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Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.
AI software testing platform whose autonomous agent Aximo generates and runs end-to-end tests across web, mobile, and desktop apps.
Automated AWS usage optimization platform giving engineers 150+ recommendations across 50+ services, averaging ~10% savings.
Vibe-coding builder creating full-stack apps by chatting with AI.
AI design engineer that designs UIs on a canvas and ships production frontend code in your own stack.
No public pricing
Free trial available
Free trial available
- ✦Automated service discovery and dependency topology mapping
- ✦SLO-based alert triage and prioritization
- ✦AI-driven root cause analysis with pre-built workflows
- ✦Human-approved remediation with full audit trails
- ✦Works alongside existing tools like Datadog, Grafana, New Relic
- ✦Governance and policy enforcement layer for agent actions
- ✦Aximo autonomous AI testing agent
- ✦Natural-language and visual test generation
- ✦End-to-end, regression, and visual testing
- ✦Web, mobile, and desktop coverage
- ✦Credit-based, concurrency-tiered plans
- ✦Managed QA and on-prem options
- ✦150+ recommendations across 50+ AWS services
- ✦Zombie and unused resource cleanup
- ✦Over-provisioned rightsizing
- ✦Idle-resource scheduler
- ✦SpotBot for ECS Fargate spot/on-demand switching
- ✦AWS console extension with Slack/Teams alerts
- ✦CodeFlying enables full-stack app creation via chat in minutes
- ✦Design UIs on an infinite canvas
- ✦Production frontend code in your stack (400+ libraries)
- ✦Reuses your components, tokens, and hooks
- ✦In-browser editing with DevTools context
- ✦Design and code stay synced in your repo
- ✦Asset and animation generation
- →SRE teams reducing mean-time-to-resolution during incidents
- →Platform engineers wanting policy-governed AI infrastructure management
- →Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations
- →Automating regression testing without scripting
- →Replacing manual QA workflows
- →Testing Salesforce, Canvas/WebGL, and mobile apps
- →Scaling test coverage for engineering teams
- →Cutting AWS spend automatically
- →Rightsizing over-provisioned resources
- →Scheduling idle resources off-hours
- →Giving DevOps in-console cost recommendations
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- →Turning designs into production frontend code
- →Building landing pages and product UIs
- →Refining UI directly in the browser
- →Keeping design and code in sync