QASolveAIYour AI QA engineer
AI QA engineerUnderstands · Plans · Tests · Heals · Reports

The AI QA engineer that tests your entire product.

Describe the release in plain words. It asks the right questions, tests every layer, and tells you exactly what is ready to ship—and what is not.

Watch the agent work Explore every capability
  • Asks before it assumes
  • Traces every requirement
  • Never hides a skipped test
QASolveAI AgentYour AI QA engineer
Plan ready
YouWe launch the new checkout on Friday. Please test everything before we ship.
QA AgentHappy to. Three quick questions before I plan:
  1. Should I test on staging, or on a preview build?
  2. Are both card and UPI payments in scope, with test accounts?
  3. Which accessibility level should I hold the flow to?
YouStaging only. Card and UPI—the test accounts are in the vault. WCAG AA. Don't change real data.
QA AgentGot it—read-only on staging. Here is my plan:
Web journeysAPI & contractsPayment data checksSecurityPerformanceAccessibilityVisualMobile · needs a device
7 areas ready · 1 needs your input · nothing skipped silently
Illustrative conversation—real runs bind to your target, release, and evidence.
capability families
20
included capabilities
167
types of testing
12
test frameworks healed
5
frameworks, standards & integrations
30

Counted from the capability catalog on this page.

What is QASolveAI?

An AI QA engineer, not another test tool.

QASolveAI is a human-like AI QA agent for end-to-end software testing. Like your best QA engineer, it understands the requirement, questions what is unclear, tests every layer of your product in your own environment, and signs off with evidence.

  • Understands your product

    Reads your goal, scenarios, and acceptance criteria, then discovers the pages, forms, APIs, and data behind them.

  • Asks before it assumes

    Flags ambiguity and missing inputs with clear questions—like a senior QA in a kickoff meeting.

  • Thinks end to end

    One test strategy across UI, API, database, mobile, security, performance, accessibility, and visual quality.

  • Tests like a user, an attacker, and an auditor

    Functional journeys, OWASP-mapped security checks, WCAG audits, and indicative compliance views.

  • Fixes tests, never the truth

    Heals broken tests with proof and rollback; a changed price or a new error page stays a failing bug.

  • Reports like a QA lead

    GO, NO-GO, or INPUT REQUIRED—with evidence, bug tickets, and requirement coverage you can act on.

Complete QA in one plan

One agent. Every engine. Nothing left out.

Every release plan considers all twelve testing areas. What applies is tested; what does not is excluded with a reason you can read.

How it works

A day with your AI QA engineer.

The same steps a senior QA follows—understand, question, plan, test, fix, and sign off—done by one agent, in your environment, with evidence at every step.

  1. Step 01 · Understand

    Understands the requirement

    A senior QA
    A senior QA reads the brief and explores the app.
    QASolveAI
    QASolveAI parses your goal and discovers pages, APIs, data stores, and environments.

    You getA scope map of pages, APIs, data, and environments

  2. Step 02 · Clarify

    Asks what is unclear

    A senior QA
    Good testers ask before they assume.
    QASolveAI
    Ambiguity becomes a short list of questions; missing inputs are named, not guessed.

    You getAnswered questions and every missing input, by name

  3. Step 03 · Plan

    Builds the test strategy

    A senior QA
    A QA lead decides what to test and what is out of scope.
    QASolveAI
    Every applicable test type is planned, and every exclusion is visible with its reason.

    You getA test strategy where each exclusion has a reason

  4. Step 04 · Test

    Tests everything that applies

    A senior QA
    The team runs functional, API, security, and performance checks.
    QASolveAI
    One orchestrator runs every engine in your environment, in parallel, with full evidence.

    You getResults with screenshots, traces, logs, and requests

  5. Step 05 · Heal

    Heals tests and re-verifies

    A senior QA
    Testers fix broken scripts and retest the fixes.
    QASolveAI
    Supported breakages are healed and proven twice; real bugs keep failing and get reported.

    You getRepairs proven twice; real bugs still failing

  6. Step 06 · Sign off

    Signs off like a QA lead

    A senior QA
    The lead writes the release recommendation.
    QASolveAI
    GO, NO-GO, or INPUT REQUIRED—with bugs, evidence, and requirement coverage.

    You getA GO, NO-GO, or INPUT REQUIRED decision with evidence

Complete QA, nothing hidden

Nothing slips through silently.

A human QA keeps a checklist in their head. QASolveAI keeps it in writing—every requirement traced to its tests, results, and bugs.

  • Every requirement is tracedEach acceptance criterion links to the tests that cover it, and orphans or conflicts are flagged.
  • Every gap is namedIf something cannot be tested, you see why and the exact input it needs—it never counts as a pass.
  • Explained in plain languageResults come back as a clear release decision, not a wall of logs.
Checkout release · requirement coverage
Illustrative traceability view 1 needs input
  • REQ-01Guest checkout with card18 of 18 tests passed Passed
  • REQ-02Apply a promo code1 failure · bug ticket filed Bug filed
  • REQ-03Saved addresses9 of 9 tests passed Passed
  • REQ-04Refund within 24 hoursNeeds refund test data Needs input
  • REQ-05Checkout with a screen reader12 accessibility checks passed Passed
  • REQ-06Payment page security24 checks, no confirmed finding Passed

Illustrative data. A real run binds each row to your requirements, release, and evidence.

What you can test

Every kind of software testing, planned by one AI agent.

From end-to-end UI tests to API contracts, security scans, load tests, and LLM evaluations—one plan, one evidence model, and one release decision.

  • Playwright
  • Selenium
  • Cypress
  • WebdriverIO
  • Appium
  • OpenAPI
  • GraphQL
  • gRPC
  • WebSocket
  • OWASP Top 10
  • OWASP API Top 10
  • CWE
  • WCAG
  • SARIF 2.1.0
  • JUnit
  • PCI DSS v4.0.1
  • SOC 2
  • ISO 27001
  • HIPAA
  • Jira
  • GitHub
  • GitLab
  • Bitbucket
  • BrowserStack
  • Sauce Labs
  • LambdaTest
  • Slack
  • Microsoft Teams
  • Docker
  • Kubernetes
Complete capability explorer

Every capability, connected to the same QA agent.

Search the full product. Open any card to see included functions, required inputs, evidence state, honest limits, and where to find it in the product.

20capability families
Showing 20 of 20 capability families· Every card shows its inputs and honest limits
Bounded verified
One governed control plane

QA Agent & orchestration

Turn a typed or spoken goal into one cross-domain execution and one explainable result.

OutcomeA single durable workflow instead of a user manually coordinating disconnected tools.
UnderstandPlanExecuteDecideLocal-firstHealing path
Explore 8 included capabilities
Canonical one-click runOne intent, target graph, policy, execution ledger, and final result across applicable domains.
Natural TesterPlain-language intent parsing with structured clarification and scope binding.
Cross-system orchestratorCoordinates domain engines, dependencies, cancellation, retries, leases, and exact result accounting.
Environment SynthesizerBuilds a bounded readiness view of browsers, APIs, data engines, devices, containers, and credentials.
Session Replay TesterReplays retained, privacy-bounded sessions against the exact release and compatible environment.
Release ReadinessReturns GO, NO-GO, or INPUT REQUIRED from fresh, compatible evidence and visible policy gates.
Durable recoveryPersists lifecycle state, idempotency, cancellation, and restart-safe progress rather than losing a run.
Equivalent comparison intakeAccepts externally supplied benchmark packs; leadership remains input required until independent proof exists.
Required inputs

Authorized target, expected outcomes, and any required credentials or risk approvals.

Honest boundary

The agent asks for missing business truth and never labels unavailable work as passed.

Bounded verified
Understand before execution

Discovery, recording & artifact building

Inventory authorized application surfaces, record governed journeys, and package reviewed tests through separate owners.

OutcomeLess setup work without fabricating endpoints, flows, assertions, or coverage.
DiscoverPlanLocal-first
Explore 8 included capabilities
Web surface discoveryBounded credentialless same-origin inventory of observed pages, forms, login pages, API calls, and elements.
API discoveryOpenAPI inspection, collection import, approved traffic observation, and shadow-candidate inventory.
Browser recorderCapture governed user actions, selectors, network context, screenshots, and reusable journeys.
Natural test generationConvert business-language scenarios into structured steps, assertions, data needs, and scope.
Semantic actionsPrefer roles, labels, stable identity, and visible meaning over brittle selector-only scripts.
BDD and code scaffoldsGenerate reviewable Playwright, Cypress, WebdriverIO, Cucumber, API, and language-specific starting points.
Smart test dataCreate bounded synthetic inputs, data-driven variations, edge cases, fixtures, and cleanup expectations.
Mocks and service virtualizationCreate local mock candidates and deterministic dependency behavior with lifecycle control.
Required inputs

Target URL, source/specification/traffic when applicable, authentication profile, and business oracles.

Honest boundary

Generated tests are candidates until their assertions and runtime execution are verified.

Bounded verified
Behavior across real browsers

Web & UI testing

Exercise functional journeys, business state, responsive behavior, browser compatibility, and modern Web protocols.

OutcomeEvidence-backed UI confidence beyond checking whether a page merely loaded.
DiscoverExecuteAnalyzeHealLocal-firstHealing path
Explore 9 included capabilities
Cross-browser runtimeChromium, Firefox, and WebKit execution with viewport, locale, theme, and environment identity.
Functional journeysNavigation, click, type, select, upload, download, dialogs, windows, frames, and ordered workflows.
Business assertionsDOM, URL, network, storage, accessibility, data, and supplied postcondition checks.
Dynamic application handlingWait policies, SPA routes, shadow DOM, frames, popups, streaming UI, and stable readiness evidence.
Forms and edge inputsValidation, boundaries, localization, error states, file flows, and data-driven combinations.
Responsive and layoutBreakpoint, overflow, touch-target, viewport, orientation, and component-state checks.
Exploratory testingSeeded safe action exploration with charters, observations, anomalies, and reproducible evidence.
Web protocolsHTTP, WebSocket, Server-Sent Events, service workers, PWA, SEO, and browser-storage behavior.
Locator self-healingLive equivalent locator selection and exact-scope source repair with repeated proof and rollback.
Required inputs

Target, supported browser matrix, authentication, test data, and expected business postconditions.

Honest boundary

A rendered page is not a passed business journey; assertions remain immutable during healing.

Bounded verified
Heal the tests you already have

Self-healing for existing test suites

Run your existing Playwright, Selenium, Cypress, WebdriverIO, or Appium suite, repair what broke because the app changed, and hand back a verified commit.

OutcomeLess test maintenance without hiding real bugs: product problems keep failing and flaky tests are reported, never edited.
ExecuteAnalyzeHealDecideLocal-firstHealing path
Explore 9 included capabilities
Locators repaired where they are definedRenamed ids, changed text, and moved elements are fixed in the suite's own style—an id stays an id, an XPath stays an XPath.
Run-time-built selectorsTemplate literals, f-strings, concatenation, and values passed into helpers are traced back to the source that builds them.
Changed flowsBlocking popups are dismissed, hidden controls are revealed first, and newly required form steps are added—never with a password.
Conservative expectation updatesOnly small wording changes are updated automatically; an approve mode turns them into reviewable proposals instead.
Product problems stay failingChanged prices, counts, states, error messages, and error pages are reported with evidence instead of being healed away.
Flaky-test detectionA test that fails and then passes with nothing changed is reported as flaky and left untouched.
Proof before a change is keptEach change runs twice in an isolated git worktree, then the whole suite re-runs; anything that breaks a passing test is taken back.
Commits and pull requestsA commit lists every change and what was left failing on purpose, with pull or merge requests on GitHub, GitLab, and Bitbucket.
Sandboxed executionOptional Docker sandbox with dropped capabilities and resource limits; platform keys and tokens are never passed to a suite.
Required inputs

A repository on an allowed host (GitHub, GitLab, Bitbucket), a test environment inside scan scope, and owner authorization.

Honest boundary

Supported: Playwright (TypeScript/JavaScript and Python), Selenium (Python, and Java with Maven), Cypress, WebdriverIO, and Appium through pytest. Not supported: C# or Ruby Selenium, Gradle-built Java, and native Espresso/XCUITest suites.

Bounded verified
Beyond REST happy paths

API, services & contracts

Verify protocols, schemas, authentication, stateful journeys, contracts, resilience, and service behavior.

OutcomeOne evidence model for synchronous, streaming, event, and contract-driven interfaces.
DiscoverExecuteAnalyzeHealLocal-firstHealing path
Explore 9 included capabilities
REST and HTTPCRUD, headers, cookies, redirects, pagination, uploads, webhooks, idempotency, caching, and negative cases.
GraphQLSchema discovery, generated queries, HTTP execution, subscriptions, cost checks, and approved reversible mutations.
gRPCReflection or encrypted descriptors with unary, server-stream, client-stream, and bidirectional transport.
Realtime and messagingWebSocket and AsyncAPI correlation plus configured SOAP, SSE, Kafka, RabbitMQ, JMS, and MQTT adapters.
Contracts and schemasOpenAPI/JSON Schema validation, consumer contracts, API diff, linting, and breaking-change candidates.
AuthenticationBasic, Bearer, API key, OAuth, JWT, HMAC, SigV4, and runtime-only mTLS paths.
Stateful workflowsOrdered journeys, identities, checkpoints, leases, restart recovery, side-effect journal, and compensation.
Fuzz, load, and resilienceAuthorized mutations, bounded load, retry/timeout/circuit-breaker, rate-limit, and pagination behavior.
Route self-healingRepairs bounded stale GET routes from same-origin authoritative OpenAPI evidence; business truth is untouched.
Required inputs

Endpoint/specification, credentials, business rules, mutation policy, fixtures, and cleanup contract.

Honest boundary

Target-specific correctness still requires an authoritative schema and business oracle.

Bounded verified
Read-only by default

Database & cache contracts

Verify data integrity and exact values across supported databases and cache contracts without uncontrolled mutation.

OutcomeReal backend evidence stays tenant-bound, redacted, and tied to immutable oracles.
PlanExecuteAnalyzeLocal-first
Explore 6 included capabilities
SQLiteConfined query-only assertions, integrity checks, redacted plans, encrypted snapshots, and governed migrations.
PostgreSQLRepeatable-read, read-only assertions, catalog checks, redacted plans, and exact accounting.
MySQLRead-only assertions, integrity checks, catalog evidence, and redacted values.
MongoDBAllowlisted filters, majority reads, read-only-role proof, count/value oracles, validators, and indexes.
RedisACL identity, write-denial proof, exact-key existence/type/TTL/value-digest oracles.
Shared data protectionsTenant-encrypted profiles, server-side secret references, target binding, immutable oracles, and cleanup evidence.
Required inputs

Loopback profile, secret reference, allowlisted query/filter/key, and explicit expected result.

Honest boundary

Remote clusters, HA/replication, arbitrary business truth, and performance certification require separate evidence.

Bounded verified
Android and iOS governance

Mobile testing

Test functional behavior, lifecycle, device conditions, artifacts, UI quality, and specialized mobile experiences.

OutcomeOne controlled mobile matrix with honest separation between owned local proof and device/provider inputs.
PlanExecuteAnalyzeHealLocal-firstHealing path
Explore 10 included capabilities
Local automationAppium session pool, Android Emulator, iOS Simulator, install, launch, reset, cleanup, and artifact retention.
Physical and cloud devicesGoverned real-device policy plus optional BrowserStack, Sauce Labs, and LambdaTest adapters.
Gestures and UITap, swipe, pinch, keyboard, edge inputs, windows, rotation, safe areas, localization, RTL, and dark mode.
Lifecycle and reliabilityStart, background, foreground, restart, offline sync, low storage, crash observation, and recovery.
Network conditionsConnectivity profiles, offline/recovery, latency-oriented runs, traffic capture, and routing controls.
Performance and healthStartup, CPU/memory, animation/scroll, battery, thermal, and resource-budget evidence.
Native artifact and releaseAPK/IPA inspection, size budgets, upgrade/migration, age-rating, store, and privacy metadata consistency.
Specialized experiencesFoldables, wearables, widgets, App Clips, CarPlay/Auto, AR/VR/spatial, and media scenarios.
Device integrationsBiometrics, payments, OTP, notifications, links, location, Bluetooth/IoT, haptics, keyboard, and gamepad.
Locator self-healingLive hierarchy selection, exact-release reuse, immutable assertions, and drift-based revocation.
Required inputs

App artifact or package, Emulator/Simulator or device, capabilities, test data, accounts, and business oracle.

Honest boundary

Physical-device-only signals and live cloud runs remain input required until matching hardware or credentials exist.

Bounded verified
Evidence-gated assurance

Security testing

Combine Web/API dynamic checks, source and supply-chain analysis, platform security, proof validation, and compliance evidence.

OutcomeA scan states what ran, what was conclusive, and what could not run—never a false clean badge.
DiscoverPlanExecuteAnalyzeLocal-first
Explore 14 included capabilities
92-check implementation registryFormal owned-corpus mapping with source, applicability, execution, and evidence binding.
Web and API DASTInjection, auth/session, access control, browser, parser, transport, abuse, logic, and sensitive-data checks.
Authenticated scanningBasic, Bearer, API key, OAuth, HMAC, SigV4, custom header/query, and runtime-only mTLS with negative controls.
SAST, secrets, and dependenciesMulti-language analyzer inventory, custom rules, hardcoded secrets, SCA, SBOM, licenses, and manifests.
Cloud-native securityIAM, storage, metadata, serverless, container, Kubernetes, and network-service candidates with exact inputs.
Mobile and AI securityAPK/API/WebView/device/OS evidence plus prompt injection, agent boundary, and LLM red-team adapters.
Proof and OASTBlind-callback candidates, exploit confirmation controls, proof validation, and explicit inconclusive outcomes.
Attack-path correlationEvidence-backed occurrences, deduplication, kill chains, affected assets, risk context, and scan diffs.
Standards evidenceOWASP/CWE and GDPR, HIPAA, PCI DSS, SOC 2 review mappings—never presented as certification.
Security operationsHTML/PDF/JSON/executive outputs, SIEM formats, trends, schedules, custom templates, and review-only remediation.
CI/CD security gateSARIF 2.1.0 and JUnit output, new-finding severity thresholds, target-bound baselines, and fail-closed exits for blocked or incomplete scans.
Developer ticketsRedacted, de-duplicated Jira and GitHub issues from tracked findings, linked to the audit trail without marking anything fixed.
Compliance requirement matrixIndicative PCI DSS v4.0.1, SOC 2, ISO 27001:2022, and HIPAA requirement views: findings, no findings observed, or not assessed.
Authenticated browser discoveryOwner- and origin-bound browser sessions with positive session proof around every crawled page, or no inventory at all.
Required inputs

Owned target and authorization; source, manifests, image, credentials, callbacks, or cluster access for applicable checks.

Honest boundary

92 registered implementations and standards mappings are bounded inventory/evidence—not universal detection or certification.

Bounded verified
Exact boundaries, not vanity numbers

Performance, load & reliability

Measure browser journeys, API load, stress, soak, capacity, field telemetry, network conditions, and recovery.

OutcomeTarget-, release-, environment-, and budget-scoped performance evidence with safe stop conditions.
PlanExecuteAnalyzeHealLocal-firstHealing path
Explore 9 included capabilities
Browser performanceLocal browser lab, Web Vitals budgets, journey timings, rendering signals, and release comparisons.
HTTP/API loadVirtual users, bounded smoke/stress profiles, exact requests, failures, latency, throughput, and cancellation.
Stress and observed capacityBudget breach at higher load plus two clean lower-bound replays tied to one environment.
Soak testingSegmented long-running load, minimum representative duration, service-budget stops, and cleanup.
RUM and canaryPrivacy-minimized first-party telemetry and explicitly authorized read-only production observations.
Regression and RCACompatible historical comparisons, traces, flame graphs, memory/resource signals, and evidence-only diagnosis.
Distributed and cloud-native loadBounded worker coordination plus optional k6, Locust, JMeter, Kubernetes, serverless, and mesh adapters.
Network and mobile performanceLatency, loss, jitter, bandwidth, offline behavior, startup, frames, battery, and device resources.
Safe performance recoveryAllowlisted transient replay and bounded image-dimension repair with two after-proofs and rollback.
Required inputs

Authorized target, load budget, journey, comparable baseline, resource ceilings, and telemetry when needed.

Honest boundary

Synthetic observations are not absolute production capacity; field and device claims need representative evidence.

Bounded verified
Automation plus real interaction

Accessibility testing

Combine automated WCAG-oriented rules, keyboard journeys, widget behavior, assistive-technology evidence contracts, and safe repair.

OutcomeAutomated findings and human/AT review gaps stay separate, so conformance is never invented.
ExecuteAnalyzeHealLocal-firstHealing path
Explore 7 included capabilities
Automated rule auditLocal browser plus axe-based WCAG-oriented evidence, including explicit incomplete and review states.
Sequential focusReal Tab/Shift+Tab order, reachability, visibility, positive tabindex, and obscuration checks.
Composite widgetsKeyboard journeys for tabs, radiogroups, menus, listboxes, and safe cancel behavior.
Combobox familiesSelect-only, editable list, grid, tree, and dialog-popup interaction evidence.
Assistive-technology bridgePinned VoiceOver, NVDA, JAWS, and TalkBack evidence-contract verification for configured matrices.
Independent evidence packsSeparately signed ACT/WCAG pack and run verification without treating owned evidence as independent.
Accessibility repairSource-grounded static HTML repair with fresh browser/axe proof, exact Git scope, and rollback.
Required inputs

Target, page states, authentication, supported widgets, and a configured AT matrix for real assistive-technology evidence.

Honest boundary

Axe and keyboard evidence do not prove complete WCAG conformance; external AT runs remain input required.

Bounded verified
Reference-bound rendering truth

Visual & design quality

Compare approved references across exact browser environments, govern baselines, stabilize bounded dynamic regions, and explain changes.

OutcomeRelative visual evidence without silently approving a new design or calling aesthetic judgment universal truth.
ExecuteAnalyzeHealLocal-firstHealing path
Explore 7 included capabilities
Visual regressionStrict, layout, content, and bounded-mask comparison with exact change localization.
Baseline lifecycleEncrypted references, unreviewed first observation, approval/rejection, versioning, and rollback.
Dynamic-region stabilizationLearns bounded non-interactive variation and revalidates live identity and geometry.
Rendering matrixBrowser binary/version, OS, architecture, fonts, GPU/WebGL, viewport, DPR, locale, and theme provenance.
Signed reference packsOwner-signed project references and independently signed pack/run verification contracts.
UX Quality ScorerTwenty bounded browser predicates with N/A and inconclusive outcomes—not a universal usability score.
Aesthetic AI and RCACalibrated supplied human-label estimates, uncertainty/OOD disclosure, DOM/CSS diagnosis, and review.
Required inputs

Approved reference or first observation, scope, viewport, locale, theme, fonts, and rendering environment.

Honest boundary

Visual match means conformance to a supplied reference, not design correctness or user satisfaction.

Bounded verified
Authorized fault, proven rollback

Chaos & resilience

Plan and execute narrowly scoped faults, observe recovery objectives, stop asynchronously, and prove cleanup separately.

OutcomeResilience experiments with a visible blast radius instead of uncontrolled disruption.
PlanExecuteAnalyzeLocal-first
Explore 7 included capabilities
Dry-run planningValidate target identity, blast radius, probes, objectives, conflicts, authorization, and rollback before dispatch.
Container and pod terminationExecute exact opted-in Docker or configured local Kubernetes termination contracts.
Network partitionRemove and restore exact Docker network membership with evidence and asynchronous Stop.
CPU quota faultApply and restore an exact Docker CPU quota with lifecycle and cleanup evidence.
Target leasesPrevent conflicting experiments from acting on the same exact target.
Recovery objectivesSeparate fault applied, service response, recovery observed, cleanup verified, and uncertainty.
Encrypted historyRetain tenant-scoped, redacted plans, approvals, run evidence, cancellation, and cleanup status.
Required inputs

Exact opted-in target, fault, blast radius, steady-state probes, recovery objective, approval, and cleanup policy.

Honest boundary

Broader latency, loss, corruption, disk, memory, richer Kubernetes, and multi-region faults stay lab/input-bound.

Bounded verified
Two-way, consent-aware control

Voice & conversational testing

Plan, confirm, authorize, query, interrupt, and cancel testing through a local-first conversational control plane.

OutcomeHands-free QA orchestration without letting speech bypass safety or inventing audio accuracy.
UnderstandPlanExecuteDecideLocal-first
Explore 9 included capabilities
Two-way QA assistantText or voice planning, confirmation, scoped authorization, progress, explanation, and safe cancellation.
Local browser audio16 kHz mono PCM worklet capture, ordered chunk binding, local playback, and transient retention.
Barge-inInterrupt active playback and bind cancellation to the exact pending or running task.
Multilingual local STTBounded MLX execution on owned synthetic en-US, en-IN, and hi-IN controls.
WER/CER accountingDeterministic word and character error measurements on declared audio corpora.
Privacy controlsTenant isolation, digest-bound chunks, deletion, redacted history, and no default raw-audio retention.
Conversational bot scriptsTurn/assertion testing with safe regular expressions and optional calibrated semantic evaluation.
Specialist voice adaptersSTT/TTS, pronunciation, noise, prosody, emotion, diarization, IVR/SIP, load, speaker, and clone/deepfake inventory.
Phone-call testingOptional provider adapter for consented real call start, status, recording, and evidence workflows.
Required inputs

Browser microphone permission for live audio; configured corpus/provider for specialist speech or phone-call evaluation.

Honest boundary

Control intent accuracy and audio recognition accuracy are measured separately; phone calls are optional and consent-bound.

Available with inputs
Evaluator provenance included

AI & LLM system testing

Test safety, grounding, privacy, consistency, tools, agent coordination, adversarial behavior, drift, latency, and cost.

OutcomeVersioned AI evaluation that distinguishes a measured result from an uncalibrated model opinion.
PlanExecuteAnalyzeLocal-first
Explore 8 included capabilities
Prompt and agent securityPrompt injection, tool boundary, authorization, indirect input, and adversarial agent scenarios.
Harmful content and privacyToxicity, harmful-content, refusal, policy, secret, and PII-oriented checks against declared datasets.
Grounding and RAGCitation, source support, retrieval relevance, and unsupported-claim verification against supplied truth.
Consistency and sycophancyMulti-turn persistence, answer stability, contradiction, user-pressure, and release comparison scenarios.
Function and tool callingSchema, arguments, authorization, tool choice, side effects, and returned-result validation.
Multi-agent behaviorCoordination, handoff, role boundary, delegation, loop, failure recovery, and exact task outcomes.
Red teaming and real tasksAuthorized adversarial suites and business-task completion using versioned scenarios.
Model drift, latency, and costCompatible behavior comparison, TTFT/TPOT, token observations, budgets, and trends.
Required inputs

Endpoint/model, credentials, versioned scenarios, policy, sources, business oracle, and any evaluator calibration set.

Honest boundary

LLM-as-judge is optional and never ground truth without supplied calibration and provenance.

Bounded verified
Prioritize from evidence

Test intelligence & optimization

Analyze suite health, change impact, risk, requirements, learned behavior, human-like interaction, capacity, debt, and ROI ranges.

OutcomeSmarter planning without silently deleting tests, weakening protections, or fabricating savings.
UnderstandPlanAnalyzeDecideLocal-first
Explore 8 included capabilities
Autonomous Test ManagerSuite health, dependency, mixed-outcome flakiness, and dry-run lifecycle proposals with no silent deletion.
Suite optimizerConstraint-preserving selection, dependency stages, parallel shards, budgets, protected tests, and reversible activation.
Impact and riskMap supplied changes and dependencies to affected tests, review candidates, and evidence-ranked priority.
Requirement tracerImmutable requirement/test versions, criterion links, conflicts, orphans, and review-only semantic candidates.
Predictive generatorPropose test scaffolds from bounded change-risk evidence; generation and execution proof remain distinct.
Production behavior learnerCreate privacy-reduced flow candidates from consented aggregates with revoke and drift controls.
Human behavior simulatorSeeded pointer, typing, and scroll plans plus comparison to supplied aggregate distributions.
Debt, ROI, and capacityProvenance-linked suite debt, cost ranges, nullable projections, queues, resource forecasts, and schedules.
Required inputs

Comparable history, source/change graph, requirements, execution costs, defects, risks, and supplied business values as applicable.

Honest boundary

Recommendations remain advisory until selected, executed, and validated; optimization is constrained rather than globally optimal.

Available with inputs
Lifecycle around every engine

Test management & collaboration

Organize cases, plans, runs, schedules, dependencies, teams, milestones, exploratory sessions, notifications, and reusable knowledge.

OutcomeThe autonomous engines remain connected to ownership, review, audit, and release work.
PlanExecuteDecideLocal-first
Explore 8 included capabilities
Cases, suites, plans, and runsCreate, organize, version, baseline, compare, tag, group, assign, and retain evidence links.
Scheduling and monitorsCron-style and policy-driven schedules, retries, health monitors, and governed recurring execution.
Dependencies and orderingDependency graphs, topological stages, barriers, parallel shards, and conflict-aware execution.
Teams and collaborationSkills, ownership, assignments, discussions, comments, handoffs, notifications, and review history.
Milestones and release scopeConnect test intent, runs, gates, findings, and evidence to exact release milestones.
Bulk and governed operationsTenant- and RBAC-controlled mass updates that preserve auditability.
Knowledge and learningReusable patterns, feedback, test knowledge, provenance, privacy, and revocable learned candidates.
Exploratory sessionsCharters, observations, anomalies, notes, evidence, and handoff to reproducible tests.
Required inputs

Organization roles, release scope, policy, owners, schedules, and optional external workflow credentials.

Honest boundary

External collaboration and test-management destinations are optional, configured adapters.

Bounded verified
One canonical result

Reporting, analytics & evidence

Connect individual failures to cross-domain trends, requirement evidence, release readiness, ownership, and secure exports.

OutcomeEvery stakeholder sees what was selected, executed, conclusive, missing, failed, healed, and ready for review.
AnalyzeDecideLocal-first
Explore 8 included capabilities
Unified reportingCross-domain aggregation without collapsing inconclusive, blocked, input-required, or N/A work into passes.
Interactive and executive outputsWeb, HTML, PDF, JSON, executive views, configurable reports, and video attachments.
Finding evidenceScreenshots, traces, console/network diagnostics, digests, reproduction, and occurrence/finding separation.
Trends and comparisonCompatible history, regression diffs, release comparisons, quality trends, and flaky outcomes.
Requirements and coverageCriterion traceability, conflicts, orphans, heatmaps, exact denominators, and review gaps.
Release readinessFresh evidence, gate accounting, reasons, exact target/release/environment binding, and explainable decision.
Debt, impact, ROI, and ownershipEvidence maturity, responsibility, cost ranges, nullable projections, and next actions.
Secure sharing and auditTenant-scoped access, redaction, schedules, warehouse/SIEM/webhook exports, and authorization history.
Required inputs

Compatible run evidence, release binding, retention/redaction policy, and configured export targets.

Honest boundary

Coverage is evidence linkage, not universal functional completeness; advisory estimates remain labelled.

Available with inputs
Local-first, integrations optional

Enterprise platform & integrations

Deploy in an operator-controlled environment with identity, tenancy, encryption, APIs, observability, CI/CD, and explicit adapters.

OutcomeA production-oriented control plane that does not require third-party execution to claim local readiness.
PlanExecuteDecideLocal-first
Explore 8 included capabilities
Local-first deploymentLocal development, Docker Compose, Kubernetes/Helm guidance, and a same-origin dashboard/API boundary.
Identity and tenancyLocal authentication, SSO adapter inventory, RBAC, tenant-scoped routes/stores, and authorization gates.
Data protectionAuthenticated encryption, server-side secret references, redaction, bounded retention, and minimized evidence.
AuditabilityRequest IDs, authorization events, evidence digests, source/release/environment identity, and reliability journal.
API and observabilityVersioned APIs, OpenAPI, typed clients, idempotency, validation, rate limits, health, metrics, logs, traces, and events.
CI/CD and workflowsPipeline quality gates, schedules, webhooks, release policies, and optional Jira/TestRail-style adapters.
Optional clouds and communicationsDevice clouds, Slack/Teams/email, telephony, external AI/search, and notifications with disclosure.
Exports and developer toolingSIEM, warehouse, reports, SBOM, signed packs, CLI, API docs, recorder console, and generated tests.
Required inputs

Deployment configuration, identity provider, organization policies, secrets, destinations, and optional adapter credentials.

Honest boundary

Actual customer deployment, SSO, retention, and external destinations require environment-specific validation.

Optional integration
Explicitly enabled, never hidden

Optional ecosystem adapters

Connect device clouds, collaboration systems, identity, CI/CD, telephony, external AI, and export destinations when your workflow needs them.

OutcomeBroader reach without making a third party mandatory for the local-first product path.
PlanExecuteDecide
Explore 8 included capabilities
Device cloudsBrowserStack, Sauce Labs, and LambdaTest adapters for explicitly selected browser or mobile matrices.
Delivery and collaborationSlack, Microsoft Teams, email, webhooks, in-product notifications, and governed handoffs.
Test managementJira, TestRail, and related workflow adapters with tenant, identity, and evidence binding.
Enterprise identitySSO adapter inventory for organization-controlled authentication and role mapping.
CI/CDGitHub-, GitLab-, and Jenkins-style gates, schedules, webhooks, and release-policy integration.
TelephonyConsented phone-call start, status, recording, and evidence workflows through a configured provider.
External AI and searchDisclosed provider adapters with credential isolation and no effect on default local readiness.
Export destinationsSIEM, data warehouse, audit, report, SBOM, and signed benchmark-pack destinations.
Required inputs

Provider selection, credentials or secret references, consent, region, retention policy, and an exact allowed scope.

Honest boundary

Adapter contracts do not prove a live customer account or provider service; each external run retains provider evidence.

Lab capability
Visible evaluation frontier

Specialist & research lab

Keep specialized or externally dependent test paths discoverable without presenting them as completed runtime proof.

OutcomeTeams can evaluate the next frontier while customer-facing readiness stays honest.
DiscoverPlanExecuteAnalyzeLocal-first
Explore 7 included capabilities
Specialized mobile matrixRemaining hardware/provider-bound suites beyond the currently owned certified Emulator/Simulator paths.
Broader chaos faultsLatency, loss, corruption, memory, disk, I/O, richer Kubernetes, and multi-region experiments.
Specialist voice measurementNoise, prosody, emotion, diarization, IVR/SIP, call load, speaker, clone, and deepfake paths without configured evidence.
Real assistive technologyConfigured VoiceOver, NVDA, JAWS, and TalkBack matrices beyond the verified bridge contract.
Cross-host visual proofIndependent signed reference/run evidence and additional real OS hosts beyond the owned local matrix.
External comparison packsCompetitor-equivalent benchmark execution remains input required until current, independently sourced packs exist.
Calibrated AI evaluationExternal task corpora, policy datasets, business truth, and evaluator calibration for accuracy claims.
Required inputs

Matching hardware, operating system, provider, external evidence pack, calibrated corpus, or target-specific runtime depending on the experiment.

Honest boundary

Lab presence is inventory only. It does not count as conclusive coverage, production readiness, or independent evidence.

Proof-gated self-healing

Heals the tests. Never hides the bug.

When the application changes, QASolveAI repairs supported Web and Mobile locators, API routes, visual dynamic regions, performance recovery, and bounded accessibility fixes—then proves each repair twice before keeping it.

Never silently rewritten: assertions, business outcomes, security results, or approved visual references.
  1. 01Failure captured
  2. 02Candidate bounded
  3. 03Owner authorizes
  4. 04Exact-scope change
  5. 05Clean proof #1
  6. 06Clean proof #2
  7. 07Regression passes
  8. 08Rollback retained
Self-healing test automation for existing suites

Your existing tests, repaired with proof.

Point QASolveAI at the suite you already maintain. It runs it, diagnoses each failure, heals what broke because the app changed, and reports what is a real bug.

  • Playwright
  • Selenium
  • Cypress
  • WebdriverIO
  • Appium

Healed automatically

  • Renamed ids, changed text, and moved elements
  • Selectors built at run time from templates or helpers
  • Popups, hidden menus, and new form steps
  • Form rules that need a minimal data change
  • Small wording changes in expected text

Left failing on purpose

  • Changed prices, counts, and states
  • New error messages and error pages
  • Text rewritten beyond recognition
  • Flaky tests—reported, never edited

Proven before it is kept

  • Each change runs twice in an isolated git worktree
  • The whole suite re-runs; regressions are rolled back
  • A commit lists every change and what stayed failing
  • Pull or merge requests on GitHub, GitLab, and Bitbucket

Supported: Playwright (TypeScript, JavaScript, Python), Selenium (Python, Java with Maven), Cypress, WebdriverIO, and Appium through pytest. See the full capability and its limits.

Why an AI QA engineer

The judgement of manual QA. The speed of automation.

Manual testers understand the product; scripts run fast. QASolveAI is built to do both.

Manual QA, scripted test automation, and QASolveAI compared
TopicManual QAScripted automationQASolveAI
Understands the requirementYes, from meetings, tickets, and documents.No—it runs whatever was scripted.Yes—reads your goal and scenarios, then asks what is unclear.
Breadth of each release testLimited by the time available.Limited to what has been automated.Every applicable domain in one plan: UI, API, data, mobile, security, and more.
SpeedHours to days per cycle.Fast once written and maintained.Fast, and it plans and prepares the tests itself.
When the application changesAdapts, but repeats the effort.Breaks and needs manual fixes.Heals supported breakages with proof; real bugs keep failing.
Skipped or blocked testsEasy to forget under pressure.Skipped checks can still look green.Every gap is named; nothing counts as a pass silently.
Release sign-offA judgement call with scattered notes.A pass rate without context.GO, NO-GO, or INPUT REQUIRED—with evidence and requirement coverage.
Trust and evidence

Evidence you can trust, in your own environment.

Selected, executed, and conclusive are different facts—QASolveAI keeps them different all the way to the release decision, and runs locally by default.

Independent leadership proof · input required
Canonical accountingIllustrative release evidence Input required
Selected11
Scheduled9
Executed9
Conclusive7
Passed6
Failed1
Input required2
Not applicable2

Illustrative data only. A real run binds counts to the exact target, release, environment, policy, engine versions, and evidence identifiers.

Local-first by defaultOptional providers never become hidden dependencies
Your controlled environment
Web browsersAPI enginesData contractsSecurity enginesAccessibilityVisual labPerformanceVoice control
No external execution selected. Default engines stay inside your environment.
  • 01

    Fail closed

    Blocked, inconclusive, and missing-input work can never become a pass by omission.

  • 02

    Evidence before claims

    Every result retains the target, release, environment, engine, corpus, and reproducible evidence available to support it.

  • 03

    Bounded self-healing

    Only supported failures can be repaired, with authorization, two clean proofs, regression safety, and rollback.

  • 04

    Independent means independent

    Owned benchmarks and external evidence remain visibly separate; competitor leadership proof is currently input required.

Enterprise controls

Production foundations around every run.

Deployment-specific validation is still required; the platform keeps those boundaries visible.

  • Local-first execution
  • RBAC and tenant isolation
  • Server-side secret references
  • Authenticated encryption
  • Redacted evidence retention
  • Authorization and audit events
  • Versioned API and OpenAPI
  • Health, metrics, logs, and traces
  • CI/CD quality gates
  • Explicit optional integrations
Frequently asked questions

Questions teams ask about AI test automation.

Short, direct answers about what QASolveAI does—and what it deliberately does not claim.

What is QASolveAI?

QASolveAI is a human-like AI QA agent. Like a senior QA engineer, it understands what you are shipping, asks about anything unclear, plans every applicable test, runs them end to end across Web, API, database, mobile, security, performance, accessibility, visual, chaos, voice, and AI testing, and reports what is ready, what is broken, and what still needs a decision.

How does QASolveAI understand my requirements?

Describe the goal in plain language and add acceptance criteria or business scenarios if you have them. The agent discovers your application and API specifications, links each requirement to the tests that cover it, and asks structured questions when something is ambiguous instead of guessing.

Can QASolveAI guarantee that nothing is missed?

No tool can honestly promise to catch every bug. What QASolveAI guarantees is that nothing is skipped silently: every requirement is traced to tests and results, and anything it could not test is listed with the exact input it needs, so gaps are visible before you ship.

How is an AI QA agent different from Selenium, Playwright, or Cypress?

Selenium, Playwright, and Cypress are frameworks you write and maintain tests in. QASolveAI works above them: it plans which tests apply, runs its own engines, and can heal your existing Playwright, Selenium, Cypress, WebdriverIO, and Appium suites when the application changes.

Can QASolveAI fix my existing broken tests?

Yes, for supported suites. It repairs locators, run-time-built selectors, blocked or changed flows, and small wording changes, proves each change by running the test twice and the whole suite once, and opens a commit or pull request. Product problems such as a changed price keep failing, and flaky tests are reported instead of edited.

Does self-healing hide real bugs?

No. Healing is limited to changes that can be bounded and proven. Assertions, business postconditions, security results, and approved visual references are never silently rewritten, and every kept change can be rolled back.

Which types of testing does QASolveAI support?

Web and UI, API and contract, database and cache, mobile (Android and iOS), security (DAST, SAST, secrets, dependencies, and cloud-native), performance and load, accessibility, visual regression, chaos engineering, voice and conversational, and AI or LLM testing, plus test generation, test management, and reporting.

Does my data leave my environment?

Not by default. QASolveAI is local-first: default engines run inside your controlled environment. Device clouds, external AI, notifications, and ticketing are optional adapters that you enable explicitly, and they never count toward local readiness.

Can I use QASolveAI in CI/CD?

Yes. A security gate reads completed scan results and produces SARIF 2.1.0 for GitHub code scanning and JUnit for build tools. It fails only on new findings at or above your severity threshold, and fails closed when a scan was blocked or incomplete.

Does QASolveAI do security testing and compliance reporting?

It runs owner-authorized dynamic and static security checks mapped to OWASP and CWE, and reports indicative PCI DSS, SOC 2, ISO 27001, and HIPAA requirement coverage. Reports separate findings, clean results, and untested requirements; they are not an audit or certification.

What does the final QA report contain?

A release recommendation—GO, NO-GO, or INPUT REQUIRED—followed by requirement coverage, each bug with its reproduction evidence, every repair and how it was proven, and every check that could not run with the exact input it needs.

Does QASolveAI replace QA engineers?

No. It removes repetitive planning, execution, and test-maintenance work and makes evidence explicit. Decisions that need business judgement—such as a deliberate price change or a risky mutation—stay with people, and the agent asks for missing inputs instead of guessing.

Start with one real release

Give your next release to an AI QA engineer.

Describe what you are shipping. Get back a complete test plan, real results, healed tests, filed bugs, and a clear GO or NO-GO—without anything skipped silently.

Get started Talk to the agent