Continuous end-to-end testing platform for AI-driven development
Best for: Engineering teams shipping features at high velocity with AI coding assistants, Startups and scale-ups that need continuous quality without dedicated QA
Fix bugs 10x faster by giving AI agents browser context via one link.
Best for: Solo developers debugging with AI coding agents like Claude Code or Cursor, Small teams collaborating on bug fixes with AI agent context sharing
AI code review that runs your app to catch behavioral bugs before merge.
Best for: Engineering teams using AI coding assistants (Copilot, Cursor) needing runtime validation, Startups and mid-size companies shipping multiple PRs daily
AI-native SDLC automation for large-scale enterprise engineering teams
Best for: Enterprise engineering teams with 1M+ lines of code suffering from context fragmentation, Regulated industries needing AI compliance and auditability
Autonomous AI agents that watch session replays and fix bugs for you.
Best for: Product managers wanting deep behavioral insights without manual event tagging, UX researchers analyzing session replays at scale with AI summaries
Error tracking and performance monitoring with AI-powered debugging for developers.
Best for: Full-stack developers debugging production errors in web and mobile apps., Mobile app teams needing crash analytics with session replay for iOS/Android.
Unified AI platform for code docs, reviews, security, performance & testing.
Best for: Engineering teams onboarding new developers quickly with auto-generated docs, QA teams needing structured test case generation from various inputs
Debugging AI tests your app like a real customer, automatically.
Best for: Frontend developers shipping frequent PRs who want fast regression coverage without writing test scripts, Small teams without dedicated QA needing a zero-config solution to catch UI bugs
