The Happy Path Trap
Tests only verify predicted flows. Real users take unexpected routes and hit unhandled states.
Agentic QA, to Improve Leads Conversion
Your tests pass.
Your SaaS can still
be broken.
AcuteQA explores your application like a real user — learning how it works, uncovering what AI missed while building, and keeping watch as your product evolves.
No more manual testing, it finds what's missed ! What's broken !.
Web Apps· Unlimited projects · MCP-native · Captures what Coding Agents Miss.
Pssst...
there's a gap!
there's a gap!
/ behavior-map / workspace exploring
Loginknown
Create projectmapped
Invite teammatemapped
Saveknown
◕‿◕
hmm...!
Potential gap foundNo test for invite × permission
↳ 37 behaviors discoveredcoverage confidence 82%
green doesn't
mean done ☻
mean done ☻
NEVER LOOSE A LEAD DUE TO MISSED SCENARIO✳AI WILL ACT AS A USER AND EXPLORE THE UNKNOWN✳REMEMBERS THE PRODUCT FEATURES AS IT CHANGES✳QUESTION THE GREEN CHECKMARK✳NEVER LOOSE A LEAD DUE TO MISSED SCENARIO✳AI WILL ACT AS A USER AND EXPLORE THE UNKNOWN✳REMEMBERS THE PRODUCT FEATURES AS IT CHANGES✳QUESTION THE GREEN CHECKMARK✳NEVER LOOSE A LEAD DUE TO MISSED SCENARIO✳AI WILL ACT AS A USER AND EXPLORE THE UNKNOWN✳REMEMBERS THE PRODUCT FEATURES AS IT CHANGES✳QUESTION THE GREEN CHECKMARK✳NEVER LOOSE A LEAD DUE TO MISSED SCENARIO✳AI WILL ACT AS A USER AND EXPLORE THE UNKNOWN✳REMEMBERS THE PRODUCT FEATURES AS IT CHANGES✳QUESTION THE GREEN CHECKMARK✳NEVER LOOSE A LEAD DUE TO MISSED SCENARIO✳AI WILL ACT AS A USER AND EXPLORE THE UNKNOWN✳REMEMBERS THE PRODUCT FEATURES AS IT CHANGES✳QUESTION THE GREEN CHECKMARK✳NEVER LOOSE A LEAD DUE TO MISSED SCENARIO✳AI WILL ACT AS A USER AND EXPLORE THE UNKNOWN✳REMEMBERS THE PRODUCT FEATURES AS IT CHANGES✳QUESTION THE GREEN CHECKMARK✳
01 The uncomfortable bit
No more losing leads to broken flows & unhandled cases.
Tests answer:
“Did our scenarios work?”
They rarely answer:
“What did AI miss?”
“Did our scenarios work?”
They rarely answer:
“What did AI miss?”
You have unit tests, E2E suites, and AI coding agents building features at speed. Yet green test suites still let issues slip into production.
AI Coding Regressions
Coding agents ship features fast, but introduce subtle behavioral regressions that static tests miss.
Invisible Functional Gaps
Passing suites cannot show you broken flows or empty states they were never written to check.
The Leaking Funnel
Uncaught onboarding or checkout bugs silently drop high-intent leads before analytics flag them.
02 Meet your tireless explorer
Don't just automate tests.
Teach AI your product.
AcuteQA builds a living behavioral model — pages, components, journeys, states, dependencies, expected behaviors, and the wobbly bits too.
“Like an AI QA engineer
that remembers your product.”
that remembers your product.”
THE APPLICATION KNOWLEDGE GRAPH
your
productpagesjourneysstatescoverageerrorsbehavior
productpagesjourneysstatescoverageerrorsbehavior
Not a pile of test scripts.
A shared, evolving memory.
03 How curiosity becomes coverage
A test explorer with
a very good memory.
Connect your application
Point AcuteQA at your web app from your existing AI workflow. No testing language to learn.
Let AI wander (productively)
Playwright-powered agents navigate, click, hesitate, retry, and discover pages → actions → states → journeys → dependencies.
Turn trails into a map
Every discovery becomes a structured behavioral model: Login → Dashboard → Create Project → Invite User → Permission → Save.
Send it sniffing for gaps
Double-clicks, dropped networks, partial forms, back buttons, repeat actions — all the questions a crisp happy path avoids.
Flag & surface critical issues
When something is broken or a missed scenario that can affect users is discovered, it is immediately flagged to be handled before impacting production.
04 When a PR lands
Changes don't have to play hide-and-seek.
A new PR changes behavior. AcuteQA compares it to the model and points to the journeys, tests, and assumptions that need a fresh look.
CHANGE SET · #0042needs human eyes
Dashboardbutton behavior changednew
Invite userpermission dependencyaffected
Regression testassertion may be stalereview
Human call:
05 The core loop
Your product changes.
So should QA's memory.
AI discovers⊹
→AI proposes◌
→Human validates☻
→System updates↻
→AI verifies✓
Less rebuilding your suite from scratch. More confidence that it knows what your product knows.
06 Product positioning
Where AcuteQA fits in the landscape:
Agentic exploration & evidence-backed release confidence.
Product-positioning comparison. AcuteQA's column reflects its target differentiation and roadmap position relative to existing market platforms.
| Capability | ★ TARGET POSITIONAcuteQA | Momentic ↗ | mabl ↗ | testRigor ↗ | Katalon ↗ | QA Wolf ↗ |
|---|---|---|---|---|---|---|
| Core approach | Agentic QA co-pilot that plans, executes, explains, and improves tests | Agentic platform for auto-building and maintaining E2E tests | Unified agentic testing platform | Plain-English, no-code test automation | Broad AI quality platform / IDE | Managed testing service plus AI agents |
| Test creation | Requirements → risk-based test plan → executable tests, with human approval | Plain-English E2E test authoring | Requirements/Jira → generated tests | Plain-English and documentation-based generation | AI-generated cases and automation | QA team and agents build tests |
| Autonomous exploration | Make this a differentiator: explore new flows and expose coverage gaps | Learns product context and finds gaps across PRs | Active Coverage maintains tests and finds relevant coverage | Primarily specified test flows | Requirement analysis and generation | Coverage mapping led by QA specialists |
| Self-healing | Explain proposed repair, show evidence, require policy-based approval | Self-healing test specifications | Adaptive healing and mid-run recovery | Lower-maintenance, user-perspective tests | Self-healing locators | Agents maintain generated Playwright code |
| Failure triage | Root-cause hypothesis, impacted journey, reproduction steps, suggested owner | Replays and root-cause analysis | Automated failure classification and analysis | Standard execution reporting | AI failure analysis and reports | Dedicated team provides maintenance |
| Evidence / trust | Differentiator: traceability from requirement → test → run → defect → release decision | Session replays and diagnostics | Quality scores, failure history, and audit-oriented reports | Test execution records | TestOps quality system of record | Service-level coverage and maintenance commitment |
| AI/LLM-app evaluation | First-class: safety, hallucination, retrieval, prompt regression, model/version comparison | Supports automated evals for prompts | Purpose-built AI-app testing and GenAI assertions | Tests chatbot and AI-native app flows | AI-assisted testing across application types | AI-output coverage as a managed service |
| Test surfaces | Start web + API + AI workflows; add mobile as a roadmap item | Web, iOS, Android | Web, mobile, API, AI apps | End-to-end UI, including AI apps | Web, mobile, API, desktop | E2E web testing, with service-led delivery |
| Engineering workflow | Git/PR-native, ticket-aware, CI gates, with a readable QA brief for non-engineers | PR and CI integrated | GitHub/GitLab/Jira/Slack/Teams/MCP integrations | Integrations and TestRail import | CI/CD, Jira, Slack/Teams, MCP | Team-operated service rather than self-serve-first |
| Best-fit buyer | Teams shipping AI features who need governed, explainable release confidence | Fast-moving product and engineering teams | Enterprise QA and engineering organizations | Teams wanting low/no-code English tests | Mixed-skill teams needing broad test coverage | Teams that want QA outcomes without staffing QA automation |
| Clear positioning line | “AcuteQA turns product intent into continuously verified, explainable release confidence.” | “Build, run, maintain” | “Coverage that builds, runs, and fixes itself” | “Plain-English automation” | “AI platform for software quality” | “QA as a service” |
THE STRATEGIC GAP
The differentiator is not merely “AI writes tests” — every competitor is moving there.
AcuteQA stands out through agentic planning plus evidence-backed governance: showing what was tested, what changed, what remains risky, and why a release should or should not proceed.
Market baseline capabilities substantiated by Momentic, mabl, testRigor, and Katalon.
Your tests are outputs.
Your app's behavior is the source of truth.
✦
✳
early access now open
Bring your
curiosity.
Let AcuteQA worry about the weird stuff.
Join early access →Built for developers who don't trust a green checkmark blindly.