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.

Which sensor types could Dibotics' 3D perception software process before its 2019 relaunch?

Dibotics processed 3D perception data originating from LiDAR, cameras, radars and sonars. Its approach pushed the boundaries of 3D perception through a unique data processing method that detected and classified objects in real time. The processing ran directly on the Dibotics chip and used a limited amount of computing power while still delivering enriched and precise information. This multi-sensor background became part of the software assets that Outsight inherited in 2019.

Which industry partners did Dibotics work with before its 2019 relaunch?

Dibotics attracted leaders in the automotive industry, both manufacturers and equipment suppliers. It established partnerships with key industry players including semiconductor leader Renesas, LiDAR manufacturer Velodyne and automotive supplier AGC. Its unique approach also seduced major players in the automotive, robotics and aeronautics industries on five continents. According to the announcement, this interest followed from its real-time processing, which mobilizes a limited amount of processing power while delivering enriched and precise information.

What awards did Dibotics win before its relaunch as a new company in 2019?

Dibotics' machine perception approach received numerous awards in the United States and France. In the US it was named among the 30 most Innovative companies to watch by Insight Success and among the 10 Fastest Growing Robotics Companies by The Silicon Review. In France it won recognitions including the Concours d'Innovation Numérique, iLAB, IE-Club 60, an innovation competition from ADEME and the GENERATE selection by GICAT. The same approach seduced major players in the automotive, robotics and aeronautics industries on five continents.

Where was the company based when it emerged from Dibotics in 2019?

When Dibotics became Outsight in July 2019, the new entity was based in Paris, San Francisco and Helsinki. The founders recruited top tier talent from around the world across these three locations. The company combined the software assets of Dibotics, founded in 2015, with a new 3D sensor technology. Its founding team brought together Raul Bravo and Olivier Garcia from Dibotics with Cédric Hutchings, co-founder of Withings, and Scott Buchter, co-founder of Lasersec and CTO of Outsight.

Why was Dibotics software combined with a new 3D sensor technology in 2019?

Outsight was created to combine the software assets of Dibotics with a new 3D sensor technology. The Dibotics founders, Raul Bravo and Olivier Garcia, joined Cédric Hutchings, who co-founded Withings, and Scott Buchter, a laser technology expert and Outsight's CTO. Their aim was to take Dibotics' real-time 3D perception one step further by adding new hardware and photonic modules. The goal was a quantum jump in perception and simultaneous understanding for Smart Machines, including autonomous vehicles.

Where was the technology first presented after the Dibotics transition in 2019?

Outsight planned to show the first applications of its technology at AutoSens, described in the announcement as the world Mecca of vehicle automation and self-driving cars. The company also planned to unveil its vision during a plenary keynote at the event. New hardware and photonic modules building on Dibotics' software were to be revealed there. AutoSens was already familiar ground, since the Dibotics founders had spoken at the conference before.

Which conferences did Dibotics founders Raul Bravo and Olivier Garcia speak at?

Raul Bravo and Olivier Garcia, the founders of Dibotics, spoke at many prestigious international conferences in the industry. These included AutoSens, IS Auto, ADAS Sensors, the Automotive LiDAR conference, the Autonomous Car Software Symposium, Cognitive Vehicles and Off-Road Autonomous Vehicles. Both are described as prominent experts on autonomous vehicles and robotics. Outsight later chose AutoSens to show the first applications of its technology and to unveil its vision during a plenary keynote.

How did the Dibotics chip process 3D data with limited computing power?

Dibotics processed information directly on its own chip, mobilizing only a limited amount of processing power while delivering enriched and precise information. Its approach did not use machine learning and required no learning data sets, while still enabling real-time detection and classification of objects. This processing covered data from LiDAR, cameras, radars or sonars. According to the announcement, this approach is why the company seduced leaders in the automotive industry, both manufacturers and equipment suppliers.

In which environments could Dibotics detect and classify objects in real time?

Dibotics' approach enabled real-time detection and classification of objects on the road, inside an airport or from a helicopter. It did so without the data sets needed to learn, since it did not rely on machine learning. The processing ran directly on the Dibotics chip with a limited amount of processing power. Dibotics, founded in 2015 by Raul Bravo and Olivier Garcia, was also a pioneer in mapping and robotic localization, known as 3D SLAM. In 2019 its founders joined Cédric Hutchings and Scott Buchter to create Outsight.

Insights

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.
Which sensor types could Dibotics' 3D perception software process before its 2019 relaunch?
Dibotics processed 3D perception data originating from LiDAR, cameras, radars and sonars. Its approach pushed the boundaries of 3D perception through a unique data processing method that detected and classified objects in real time. The processing ran directly on the Dibotics chip and used a limited amount of computing power while still delivering enriched and precise information. This multi-sensor background became part of the software assets that Outsight inherited in 2019.
Which industry partners did Dibotics work with before its 2019 relaunch?
Dibotics attracted leaders in the automotive industry, both manufacturers and equipment suppliers. It established partnerships with key industry players including semiconductor leader Renesas, LiDAR manufacturer Velodyne and automotive supplier AGC. Its unique approach also seduced major players in the automotive, robotics and aeronautics industries on five continents. According to the announcement, this interest followed from its real-time processing, which mobilizes a limited amount of processing power while delivering enriched and precise information.
What awards did Dibotics win before its relaunch as a new company in 2019?
Dibotics' machine perception approach received numerous awards in the United States and France. In the US it was named among the 30 most Innovative companies to watch by Insight Success and among the 10 Fastest Growing Robotics Companies by The Silicon Review. In France it won recognitions including the Concours d'Innovation Numérique, iLAB, IE-Club 60, an innovation competition from ADEME and the GENERATE selection by GICAT. The same approach seduced major players in the automotive, robotics and aeronautics industries on five continents.
Where was the company based when it emerged from Dibotics in 2019?
When Dibotics became Outsight in July 2019, the new entity was based in Paris, San Francisco and Helsinki. The founders recruited top tier talent from around the world across these three locations. The company combined the software assets of Dibotics, founded in 2015, with a new 3D sensor technology. Its founding team brought together Raul Bravo and Olivier Garcia from Dibotics with Cédric Hutchings, co-founder of Withings, and Scott Buchter, co-founder of Lasersec and CTO of Outsight.
Why was Dibotics software combined with a new 3D sensor technology in 2019?
Outsight was created to combine the software assets of Dibotics with a new 3D sensor technology. The Dibotics founders, Raul Bravo and Olivier Garcia, joined Cédric Hutchings, who co-founded Withings, and Scott Buchter, a laser technology expert and Outsight's CTO. Their aim was to take Dibotics' real-time 3D perception one step further by adding new hardware and photonic modules. The goal was a quantum jump in perception and simultaneous understanding for Smart Machines, including autonomous vehicles.
Where was the technology first presented after the Dibotics transition in 2019?
Outsight planned to show the first applications of its technology at AutoSens, described in the announcement as the world Mecca of vehicle automation and self-driving cars. The company also planned to unveil its vision during a plenary keynote at the event. New hardware and photonic modules building on Dibotics' software were to be revealed there. AutoSens was already familiar ground, since the Dibotics founders had spoken at the conference before.
What did "perception for Smart Machines" mean at the 2019 launch?
At its launch, Outsight described its mission as making a major breakthrough in the applications and perception of Smart Machines, a category that includes autonomous vehicles. The underlying Dibotics technology has the ability to better understand and anticipate the 3D environment in real time. Outsight planned to extend it with new hardware and photonic modules for a quantum jump in perception and simultaneous understanding. The company expected this breakthrough to have an impact on several industries.
Which conferences did Dibotics founders Raul Bravo and Olivier Garcia speak at?
Raul Bravo and Olivier Garcia, the founders of Dibotics, spoke at many prestigious international conferences in the industry. These included AutoSens, IS Auto, ADAS Sensors, the Automotive LiDAR conference, the Autonomous Car Software Symposium, Cognitive Vehicles and Off-Road Autonomous Vehicles. Both are described as prominent experts on autonomous vehicles and robotics. Outsight later chose AutoSens to show the first applications of its technology and to unveil its vision during a plenary keynote.
How did the Dibotics chip process 3D data with limited computing power?
Dibotics processed information directly on its own chip, mobilizing only a limited amount of processing power while delivering enriched and precise information. Its approach did not use machine learning and required no learning data sets, while still enabling real-time detection and classification of objects. This processing covered data from LiDAR, cameras, radars or sonars. According to the announcement, this approach is why the company seduced leaders in the automotive industry, both manufacturers and equipment suppliers.
In which environments could Dibotics detect and classify objects in real time?
Dibotics' approach enabled real-time detection and classification of objects on the road, inside an airport or from a helicopter. It did so without the data sets needed to learn, since it did not rely on machine learning. The processing ran directly on the Dibotics chip with a limited amount of processing power. Dibotics, founded in 2015 by Raul Bravo and Olivier Garcia, was also a pioneer in mapping and robotic localization, known as 3D SLAM. In 2019 its founders joined Cédric Hutchings and Scott Buchter to create Outsight.