Qsimai

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  • Email: info@qsimai.com
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"All Intelligence is collective Intelligence."
Michael Levin Dual bachelor's degrees in computer science and biology from Tufts University, and a Ph. D. in genetics from Harvard University

About Us

Qsimai is focused on leveraging AI technology to enhance Military Operations (MILOPS) while maintaining and improving the essential human element. Our vision positions AI as a reliable co-pilot, integrating seamlessly with human expertise to deliver advanced decision-assist capabilities that are data-driven and transparent, ensuring accountability in all operations.

Our mission is to overcome the limitations of traditional methods by transferring human “collective intelligence” into the digital domain, enabling the training of autonomous systems. Through innovative methodologies, we are developing heterogeneous autonomy swarms that incorporate adaptive strategies and combat behaviors reflective of human expertise.

As an OEM partner with Hexagon and a technology partner with Kinetica and Larus, we leverage these strategic collaborations to advance cutting-edge technologies and redefine the MILOPS landscape.

Products

Qsimai BVLOS

Airspace/Sea Awareness SW/HW platform, for Heterogeneous unmanned swarms with AI Collective Intelligence for BVLOS OPS

The Qsimai BVLOS platform is an advanced software/hardware solution designed to enhance safety, efficiency, and precision for BVLOS operations involving heterogeneous UAS swarms. Leveraging AI, machine learning, computer vision, and reinforcement learning, it delivers robust situational awareness, real-time monitoring, and sophisticated data analytics for optimal operational performance.

AIP4D

AIP4D leverages advanced AI algorithms to provide actionable intelligence and early warning in time-sensitive situations. These capabilities provide decision-makers with the insights needed to anticipate threats, allocate resources effectively, and maintain operational superiority in complex military environments. AIP4D integrates with NATO C2 systems and enables the delivery of actionable intelligence in time-sensitive situations by leveraging advanced AI analytics, multi-source data fusion, real-time visualization tools, and robust security measures.
Two key requirements must be addressed in every current C2 ecosystem: speed of action, and the ability to process and analyze vast volumes of complex data that could not have been perceived of in the past.

Technology

Collective Intelligence

Collective intelligence refers to the enhanced problem-solving and decision-making capabilities that emerge from the collaboration and interaction of multiple agents. In computational terms, it involves algorithms and systems designed to:

  1. Coordinate Actions
  2. Distributed Decision Making
  3. Adaptability and Learning
 

Heterogeneous Swarms

Swarms are brain of brains. Heterogeneous swarms consist of unmanned systems (such as drones, robots, etc.) with varying capabilities, sensors, and functions. In computational terms, this involves:

  1. Diversity Management
  2. Resource Allocation
  3. Communication Protocols

Unmanned Combat Autonomy

This aspect focuses on autonomous systems designed for combat operations. Computational considerations include:

  1. Autonomous Navigation
  2. Target Recognition and Engagement
  3. Mission Planning and Execution

Partners