Most safety platforms are adding AI features: A chatbot here, a generated report there. In most cases, it’s AI added onto systems that weren’t built with ‘intelligence features’ in mind.
The way we’ve architected Rescue Intelligence is different. The data and integration layer has been the foundation underneath everything we’ve built.
What’s already live
Two AI-powered tools are already deployed and in use:
- AI after-action reports analyze what happened during an emergency and surface what could be done better, automatically, without someone having to piece it together manually.
- AI mapping helps administrators figure out optimal device placement across their facility, so coverage decisions are informed rather than guesswork.
These are currently running in our platform today.
Where Rescue Intelligence is going
Our roadmap builds toward something more significant: a safety intelligence hub with an agentic workflow engine.
Think of this as the central nervous system for safety intelligence. Information flows in from across the organization, is automatically connected and analyzed, then used to determine where attention, communication and action should occur.
In practical terms, that means agents working in the background to keep your system healthy, monitoring devices, flagging issues proactively, and taking action before problems become failures. It means custom workflows that combine reliable, rule-based decision making with agents that can interpret unstructured data like audio and video.
We’re bringing on Agent Deployment Engineers to build custom integrations for partners, connecting Rescue Intelligence to third-party systems like video surveillance and access control. Our APIs and webhooks are already built to support this.
The direction we’re building
Our goal is to give our customers a centralized place where safety intelligence compounds over time.
- After-action reports that pull from every data source in the building.
- Proactive alerts before a device goes offline.
- Agentic workflow engine built that protects all customer data.
- IoT multi-device data ingestion for comprehensive safety assessments.
The more data that flows into Rescue Intelligence, the more useful it becomes.
