The Future of Crowd Safety is
Predictive.

Cerberus leverages advanced artificial intelligence to help event organizers monitor, predict, and manage crowd flow in real-time. We build the intelligence so you can build the experience.

Backed By

Redefining Event Security

The Problem

Traditional crowd management is reactive. By the time a bottleneck forms, it is already a safety risk. Current methodologies rely heavily on post-incident responses or manual observation, leaving security teams blind to emerging congestion. This critical delay not only degrades the attendee experience but can rapidly escalate into dangerous scenarios.

Our Vision: Proactive AI

We are developing computer vision and predictive analytics algorithms that integrate with existing camera infrastructure to map crowd density and predict movement before issues occur. By leveraging advanced spatial mapping and continuous machine learning models, Cerberus turns standard feeds into proactive safety heatmaps.

Product Roadmap

01
Q2 2026 Current

Core AI & Simulation Sandbox

Establishing our foundational computer vision models and building a robust virtual testing environment.

  • Model Architecture: Developing baseline object detection and density estimation algorithms.
  • Synthetic Data Generation: Constructing a virtual simulation engine to safely generate diverse, high-volume crowd training data.
02
Q3 2026

Prototype & Dashboard Integration

Connecting our inference models to a functional, real-time user interface.

  • Pipeline Integration: Linking the trained models to our real-time backend analytics engine.
  • User Interface: Developing the front-end dashboard to display live capacity heatmaps and early-warning zone alerts.
  • Stress Testing: Validating the software against complex simulated crowd bottlenecks and heavy visual occlusions.
03
Q4 2026

Hardware Calibration & "Sim-to-Real"

Bridging the gap between our simulated environments and physical camera deployments.

  • Edge Deployment: Configuring the software pipeline to run efficiently on localized edge-computing devices.
  • Real-World Calibration: Collecting baseline physical footage to fine-tune the model against real-world lighting, weather, and camera angles.
04
Q1 2027

Live Pilot Deployment

Deploying Cerberus into physical reality with our early Design Partners.

  • Controlled Testing: Initial hardware and software deployment at monitored venue bottlenecks to prove continuous system stability.
  • Iterative Learning: Continuously training the system based on live environmental feedback and operational operator input.

Built by Future Engineers.

Ilyas Rahmouni - Co-Founder and Technical Lead at Cerberus

Ilyas Rahmouni

Co-Founder & Technical Lead
ilyas.rahmouni@cerberusvision.tech
Amine Chrif - Co-Founder and Technical Lead at Cerberus

Amine Chrif

Co-Founder & Technical Lead
amine.chrif@cerberusvision.tech
Malak El Assali

Malak El Assali

Co-Founder & Technical Lead
malak.elassali@cerberusvision.tech

Help Us Shape the Future

We are actively looking for forward-thinking event organizers, venue managers, and industry experts to become early Design Partners. If you want to pilot next-generation crowd intelligence, let's talk.