Features
Automated PR testing with regression and exploratory execution
AI agents run tests in real browsers on preview deployments
Results posted as GitHub check with screenshots, logs, network activity
Vision-based UI testing (no brittle selectors, adapts to redesigns)
Natural language test creation (plain English scenarios)
Mobile testing for iOS and Android (including device presets)
Multi-application and cross-platform test flows (web+mobile+API)
Accessibility testing per change
Dynamic test data generation (standard paths, edge cases, errors)
Post-run AI analysis with auto-reruns on failures
Geo-location routing for location-specific testing
Test environment creation from chat assistant
MCP tools with typed schemas for AI coding tool integration
Project creation API and org-wide API keys
SOC 2 Type 2 compliant, no code access required
Autonomous AI agents for GTM signal research and qualification
Always-on triggered Plays with retries and versioning
Reusable Tools callable from UI, API, or agents
Unified Data Model across CRM, product, and enrichment
Visual play builder for no-code workflow design
Programmatic access via TypeScript CLI, MCP, and Terraform
Claude Code integration for terminal-based GTM ops
Run-level observability across every step and failure
Account list building with lookalike generation
CRM enrichment from 30+ providers
Lead scoring based on intent and engagement signals
Automatic lead routing by territory, capacity, and fit
Deal risk and churn detection with real-time alerts
Version history, diff comparison, and one-click rollback
SOC 2 Type II certified with SSO and role-based access
