Run performance, security, accessibility, privacy, and UX checks in one scan. Share a single report with developers, QA, and clients, then move from self-serve evaluation into a guided pilot when rollout or buyer review starts to matter.
Use a public URL, generate one shared report, and prove the value before changing your team workflow.
Add seats, white-glove reporting, and rollout help once the scan becomes part of client work or internal releases.
Use the dedicated security path when procurement, deployment posture, or rollout questions enter the deal.
● Cloud Worker Online — results in ~90 seconds
AI Tester is strongest when it becomes the pre-release checkpoint between your staging URL and production.
Scan a staging URL or production candidate before launch so performance, privacy, and UX regressions do not slip through at the last minute.
Give developers, QA, and clients one report instead of juggling separate tools for Lighthouse, headers, links, and accessibility.
Start solo with self-serve scans, then move teams onto a guided pilot when you need seats, white-glove reporting, and commercial support.
Most teams start with one staging URL and one release checkpoint, then expand once the reporting and bug catches prove themselves. Early pilots are optimized for validation, not perfect automation.
Use the same environment your team already trusts before production.
Start with one critical route or one flagship property before expanding coverage, even if the first pilot scans are slower than the long-term target.
Treat performance, privacy, broken links, accessibility, and security issues as one release conversation, with manual review support where needed during the pilot.
# example rollout pattern
deploy_preview
run_ai_tester_scan
review_report
fix_blockers
ship_releaseDuring a team pilot, we help wire this checkpoint into the release flow you already use, and we can support some of the reporting manually while the process is being validated.
| Outcome | Fragmented stack | AI Tester |
|---|---|---|
| Coverage | Multiple tools, multiple reports | 40 engines in one scan |
| Team handoff | Manual copy-paste across tools | One report for dev, QA, and client review |
| Security and privacy | Often separate add-ons | Headers, cookies, telemetry, and API fuzzing together |
| Regression surfacing | Context split across dashboards | Performance, UX, links, and accessibility in one place |
| Commercial use | Per-tool seat sprawl | Solo, team, and enterprise rollout paths |
The engine count matters because it reduces tool sprawl, not because buyers want a bigger number.
+ 20 more engines: AST, Visual Regression, Stealth, Conversion, Red Team, Deep DOM, UI Flow, Store Ready...
When a scan finds something important, AI helps your team understand the issue faster and turn that analysis into next actions.
Lightning-fast inference for common fixes — free forever
Premium models for expert code analysis and complex edge cases
Enterprise-grade AI healing — automatically selects the right tier for each fix. Zero configuration needed.
B2B buyers do not just ask what the scan finds. They ask how it fits procurement, rollout, and data-handling reviews. This layout makes the pilot model feel intentional instead of apologetic.
Scan public URLs, share one report, and keep the data-handling language explicit so buyers know what is and is not retained.
Move from solo usage to team onboarding with white-glove reports, pilot support, and a clear enterprise contact path.
Lead with self-serve today, then scope private or higher-trust rollout requirements during a team pilot.
Self-serve scans for fast evaluation, guided pilots for team rollout, and a direct sales path for higher-trust deployment conversations. We would rather deliver some pilot steps manually than pretend they are fully automated before they are ready.
Read the security overview →Use the current stack, prove the workflow, and support some delivery steps manually while the team decides whether the release gate earns a permanent place.
Once scan frequency, queue pressure, and buyer demand are real, automate the reporting and scale the workers behind the scenes.
Start self-serve, then move into a pilot when you need seats, reporting, and commercial support. Early team rollout is intentionally concierge-led.
Try the core scan before you commit your workflow.
Immediate access with self-serve usage and lightweight support.
For solo builders who want deeper coverage and commercial use.
Immediate access with self-serve usage and lightweight support.
For small SaaS teams and agencies validating the workflow with guided rollout support.
Hands-on onboarding and pilot support with premium presentation and faster feedback loops.
For larger orgs that need procurement support, rollout planning, and scoped delivery expectations.
Sales-led scoping with procurement, rollout, and delivery expectations agreed before the wider rollout.
Solo plans are self-serve. Team and enterprise rollout is scoped around seats, support needs, and how much of the delivery is still white-glove during validation.
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Run a free scan today, or book a team pilot if you want help rolling it out across client work or internal releases.
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