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FORT Robotics Acquires Mapless AI, Expanding Trust Platform With Active Safety Capabilities

Extends FORT from distributed control to supervised autonomy

By Work Safety 24/7 Staff 
June 1, 2026

FORT Robotics, a company that is building safety and security platforms for smart machines, announced the acquisition of Mapless AI, a Boston- and Pittsburgh-based leader in vehicle teleoperation and autonomy supervision.

FORT said that the acquisition represents a significant commercial expansion of FORT's Trust Platform, adding two critical new capabilities: remote human-in-the-loop teleoperation and onboard active safety.

From safe control to supervised autonomy

By integrating these technologies, FORT said that it has expanded its market offering from safety-certified machine control to a comprehensive architecture for supervised autonomy.

"The Physical AI market is a multi-billion-dollar economic engine, but its full potential can only be unlocked if machines are trustworthy enough to operate in real-world human environments," said Samuel Reeves, CEO of FORT Robotics. "The robotics industry is at a critical crossroads where impressive demos are everywhere, but scalability remains rare. Acquiring Mapless AI expands our platform to directly meet this vital need, allowing FORT to deliver the proactive safety frameworks our customers are asking for. We are building the foundational trust system to ensure that as robots become more autonomous, safety is an accelerator rather than a bottleneck.”

FORT said that the addition of Mapless AI's technology stack advances that foundation by introducing two major market offerings:

  • Human-in-the-Loop from Anywhere (Remote Teleoperation): The platform now enables remote teleoperation across long distances, enabling an off-site specialist to safely monitor and operate vehicles or machine systems from anywhere. This capability addresses a primary request that FORT said it has heard from enterprise fleet managers: the ability to maintain a reliable human-in-the-loop safety net for autonomous operations without placing workers in high-risk zones.
  • Onboard Active Safety (Environmental Sensing): The addition of onboard perception technology enables machines to actively detect, anticipate and respond to their environments in real time. This predictive approach allows autonomous vehicles to execute smart, real-time planning and contingency maneuvers, a meaningful leap beyond traditional reactive safety architectures.

By merging these capabilities, FORT said that the acquisition transitions the company’s platform into an intelligent, proactive system where autonomous machines can not only communicate safely, but also actively read their environments, anticipate potential hazards, and execute real-time operational decisions on the fly.

The company said that a single off-site operator can safely monitor and intervene across multiple vehicles from anywhere, completely decoupling human workers from high-risk environments while keeping meaningful oversight intact.

"We founded Mapless to build the core safety layer robots need to operate effectively in complex, real-world environments,” said Phillipp Robbel, co-founder of Mapless AI. “The reality is that for robots to work closely with humans and valuable infrastructure, they must be smart enough to understand and anticipate risk. Joining the FORT family allows us to bring our safety-first vision to a much larger platform, accelerating the type of products that will define the next decade of industrial automation and physical AI."

 

More about FORT Robotics

FORT Robotics is building safety and security platforms for smart machines. The company's stated mission is to unlock the full potential of automation by accelerating development, reducing risk, and building trust in autonomous systems.

Latest in FORT Robotics

Related Topics

Safety Products   Warehouse Machinery   Warehouse Vehicles   PPE   Wearable Monitors   Software & Technology   Control Systems   Robots   Software   Press Release   Acquisition   Autonomous Vehicles   FORT Robotics   Perception   Remote Monitoring   Robotics   All topics
 

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