Caleo provides an end‑to‑end intelligent automation platform for public safety agencies, digitizing workflows such as incident creation, shift scheduling, overtime management, and cost reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Public safety agencies must coordinate complex scheduling, overtime, incident reporting, and resource allocation manually, leading to inefficiencies, errors, and delayed decision‑making.
Solution
Caleo offers an end‑to‑end intelligent automation platform that digitizes and streamlines the entire public safety workflow—from incident creation and event scheduling to overtime management and cost reporting. The cloud‑based system uses a modular, API‑driven architecture to integrate with existing tools while processing thousands of shifts per second, delivering real‑time operational intelligence. Built‑in security features such as SSO and SAML protect sensitive data, and a proprietary reporting engine turns operational data into actionable insights for resource optimization and compliance.
Target Audience
Primary customers are municipal police, fire, and emergency‑services departments that manage large volumes of shifts, overtime, and incident reporting, as well as regional public safety agencies seeking scalable automation.
Features
- Modular workflow engine covering patrol, registry, incident handling, overtime, off‑duty, events, court coordination, and mutual aid
- API‑first design enabling seamless integration with legacy systems and custom extensions
- Real‑time scheduling and dynamic dashboard with smart algorithms for fair shift assignment and overtime optimization
- Automated incident reimbursement and cost allocation with customizable pricing rules
- Geolocation‑based check‑in/check‑out, shift trading, and relinquishment controls to ensure compliance and accountability
- Fast forms builder and instant PDF export for department documentation and reporting
- Role‑based access control with configurable user roles, union‑compliant assignment logic, and audit‑only views
- Continuous deployment and feedback loops that learn from usage to improve accuracy and efficiency