DeepMAV.ai is an advanced drone-based Artificial Intelligence lab based in Toronto, Canada. Our primary R&D focus is distributed intelligence and drone swarm technology. We are working on implementing fully autonomous, intelligent, multi-sensor equipped, swarms of Micro-Aerial Vehicles to solve problems in energy & utilities, agriculture, infrastructure, natural disasters, and safety & security.

Smart Agriculture
Surveying & Maintenance of Critical Infrastructure
Natural Disaster Prevention and Relief
Asset Security and Policing

Our proprietary technology includes Artificial Intelligence (AI) solutions based on deep and reinforcement learning and distributed coordination, that enable a system of drones to act as a cooperative swarm when performing a complex task. Our autonomous drone swarms utilize on-board sensors, inter-drone and drone-to-center communication, and machine learning on tasks such as obstacle avoidance, mapping, localization, target detection and tracking, flight control and navigation.

Team

Dimitrije Jankovic, MBA
Head of Strategy

Dimitrije Jankovic earned his MBA degree from the Rotman School of Management at the University of Toronto, and a computer engineering & science degree from University of Belgrade. He is a strategy consulting executive, with experience at leading global consulting firms in Canada and United States, and a thought leader in technology and business strategy.

Dimitrije brings deep expertise in applications of artificial intelligence, Cloud, blockchain, and other technology innovations in business, across banking & insurance, retail, and public sector industries. His recent work includes leading the technology strategy on the Intelligent Autonomous Micro-aerial Vehicle Swarm for Disaster Prevention and Relief PoC project.

Milos Stankovic, PhD
Head of AI Science

Milos Stankovic earned his PhD at University of Illinois at Urbana-Champaign and has a broad international experience in research & development projects in the areas of control of multi-agent systems, machine learning and machine vision, drone swarms, and internet of things.

Milos is the head of the Intelligent Autonomous Micro-aerial Vehicle Swarm for Disaster Prevention and Relief PoC project, funded by the Republic of Serbia Innovation Fund, as well as the Decentralized Machine Learning Control of Intelligent Multi-Agent Dynamical Systems project funded by the Science Fund. Milos is a senior researcher at the University of Belgrade Innovation Centre, assistant professor at the Singidunum University in Belgrade, as well as a visiting professor at the Lusofona University in Lisbon.

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