DetIQ AI crawls your app, builds a persistent knowledge base, and generates production-ready test cases and executable code — in your language and framework.
No configuration. No hand-coding. Connect your app and DetIQ AI handles the rest — end to end.
Stagehand AI explores every screen autonomously. Handles login, TOTP, session state, and multi-viewport capture.
Builds a 14-dimension knowledge base: tech stack, auth flows, API contracts, component library, element behaviors, and more.
21 parallel AI passes produce IEEE 829-compliant test cases with risk-based coverage, then turn them into runnable code.
Run tests on a browser matrix, mobile devices, or CI. Real-time streaming, flake detection, visual diffs, failure analysis.
Push to GitHub, sync with Jira, gate CI/CD pipelines, deliver straight to VS Code or JetBrains — in one click.
Every layer of testing — from crawl to execution — in a single platform.
Autonomous AI crawl with session handling, TOTP, multi-viewport screenshots. Builds a persistent screen + element catalog with ARIA, semantic meaning, and bounding boxes.
IEEE 829 / ISTQB / ISO 29119-3 compliant. Coverage grid engine: element × technique × data class. Risk-based minimums. Validation gate rejects vague, generic, or ungrounded tests.
Production-ready code in TypeScript, JavaScript, Python, or Java. Playwright, Cypress, Selenium, WebDriverIO, and Gherkin. Page Object pattern with data-testid-first locators.
Equivalence partitioning + boundary value analysis per field. XSS, SQLi, and path traversal probes auto-generated. PII enforcement with synthetic placeholders. 12 typed field schemas.
Appium integration for real iOS and Android apps. BrowserStack, AWS Device Farm, and local emulator backends. APK, IPA, AAB upload. Crash detection, FPS, and memory metrics.
Auto-baseline on first crawl. AI visual diff across desktop, mobile, and tablet. MINOR / SIGNIFICANT / CRITICAL severity. Heatmap overlays, QA approval workflow, full diff history.
Coverage matrix mapping test cases to code files and requirements. Requirement traceability, gap analysis, trend charts. SLA enforcement gates deployments below minimum threshold.
60-second OTP delivery to VS Code or JetBrains. GitHub OAuth: repo tree, framework detection, PR creation, coverage mapping. Style profile extraction matches your team's conventions.
Persistent skill file taxonomy: tech stack, auth session, API contracts, business domain, data model, interaction patterns, error catalogue, visual baseline, component library, and more.
Token-level LLM ledger per project, per agent. Stripe subscription management, usage dashboards, monthly reset, alert thresholds. Full per-project cost allocation.
Multi-tenant SaaS with complete workspace separation. Six built-in roles + custom roles with granular permissions. Review workflows, @mentions, audit logs, activity feed.
Multi-agent pipeline with validation gates. Stagehand crawler + Skyvern vision fallback. Anthropic Claude primary with OpenAI GPT-4 configurable per task. Structured JSON output with schema validation.
DetIQ AI matches the tech your team already uses — no migration required.
Deep integrations with the tools QA teams, developers, and managers already use.
Security isn't bolted on — it's built into every layer of the platform.
Tenant isolation enforced at DB layer. SQL injection cannot cross tenant boundaries.
All credentials, API keys, and tokens encrypted at rest. No plaintext storage.
URL validation before every crawl. Internal IP ranges (10.x, 172.x, 192.x, localhost) blocked.
Two-factor authentication with TOTP authenticator app support and backup codes.
Sensitive data automatically scrubbed from screenshots, logs, and exported reports.
Every platform action logged with user, timestamp, and context. Fully queryable.
All inbound webhooks (Stripe, GitHub, custom) verified with signature validation.
Encryption in transit and at rest. Data residency options. Compliance-ready architecture.
Start free. Scale as you grow. Full token-level cost visibility at every tier.
Stateless API, async job queue, Row-Level Security, and vector grounding for large projects — everything needed for enterprise scale.
Other tools do fragments. DetIQ AI covers the full test lifecycle with capabilities no other platform ships.
| Capability | Selenium IDE | Testim | Mabl | DetIQ AI |
|---|---|---|---|---|
| AI test generation | — | Partial | Partial | Full |
| Real executable code output | — | — | — | |
| Multi-language (TS/JS/Py/Java) | — | — | — | |
| Mobile native testing (Appium) | — | — | — | |
| Test data generation (BVA/EP) | — | — | — | |
| Persistent knowledge grounding | — | — | — | |
| Visual AI regression | — | |||
| Jira / Confluence / TestRail | Partial | Partial | Partial | Full |
| On-premise deployment | — | — | — | |
| IEEE 829 / ISTQB standards | — | — | — | |
| Token-level cost tracking | — | — | — |
DetIQ AI — Quality Intelligence Platform
Built by Deepak M · Tao Digital Solutions