OmniDispatch

OmniDispatch is a next-generation, AI emergency dispatch platform, safer by intelligently analyzing live emergencies, predicting potential risks, and delivering instant intelligence in real time.

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Inspiration

In Emergencies, every second can decide the outcome. Yet most dispatch systems today are still reactive, fragmented, and slowed by manual processes and delayed AI responses. We were inspired by a simple but powerful question: what if emergency systems could think and act at the speed of the situation itself? OmniDispatch was born from the belief that AI should not just assist after decisions are made, but actively guide them in real time

What it does

It is an AI-powered emergency dispatch platform that transforms how emergencies are handled. It analyzes live calls in real time, predicts potential risks using historical and situational data, and automatically coordinates the optimal response across agencies. With instant access to 3D building blueprints and safety protocols, OmniDispatch equips dispatchers and first responders with critical intelligence before they arrive on scene

How we built it

We built this using a high-performance, agentic AI architecture. Cerebras powers ultra-fast inference, enabling sub-200 millisecond reasoning for real-time decision-making. ElevenLabs is used for voice processing and stress-aware call analysis. CrewAI orchestrates multiple specialized AI agents that work in parallel to analyze incidents and coordinate responses. The frontend is built with Next.js and TypeScript for a responsive, mission-control experience, while FastAPI powers a scalable, real-time backend with a RAG-based knowledge system.

Challenges we ran into

Building a real-time emergency system introduced significant technical challenges. Achieving sub-200 millisecond latency while coordinating multiple AI agents required careful optimization across inference, orchestration, and data retrieval. Integrating real-time voice analysis with predictive intelligence and live visual dashboards added complexity. Ensuring the system remained responsive, reliable, and easy to use under high-stakes conditions pushed us to refine our architecture, streamline data flows, and prioritize performance at every layer.

Accomplishments that we're proud of

We successfully built a complete, end-to-end emergency dispatch platform within the hackathon timeframe. OmniDispatch demonstrates sub-200 millisecond AI reasoning, real-time multi-agent coordination, and predictive intelligence in a fully functional system. We are proud of delivering three integrated command centers live dispatch, predictive analytics, and building intelligence combined with a professional, mission-control user experience. Most importantly, we created a solution that is not just innovative, but genuinely impactful and deployable in real-world scenarios.

What we learned

We learned that in high-stakes systems, speed and orchestration matter more than complexity. Designing AI that operates in real time requires careful architectural choices, not just powerful models. We also learned the importance of building user-centered design intuitive interfaces are critical when decisions must be made under pressure.

What's next for OmniDispatch

Next, we plan to enhance OmniDispatch with community-aware intelligence. The system will identify nearby responders, volunteers, and crowd density in real time, visually mapping people around an incident. This enables safer navigation, faster assistance, and smarter coordination Allowing teams to move efficiently, avoid congestion, and leverage nearby help when seconds matter most.

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