Perceptive Automata

  • Machine Learning
  • 0 Case Studies
Understanding humans is the hardest problem for autonomous vehicles... ...we solved it.

Perceptive Automata was founded by a team of Harvard and MIT neuroscientists, computer vision researchers, software engineers, and machine learning experts to solve what is often described as the hardest problem for automated driving: reading the state of mind of humans for the safe large-scale rollout of automated vehicles (L2-L5).

We enable automated vehicles to better understand what people might do next so they can navigate safely around humans, including pedestrians, bicyclists, and motorists. Importantly, in addition to increased safety, we also enable a more natural and smooth human-like driving for autonomous vehicles.

This is essential for highly automated vehicles to be accepted into human-dominated road environments and also by passengers of robotaxi services. Without this capability highly automated vehicles will not function well enough for broad-scale real-world deployment.

Perceptive Automata has raised $20M from top-tier investors and is working out of its offices in Boston and Silicon Valley with OEMs, suppliers, and autonomous technology companies that are building or integrating ADAS and autonomous driving systems.

Company Details
  • https://www.perceptiveautomata.com/
  • Headquarters 230 Somerville Ave, Somerville, MA 02143
  • Other Locations 1250 Borregas Ave, Sunnyvale, CA 94089
  • Year Founded 2015
  • Current Funding $20M
  • Company Size 11-50 employees
  • Specialties Machine Learning, Robotics, Automation, Autonomous vehicles, Computer software, Transportation

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