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M

MIDL

MIDL provides software that consolidates and streamlines video footage for security and public safety teams, allowing operators to quickly locate relevant clips across disparate camera systems. By integrating incompatible platforms into a unified interface, the solution speeds up investigations and improves situational awareness, helping teams respond more efficiently to incidents.

  • Artificial Intelligence
  • Data & Analytics
New York City
Founded 20209300+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Security and public‑safety teams often manage dozens to hundreds of camera feeds that are hosted on separate, non‑communicating systems. Operators must switch between multiple interfaces and manually search footage, which consumes valuable time and hampers rapid response to incidents.

Solution

MIDL offers a unified video‑management platform that aggregates disparate security and public‑safety camera systems into a single, searchable interface. The software layers AI‑driven analytics—such as object detection and gun‑shot recognition—on top of the consolidated feeds, enabling operators to surface relevant video clips instantly. Integrated search tools use metadata, timestamps, and AI tags to locate footage across all connected cameras without manual sifting. The platform also supports integration with ancillary systems (access control, panic buttons, mass‑notification) to provide a comprehensive situational picture. By delivering real‑time, context‑rich video information, MIDL reduces investigation time and improves overall situational awareness for safety teams.

Target Audience

Primary customers are campus law‑enforcement and security departments, municipal public‑safety agencies, and higher‑education safety operations that need to manage large, heterogeneous camera networks.

Features

  • Centralized dashboard that ingests and displays video streams from heterogeneous VMS, IP cameras, and third‑party sources
  • AI “glue” layer that automatically tags footage with events (e.g., gun detection, license‑plate reads, motion anomalies) for instant retrieval
  • Fast, keyword‑based and time‑range search across the entire camera network, eliminating manual review
  • Seamless API integrations with access‑control, panic‑button, and mass‑notification systems to enrich incident context
  • Role‑based user management and audit logging to meet privacy and compliance requirements in education and law‑enforcement environments
  • Scalable architecture suitable for small campus dispatch rooms to large municipal RTIC deployments
This profile is AI-generated and may contain inaccuracies.