| What it does | Testing and improvement for GenAI systems, before deployment and in production
| Build web apps, mobile apps, and AI agents on your desktop or on-premise, with full control over code, data, and deployment
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Free: $0/month with 5 agents, 1 app, live preview, editable source, on-device AI, and 30-day history. Pro: $29/user/month (billed monthly or annual) with 50 agents, 10 apps, 20 connections, webhook triggers, 3 frontier providers, and 180-day history. Enterprise: Contact for pricing with on-prem NXR
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| Key features | - Automated evaluations with off-the-shelf benchmarks and LLM as Judges
- Product strategy and cross-department PM modules
- Automated alerts for deviations in product behavior
- LLM as Users for simulating diverse user personas
- AI portfolio governance and oversight
- User feedback automation and expert annotation
- Metrics comparison with historical data and leaderboards
- Customizable metrics for different knowledge levels and evolving needs
- Integration with existing workflows for cross-departmental teams
| - Next.js web apps and Expo mobile apps with live preview and editable source code
- AI agents with policy compliance gates and approval workflows
- Ready-made agent templates for support, invoicing, logistics, sales, compliance, and spreadsheet conversion
- Local AI model support and on-device processing
- Desktop or on-premise deployment with no mandatory cloud hosting
- Dynamic connectors for Gmail, Outlook, Slack, Sheets, files, webhooks, and documented APIs
- Change history, version restore, and audit trails for compliance
- Compiled deterministic workflows that produce repeatable results
- Team workspaces with SSO, SAML, and role-based access control in Enterprise tier
- Plain-language builder interface that generates and tests code
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| What makes it different | - Measures real-world impact to prove business and user value before deployment
- Metrics become shared language across product, engineering and risk teams
- Reduces reliance on data scientists by automating AI product management
- Makes impact of AI predictable through testing and forecasting
- Ensures AI aligns with actual user needs through feedback and explainability
| - Single platform for web apps, mobile apps, and AI agents without surrendering development environment or cloud dependency
- Real, editable source code with version control instead of black-box generation
- Executable company policies embedded in agent workflows with approval gates and audit trails
- All code, data, credentials, and models stay on your hardware or inside your network
- Independent deployment with no vendor lock-in or mandatory hosting
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 39 ● no change since last check | 39 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 8 |
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| Citation Flow (Majestic) | 23 | 32 |
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| Referring domains (Majestic) | 84 | 32 |
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Impact AI
Avery