Interfaces
Custom interfaces for every team, allowing you to manage your AI-native operations at human-readable layers of abstraction.
Book a demoPurpose-built apps
Apps can be custom built for the decisions and metrics each team actually owns.
- Custom AppsCustomer support, logistics operations, escalation management, or whatever your operation actually runs on.
- VisibilityAgent interactions become real-time metrics, so you see how the workforce is performing as it runs.
- EscalationsIntroduce approval gates, escalations and handoffs, so relevant teams step in when it matters.
Built by our customers, for their teams
100%
20
$40K
High
38
29
9
214
12 847
87%
9%
31 660
87% AI
792
4.5 / 5
Every app steers outcomes
Each team gets an interface built for the decision it actually owns. Nobody works the queue by hand, teams watch the outcome and intervene only at the altitude where intervening matters.
Enterprise SuperintelligenceFAQs
Interfaces are the purpose-built operational applications and dashboards that sit on top of the AI workforce and Context, giving teams direct visibility into what agents are doing, why, and the tools to act on it. They live natively inside the platform rather than being bolted on from outside, with direct access to the data agents produce.
Custom apps are full operational web applications, a customer support tool, a regional operations view, a logistics exceptions dashboard, an escalation management tool, built for how a specific team actually works, not limited to reporting. Each app is backed by its own code repository, capable of surfacing data and taking action on it, not just displaying it.
Apps are built in an in-platform sandbox with a code editor, live preview, and an AI coding agent. A user describes what they want in natural language and the AI agent writes and iterates on the code in real time, while engineers can step in for deeper customization at any point. The AI handles the first 90%, engineers can handle the rest.
No. Once published, apps deploy and are hosted directly within HappyRobot's platform infrastructure, with no external URLs or separate hosting to manage. They persist in the platform and update automatically as the underlying data in the Context layer changes.
Because every app is built on the same underlying Context data layer, teams with different roles can build the exact view they need without duplicating data pipelines: a regional operations lead sees what matters to their market, a customer support manager sees their team's metrics, and a global director sees across all of it, all live, and all from the same operational record.
