Copyright: ThalesSource : Thales


AI x Collaborative Combat

Enhancing land forces operations with COBALT

This challenge is over, applications are closed

Challenge Overview

Description du challenge

COBALT, Thales' advanced collaborative combat system, is paving the way for real-time decision-making and communication on the battlefield. With technologically advanced enemies using AI, robotics, drones, and electronic warfare, land forces need to stay ahead of the curve to maintain their edge in the field. COBALT provides a set of services and decision-making aids that enable real-time collaboration for land forces, ensuring optimal efficiency and better outcomes in the face of new threats.
This combat system also aims to facilitate the elaboration of operational scenarios to validate our communication systems in order to test them synthetically in operational conditions.

Copyright: Thales
Copyright: Thales
Copyright: Thales
Copyright: Thales


We are looking for French and Canadian startups.

Experienced in

  • Course-of-action simulation comparison/validation
  • Computed generated forces
  • Knowledge of neural networks for generating realistic and diverse scenarios based on historical data and training objectives
  • Ability to integrate multiple data sources, including terrain data, weather data, historical data, electromagnetic data, to create realistic and challenging scenario
  • Knowledge of electronic warfare (EW) tactics and techniques, including electronic countermeasures (ECM) and electronic protection (EP)
  • Understanding of radio frequency (RF) propagation and how it affects communications and sensor systems

Expertise in

  • Military operations and symbiology
  • Terrain Generation
  • Natural Language Processing (NLP)
  • AI that defeats an enemy AI by skewing features / signals and can thus bias a model
  • Train military models with open source data
  • Multi-source data fusion of heterogeneous data in order to improve detection accuracy and reliability of intelligence gathered on the field
  • Correlate more information (OSINT, etc.) to enrich tracks / targets, e.g., find the probability that one track is the same as the one reported by another
  • Red force tracking capabilities thanks to Geospatial Information Systems (GIS) and geolocation technology for mapping and tracking enemy movements

Projects you could be working on

As part of the COBALT system, your company will develop cutting-edge simulation services to enable real-time collaboration for land forces. You will work with us to:

  • Examine warfighting concepts
  • Train and educate commanders and analysts
  • Explore scenarios
  • Assess how force planning and posture choices affect campaign outcomes
  • Analysis of the consequences and failures on the state of the system, to put the systems in the worst situations (degraded cases, failure cases, critical cases) in the generation of scenarios
  • Propose a distributed IT deployment model for delivering services and data to users in constraint environments (low-bandwidth, high latency...)

With your expertise in plan simulation, course-of-action simulation comparison/validation, and AI algorithms to generate models of enemy brigade behaviors, you will help us build a comprehensive solution that provides services to command and control tactical units, as well as to observe, protect, decide, and act. This solution should take into account the exploration of the consequences to identify the critical cases.
We want also our operational users to be able to make decisions quicker with the help of AI and be able to understand the reasoning behind a particular decision through natural language and/or reference to source data.
In addition, as AI is becoming more prevalent in our adversaries' systems, we need to equip our sensors/effector systems and decision-making systems with deception technology to deceive an AI adversary.
Moreover, we need to augment our detection capabilities with open source intelligence to enable multi-source data fusion of heterogeneous data, which will improve the detection accuracy and reliability of intelligence gathered on the field.
We are also interested in tracking and analyzing the movements and activities of enemy forces, transforming our sensor information into redforce tracking information, and then automatically proposed to be ingested into the system and shared by all units on the battlefield.