Outsight recognised among top leading AI companies

Outsight has officially been included in the 2026 Mapping of AI Startups in France, a national initiative conducted with the support of Sopra Steria Ventures.

A structural layer in the French AI landscape

The 2026 Mapping brings together companies that are shaping the direction of artificial intelligence in France across research, foundational models, vertical applications, and infrastructure technologies.

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While much of the AI conversation focuses on language, audio or vision, Spatial AI introduces a fourth major data modality, 3D Spatial Intelligence. By processing continuous streams of native 3D data, Outsight digitises movement itself, in the physical world (aka Physical AI).

This capability creates an important operational layer for physical infrastructure. Through Motional Digital Twins, movement becomes structured, measurable, and decision-ready.

Infrastructure operations that were historically opaque become continuously observable and optimisable.

Being featured in the 2026 Mapping therefore recognises more than a technology. It acknowledges the emergence of Spatial Intelligence as a foundational component of next-generation infrastructure management.

Outsight’s inclusion appreciates both the technological leadership and the strategic relevance within France’s evolving AI ecosystem.

Highlighted during AI Day at Station F

The 2026 Mapping was presented during AI Day, held at Station F in partnership with PR[A]IRIE.

The event gathered approximately 2,000 leaders from across the technology and innovation ecosystem, including founders, CEOs, CTOs, investors, researchers, corporate leaders, and public decision-makers. With over 80 speakers, workshops, and investor meetings, AI Day provided a comprehensive view of where the French AI ecosystem stands today and where it is heading next.

Outsight is proud to stand alongside the most dynamic and forward-looking companies in the national landscape and further the Spatial Intelligence within the French AI ecosystem,” said President and Co-Founder, Raul Bravo.

France has been recognised as a global hub for artificial intelligence, with strong research institutions, venture backing, and increasing industrial deployment.

Through continuous individual tracking and analytics delivered within a unified 3D reference system, organisations gain clarity on flows, interactions, and operational performance at a level previously unattainable.

Inclusion in the 2026 Mapping confirms the recognition of Outsight’s contribution to this evolution and reinforces its position as a leading French software player in Spatial Intelligence.

Looking forward

This recognition follows a series of industry distinctions and continued international deployments.

It reflects the strength of Outsight’s teams and the growing adoption of Spatial Intelligence as foundational infrastructure for complex environments.

As the AI ecosystem continues to accelerate, Outsight remains focused on one objective: delivering operational, privacy-preserving Physical AI that enables organisations to run safer, more efficient, and smarter physical spaces at scale.

Frequently Asked Questions

What is the 2026 Mapping of AI Startups in France and how are companies selected?

The 2026 Mapping of AI Startups in France is a national initiative conducted with the support of Sopra Steria Ventures that identifies companies shaping the future of AI across research, foundational models, vertical applications, and infrastructure technologies. Selection recognizes production-grade AI deployments, not just research output or early-stage activity. The 2026 edition identified 1,113 startups, spanning multiple AI modalities and sectors, with Outsight representing the 3D spatial intelligence category applied to physical infrastructure.

What is AI Day at Station F and who attends?

AI Day is an annual event held at Station F in Paris, organized in partnership with PR[A]IRIE, one of France's priority research programs in artificial intelligence. The 2026 edition gathered approximately 2,000 participants, including founders, CTOs, investors, researchers, and public decision-makers, with over 80 speakers. It serves as the primary venue for presenting the annual AI startup mapping and for structuring dialogue between France's research institutions, venture capital community, and industrial AI deployments.

How does 3D spatial data differ from the other main AI data modalities?

Most AI systems process one of three established data modalities: language (text), audio, or 2D vision (images and video). Three-dimensional spatial data is a fourth, distinct modality: it encodes the exact position, shape, and motion of physical objects in continuous 3D space, rather than representing them as pixels or tokens. This distinction matters operationally because spatial data preserves metric geometry, allowing systems to measure real-world distances, volumes, and trajectories directly, without inferring them from 2D projections.

What does 'production-grade AI' mean in the context of infrastructure deployments?

Production-grade AI describes systems running continuously in live operational environments with real consequences, as opposed to pilots, sandboxes, or research prototypes. For infrastructure applications, it implies sub-50ms latency pipelines, 24/7 uptime requirements, integration with existing operational systems (such as flight schedule databases or building management platforms), and formal compliance with data protection regulations like GDPR. The distinction matters when evaluating vendors because many AI platforms demonstrate capability in controlled settings but have not been stress-tested at the scale and uptime demands of an airport or city intersection.

Why is France considered a significant market for infrastructure-focused AI companies?

France combines several conditions that favor infrastructure AI: strong public research institutions feeding applied AI development, a national policy emphasis on AI sovereignty, and concentrated infrastructure assets managed by large public-private operators such as Groupe ADP (airports), SNCF (rail), and major city transport authorities. These operators run high-throughput facilities where incremental efficiency gains have large financial consequences, creating a natural demand base for production AI applied to physical flow. The national AI mapping initiative reflects a deliberate effort to catalog and accelerate companies in this space before international competitors establish dominant positions.