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Dibotics rebrands as Outsight, marking a new chapter in 3D LiDAR innovation and real-time spatial intelligence.

Dibotics Becomes Outsight

Since 2015, Dibotics, a pioneer in Smart Machine perception. Today, the company enters a new phase. Its founders join Cédric Hutchings (co-founder of Withings) and Scott Buchter (co-founder of Lasersec) to create a new entity, Outsight, based in Paris, San Francisco and Helsinki.

PARIS–(BUSINESS WIRE)—Since 2015, DIBOTICS, a pioneer in Smart Machine perception, has developed real-time processing solutions for 3D data.*

Unlike “Machine Learning” approaches, the processing does not require any learning data and mobilizes limited calculation resources while delivering enriched and precise information.

The two co-founders of Dibotics, Raul Bravo and Olivier Garcia, are prominent experts on Autonomous Vehicles and Robotics. They have spoken at the most prestigious international conferences in the industry. Their unique approach received numerous awards and seduced major players in the Automotive, Robotics and Aeronautics Industries in five continents.

Today, the company enters a new phase. Its founders join Cédric Hutchings (co-founder of Withings) and Scott Buchter (co-founder of Lasersec) to create a new entity, Outsight, based in Paris, San Francisco and Helsinki.

This new entity aims to combine the software assets of Dibotics with a new and revolutionary 3D sensor technology.

Founded in 2015 by Raul Bravo and Olivier Garcia, Dibotics is a pioneer in mapping and robotic localization solutions, also known as 3D SLAM (Simultaneous Localization and Mapping). Dibotics pushes the boundaries of 3D perception thanks to a unique data processing originating from Lidar, Cameras, Radars or Sonars.

Its disruptive approach that does not use “Machine Learning” enables detection and classification of objects in real-time, without the data sets needed to “learn”, whether it is on the road, inside an airport or from a helicopter.

The information is processed directly by the Dibotics chip and only mobilizes a limited amount of processing power, but still delivers enriched and precise information.

The company has therefore seduced leaders in the automotive industry, manufacturers as well as equipment suppliers, and established partnerships with key industry players such as semiconductors leader Renesas, LIDARs manufacturer Velodyne and automotive supplier AGC.

Its unique approach of machine perception received numerous awards in the US (“30 most Innovative companies to watch” from Insight Success, “10 Fastest Growing Robotics Companies” by The Silicon Review) and in France (​_Concours d’Innovation Numérique_, iLAB, IE-Club 60, Concours de d’Innovation from l’ADEME and Séléction GENERATE by GICAT among others).

Raul and Oliver, prominent experts, have spoken at several prestigious conferences including AutoSens, IS Auto, ADAS Sensors, Automotive LiDAR conference, Autonomous Car Software Symposium, Cognitive Vehicles, Off-Road Autonomous Vehicles and many others.

Dibotics technologies have the ability to better understand and anticipate the 3D environment in real time. The already revolutionary technology of Dibotics is now taking one step further with Outsight notably by adding new hardware and photonic modules, which will be unveiled at Autosens.

Outsight will make a quantum jump in perception and simultaneous understanding for “Smart Machines”, including autonomous vehicles.

Outsight will show the first applications of its technology at AutoSens, the world Mecca of vehicle automation and self-driving cars, and unveil the company’s vision during a plenary Keynote.

The founders of Dibotics are entrepreneurs, pioneers and experts with emblematic backgrounds. Raul Bravo, president of Outsight received his engineering degree at UPC Barcelona and MBA at Collège des Ingénieurs in France. He is a serial entrepreneur and was listed as one of the Top 10 Innovators on MIT’s Technology Review List under 35 and created several well-known companies in autonomous driving, developed the first robotic forklifts for warehouses, created hundreds of jobs, raised more than $125 million and took one of his companies through an IPO.

Olivier Garcia, also an engineering graduate of UPC Barcelona and graduate of Paris VI University is one of the world’s leading experts in robotic algorithms, mainly for mapping and robotic localization solutions (3D SLAM). After working as a researcher at INRIA and Thales, he co-founded WifiBot (sold to Nexter) and developed several technologically foundational bases that today are used for autonomous vehicles (such as Navya/Induct), robotics (like Balyo) and more recently Dibotics with Raul.

Dibotics now enters a new phase by becoming Outsight. Raul and Olivier joined two entrepreneurs and complementary experts: Cédric Hutchings and Scott Buchter. With this new team Outsight will combine active software from Dibotics with revolutionary 3D sensor technology.

Cédric Hutchings studied engineering at Centrale Supélec Paris for his undergrad and attended MIT for his masters. He was vice-president of Nokia Technologies and the co-founder and CEO of Withings which he developed since its creation into an internationally recognized innovations company.

Dr. Scott Buchter, CTO of Outsight, is an expert in laser technology. He was formerly an MIT Lincoln Laboratory scientist and has published more than 50 papers and conference proceedings. He founded several companies which pushed the boundaries of laser development and the technology has been adopted by major industry players.

The Outsight founders have recruited top tier talent from around the world based in Paris, Helsinki and San Francisco.

Outsight aims to make a major breakthrough in applications and the perception of “Smart Machines” which will have an impact on several industries.

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Frequently Asked Questions

  • What is 3D SLAM and why does it matter for infrastructure tracking?

    3D SLAM (Simultaneous Localization and Mapping) is a technique that lets a system build a spatial map of its environment while tracking its position within that map, in real time, without pre-loaded maps or GPS. In infrastructure deployments, SLAM-derived algorithms underpin the ability to stitch data from many fixed sensors into one coherent site-wide 3D model, assigning persistent coordinates to every moving entity across a space that may span hundreds of meters. Outsight's roots in this discipline trace directly to Dibotics, a pioneer in Smart Machine perception founded in 2015, whose SLAM expertise became the technical foundation for the Motional Digital Twin: a real-time, anonymous 3D replica of how people, vehicles, and robots move through a physical site, built entirely from infrastructure-mounted LiDAR rather than sensors carried by the moving entities themselves.

  • Does Outsight's perception pipeline rely on machine learning training data?

    The core processing lineage inherited from Dibotics was specifically designed to detect and classify objects in real time without requiring labeled training datasets. Rather than pattern-matching against learned examples, the approach reasons from the geometric and kinematic properties of 3D point clouds directly. Outsight carries this principle forward in its SHIFT platform, which deploys the same training-free perception logic across diverse environments, from airport terminals like Dallas Fort Worth and Paris-Charles de Gaulle to BMW factory floors and smart-city intersections, without site-specific retraining. The result is a system that generalizes to new physical contexts through geometry and motion reasoning alone.

  • What industries used LiDAR-based 3D perception before airports and smart cities adopted it?

    Automotive, industrial robotics, and aeronautics were the earliest commercial adopters of real-time 3D LiDAR perception. The first production use cases included autonomous forklifts in warehouses, robotic localization in manufacturing, and sensor fusion on prototype autonomous road vehicles. Infrastructure applications such as passenger flow tracking and intersection safety monitoring came later, once the underlying algorithms proved reliable enough in uncontrolled, multi-entity outdoor and public-space environments. Outsight traces its LiDAR software roots directly to that earlier industrial and robotics era, and today applies the same perception foundations at infrastructure scale, with deployments spanning airports such as Dallas Fort Worth, BMW factories, and smart-city intersections in Bellevue.

  • Why is processing 3D LiDAR data on limited hardware significant?

    LiDAR sensors generate hundreds of thousands to millions of 3D points per second per unit. Running perception on that volume in real time has historically required substantial compute, which raised cost and power budgets for edge deployments. Architectures that deliver detection and classification while consuming modest processing resources make it practical to deploy preprocessing at the sensor edge, reducing the bandwidth and latency burden on central cloud infrastructure and enabling cost-effective coverage across large sites with many sensors. Outsight addresses this directly through a sub-50ms end-to-end pipeline designed to run on infrastructure-deployed hardware, a capability that underpins deployments such as Dallas Fort Worth Airport, where the SHIFT platform processes 3D LiDAR data across one of the largest sensor networks of its kind without relying on centralized cloud compute for real-time decisions.