RapidSOS provides a cloud‑based platform that enriches 911 calls with precise location, sensor, and telematics data from connected devices, delivering this information to emergency communications centers via secure APIs. Its AI assistant automates verification, translation, and transcription, while real‑time interoperability tools synchronize incident data across fire, EMS, law‑enforcement, and other public‑safety agencies, improving situational awareness and response times.
Funding
$75M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+7Founders
Product
Problem
Emergency responders often receive incomplete or delayed caller information, making it difficult to assess risk, allocate resources, and arrive at incidents with the right context. Fragmented data sources and limited interoperability between public‑safety agencies further impede coordinated response during critical events.
Solution
RapidSOS operates a cloud‑based data platform that aggregates location, sensor, and contextual data from connected devices, telematics, and third‑party services at the moment a 911 call is placed. The platform delivers this enriched information to emergency communications centers (ECCs) and first‑responder systems via secure APIs, enabling dispatchers to see precise caller location, vehicle telemetry, medical alerts, and other relevant details instantly. Built‑in AI assistants automate verification, translate text/video, and suggest appropriate response actions, while real‑time interoperability tools allow agencies to share incident data across fire, EMS, law‑enforcement, and other public‑safety networks. This end‑to‑end intelligence reduces response times, improves situational awareness, and supports data‑driven decision making during both routine calls and large‑scale incidents.
Target Audience
Primary customers are emergency communications centers, fire and EMS departments, law‑enforcement agencies, and public‑safety organizations such as schools, universities, and state 911/government entities that need real‑time, data‑rich incident information.
Features
- API‑driven data delivery that enriches 911 calls with precise GPS, device sensor, and telematics information
- AI‑powered assistant for automated emergency verification, language translation, and real‑time transcription of text/video inputs
- Real‑time interoperability layer that synchronizes incident data across fire, EMS, law‑enforcement, schools, and state agencies
- GIS and mapping tools that visualize caller location, route planning, and asset positioning for dispatchers
- Live video streaming and drone‑as‑first‑responder integration to provide visual situational awareness before units arrive
- Automated non‑emergency call routing and workflow automation to reduce manual handling
- Analytics dashboard that aggregates response metrics, incident trends, and performance insights for continuous improvement