The startup develops an emergency management platform that utilizes simulation and machine learning to optimize resource allocation for fire departments during emergencies. By enhancing strategic planning, the platform aims to improve response times and effectiveness in saving lives and property.
Funding
$400K 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.
Founders
Product
Problem
Fire and EMS departments face challenges in optimizing resource allocation and strategic planning due to the complexities of emergency response and evolving community needs. Traditional methods often lack the precision to effectively predict incident demand and evaluate the impact of different deployment strategies, hindering their ability to improve response times and ensure community safety.
Solution
Levrum Data Technologies offers a suite of resilience analytics software, including Code3 Strategist, Code3 Visionary, and Code3 Advisor, designed to transform raw data into actionable insights for Fire-EMS agencies. The Code3 suite enables agencies to model operations, predict future incident workloads, and explore various deployment strategies. By integrating data from disparate sources such as CAD, RMS, and GIS systems, Levrum's DataBridge provides a coherent framework for unified incident and response data. The platform's simulation and machine-learning capabilities empower agencies to make informed decisions, optimize resource allocation, and enhance service delivery.
Target Audience
The primary target audience includes fire and EMS agencies seeking to improve operational efficiency, enhance strategic planning, and optimize resource allocation to better serve their communities.
Features
- Code3 Strategist: Provides a detailed environment for modeling operations, including station locations, staffing/scheduling, unit deployment, and scenario planning.
- Code3 Visionary: Applies machine learning and statistical algorithms to forecast incident workload by location, type, and time, enabling agencies to prepare for future challenges.
- Code3 Advisor: Employs a proprietary machine learning algorithm to explore and refine operational strategies, optimizing for multiple objectives such as response time, workload, and reliability.
- DataBridge: Consolidates and validates data from various sources, including CAD, RMS, and GIS systems, providing a unified view of incident and response data.
- Customizable Reporting: Allows users to build and audit custom reports using multiple data sources, ensuring specific operational needs are addressed.
- Data Integration: Built-in adapters for common CAD and RMS solutions, common data warehouse architectures, and the ability to integrate novel data sources quickly.