platform — your tests, your data, your tenancy.
Real root-cause analysis
Turns a red run into an evidence chain — what broke, whether it’s your app or the test, and the concrete step that fixes it.
Every test type, one platform
API & contract testing
01Generate comprehensive suites from specs and catch versioning or backward-compatibility breaks automatically.
Security testing
02Live vulnerability scanning, code analysis, dependency risk, and secret detection — continuous, and no security expert required.
Web & end-to-end journeys
03Record a real browser flow once and get a runnable journey that chains UI steps and the API calls behind them.
Performance & simulation
04Load, latency, and throughput checks plus simulated fleets and failure injection to validate resilience under stress.
More from the solutions
Customer Service
Multi-agent teams triage, contextualize, draft, and act on top of your existing helpdesk — every decision auditable, replayable, and protected by regression gates that stop quality from silently degrading.
Learn moreE-commerce
Multi-agent teams sit on top of your storefront, OMS, and payment stack to answer shoppers, track orders, process returns, and recover carts — every action governed, auditable, and scaled for peak season without adding headcount.
Learn moreHR & People Ops
Multi-agent teams answer policy questions from your own documents, run onboarding and leave workflows, and take action across your HRIS — every response grounded in your policies, auditable, and private by design.
Learn moreTurn QA into a self-sustaining system.
Point it at an API spec and watch a runnable suite appear — then let the agents execute, heal, and gate it on every release.