Outsight joins EONA-X to develop collaboration and data innovation in European airports

Frequently Asked Questions

• What is EONA-X and what does it do for airport data sharing?

  EONA-X is a data space supported by the French government's France 2030 programme, designed to build a sovereign, trusted ecosystem for mobility and infrastructure players to share and combine operational datasets. It operates under a secure data governance framework aligned with European standards, meaning participant data stays within defined legal boundaries rather than flowing through proprietary commercial clouds. The goal is to create computable links between datasets that individual operators collect in isolation, so that cross-operator analysis becomes possible without compromising data sovereignty. Outsight joined EONA-X to contribute anonymised, infrastructure-derived spatial data to this ecosystem, connecting the real-time movement intelligence generated by its SHIFT platform at airport and transit deployments to broader cross-operator data collaboration efforts.

• What does a sovereign data governance framework mean in practice for airport operators sharing flow data?

  A sovereign data governance framework means participating organizations retain legal control over their data and share it only under contractually defined conditions, rather than pooling it into a centralized repository owned by a third party. For airport operators, this matters because passenger flow data, even when anonymous, is operationally sensitive: competitors, regulators, and concessionaires all have different rights of access. This dynamic is directly relevant to deployments like those built on Outsight's SHIFT platform, where 3D LiDAR-derived flow data is anonymous by definition yet still subject to strict access governance across the stakeholders who rely on it. A framework aligned with European standards gives operators a defensible audit trail for data use, which simplifies both internal compliance reviews and regulatory inquiries.

• How does combining physical flow data with other airport datasets create value that neither source has alone?

  Physical flow data captures where people actually are and how they move, but it carries no business context on its own. Flight schedule data knows when passengers should be at a gate but not where they are in the terminal. Retail point-of-sale data knows what was bought but not how many people walked past without entering. When these datasets are joined on a shared spatial and temporal reference, operators can answer questions like whether a gate boarding delay is caused by a security queue upstream, or whether low retail conversion correlates with poor dwell placement. Outsight's Motional Digital Twin provides that spatial and temporal backbone, turning anonymous 3D flow data into a common reference layer that airport datasets can align against, enabling analysis that is impossible from any single source alone.

• Why is centimeter-level accuracy important when digitizing passenger flow at a transportation hub?

  At the spatial resolution most airport analytics tools operate at, a person standing in a queue and a person walking past an adjacent lane look identical. Centimeter-level positional accuracy is what separates a genuine queue measurement from a density measurement. It also determines whether a near-miss between a passenger and a baggage vehicle is detected as a safety event or missed as two objects occupying the same coarse grid cell. Outsight's infrastructure-based LiDAR approach addresses this directly: by processing 3D point clouds rather than 2D video frames, the SHIFT platform resolves individual positions with the granularity needed to distinguish behavioral states rather than produce simple occupancy estimates. Without that resolution, downstream analytics remain surface-level, limiting the operational decisions an airport team can act on.

• What types of mobility players typically participate in a data-sharing ecosystem focused on European airports?

  European airport data ecosystems typically include airport operators, ground handlers, airlines, public transport authorities connecting the airport to city networks, taxi and ride-hailing aggregators, retail and food-and-beverage concessionaires, and border control or customs agencies. Each holds a fragment of the passenger journey: the airport operator sees terminal flow, the rail operator sees station-to-terminal transfer, the airline sees check-in and gate behavior. The value of a shared data space comes from stitching those fragments into a continuous journey picture without requiring any single participant to hand over its raw operational data to the others. Outsight participates in this kind of ecosystem by contributing anonymized, real-time 3D spatial data derived from infrastructure-mounted LiDAR sensors, the same approach deployed at airports such as Dallas Fort Worth and Paris-Charles de Gaulle, where terminal-level movement data feeds broader operational and passenger-flow analytics.

• Does joining a shared airport data ecosystem require replacing existing analytics infrastructure?

  No. A data space model is additive by design: each participant exposes defined data outputs through APIs under agreed governance terms, without dismantling internal systems. A platform already producing structured, event-based spatial data, such as occupancy counts, queue depths, and trajectory events, can connect to a shared data space by publishing those outputs in a standardized format. Outsight's SHIFT platform, for example, generates exactly this kind of anonymized, real-time spatial data across airport deployments including Paris-Charles de Gaulle and Rome Fiumicino, making it a natural fit for data space participation. The participant's existing dashboards, alerting pipelines, and historical data stores remain unchanged. The data space adds a layer for cross-organization joins rather than replacing any operator's internal analytics stack.

• Which French public programme supports the EONA-X mobility data space?

  EONA-X is a data space supported by the France 2030 programme. By joining it, Outsight partners with key players in mobility and infrastructure to accelerate data sharing and utilisation for more efficient, safer and more sustainable airports. The membership sits within a secure, sovereign data governance framework aligned with European standards. For Outsight, it is a way to bring physical flow data into a trusted ecosystem of European transportation hubs.

• When was membership in the EONA-X data ecosystem for European airports announced?

  Outsight announced its membership of EONA-X in April 2026. The move aims to accelerate the sharing and exploitation of physical flow data within European transportation hubs such as airports and train stations. Outsight described it as a natural step, since its Motional Digital Twins are already deployed in the world's largest international airports, train stations and venues. The membership opens the way to new data use cases among EONA-X members.

• What did EONA-X CEO Carles Telitsine say about the new member joining the data space?

  Carles Telitsine, CEO of EONA-X, described Outsight as one of France's greatest successes in the use of 3D technology, LiDAR and passenger flow tracking. He noted that Outsight was created in France and developed at Paris-Orly and CDG airports. He added that the company has established itself in the world's largest transportation hubs. EONA-X is a data space supported by the France 2030 programme, bringing together key players in mobility and infrastructure.

• What new type of data does the Physical AI platform add to the datasets shared by EONA-X airport members?

  Outsight brings a complementary and distinctive technological building block to EONA-X: the ability to digitise physical flows with centimetre-level accuracy, without capturing personal data. According to the announcement, this enriches members' existing datasets with a dimension that was previously absent, namely the actual movement of people in physical space. Raul Bravo, President Founder of Outsight, says the value of its Physical AI is multiplied when combined with other data sources. The collaboration paves the way for new data use cases among members.

• How does Raul Bravo describe the smart places EONA-X members aim to build together?

  Raul Bravo, President Founder of Outsight, describes EONA-X as a trusted, sovereign ecosystem where mobility and infrastructure players can collaborate to build the smart places of tomorrow. In his words, these places will be more efficient, safer and more passenger-friendly. He explains that the value of Outsight's Physical AI is multiplied when combined with other data sources, which is exactly the framework EONA-X offers. He is convinced the collaboration will benefit the entire ecosystem.

• How does joining EONA-X connect to the belief that physical intelligence will be as fundamental as connectivity?

  Outsight states that its membership of EONA-X is fully in line with its belief that real-time physical intelligence will become as fundamental to infrastructure operation as connectivity itself. Its Physical AI platform transforms 3D data captured by LiDAR into continuous, anonymous, real-time operational intelligence at scale. By joining EONA-X, Outsight aims to accelerate the sharing and exploitation of physical flow data within European transportation hubs. The data space operates within a secure, sovereign governance framework aligned with European standards.

• What outcomes for European airports is the EONA-X collaboration meant to deliver?

  By joining EONA-X, Outsight aims to accelerate data sharing and utilisation for more efficient, safer and more sustainable airports. Combining Outsight's real-time flow data with the datasets of other mobility and infrastructure players is expected to create new use cases among members. The collaboration also supports smart places that are more passenger-friendly. All of this happens within a secure, sovereign data governance framework aligned with European standards.

• Is the passenger flow data contributed to EONA-X anonymous?

  Yes. Outsight's Physical AI platform transforms 3D data captured by LiDAR into continuous, anonymous, real-time operational intelligence, and it digitises physical flows without capturing personal data. This is the data Outsight brings to the EONA-X ecosystem. The membership is also part of a secure, sovereign data governance framework aligned with European standards. Members can therefore enrich their datasets with real movement data while passengers remain anonymous.

• What does a Physical AI platform do for airports and train stations in the EONA-X context?

  Outsight is a French Physical AI company whose software uses 3D LiDAR sensors to digitise the real-time movements of people and vehicles across complex infrastructures. Its Physical AI platform turns this 3D data into continuous, anonymous, real-time operational intelligence at scale. Transportation hub operators such as airports and train stations gain unprecedented insight into passenger and vehicle movements across their infrastructure. Within EONA-X, this intelligence can be combined with other members' data.

• Where were Motional Digital Twins deployed when the company joined EONA-X?

  At the time Outsight joined EONA-X, its Motional Digital Twins were deployed in the world's largest international airports, train stations and venues, according to Raul Bravo, President Founder of Outsight. EONA-X CEO Carles Telitsine added that Outsight was developed at Paris-Orly and CDG airports before establishing itself in the world's largest transportation hubs. This operational base is what Outsight brings to the EONA-X data space, where its anonymous physical flow data can be combined with the datasets of other mobility and infrastructure players.