Fortellix and Voxel51 Partner on Advanced 3D Reconstruction for Autonomous-Driving Training

11 December, 2025

The companies will convert raw drive logs into AI-generated 3D scenes to boost AV safety, coverage and validation

Israeli company Fortellix and U.S.-based Voxel51 have announced a new partnership aimed at accelerating the training and verification of autonomous-vehicle (AV) systems. Together, they are introducing an end-to-end workflow that transforms raw driving logs into editable, AI-generated 3D scenes that can be reconstructed, manipulated and deployed at scale in simulation environments. The collaboration leverages advanced neural-reconstruction techniques and visual-data processing to offer AV developers a powerful new tool for improving training, testing and validation workflows.

At the heart of the joint effort are drive logs—rich datasets collected from autonomous and semi-autonomous vehicles during real-world operation. These logs typically include video, lidar, radar, GPS, IMU measurements, vehicle-system status and annotated objects. For years, such logs have been indispensable for perception models, yet inherently limited: they capture only what actually occurred on the road. Fortellix and Voxel51 aim to convert these raw logs into full 3D reconstructions that can be expanded far beyond reality, enabling the creation of synthetic variations, edge cases and stress scenarios that cannot be consistently captured in physical testing.

In the joint workflow, Fortellix first classifies and analyzes the driving data, identifying coverage gaps relative to the vehicle’s ODD (operational design domain). Voxel51 then processes the raw inputs—cleaning noise, performing consistency checks, cross-sensor alignment and contextual interpretation—to prepare the material for AI reconstruction. Their combined pipeline draws on 3DGS capabilities and advanced rendering technologies to create realistic, editable 3D scenes. Fortellix then re-enters the loop, generating controlled variations of each scenario, modifying environmental elements, injecting external events and producing synthetic sensor data that mimics real-world output. The final stage is carried out in Voxel51’s visualization and analytics platform, ensuring that the mixed real-and-synthetic dataset meets rigorous quality standards for model training.

Voxel51, a major player in computer vision, is headquartered in Michigan and specializes in large-scale visual-data management. Its flagship product, FiftyOne, allows teams to deeply inspect sensor datasets, uncover labeling errors, assess data quality and detect hidden patterns. Combined with Fortellix’s expertise in AV scenario simulation, the partnership creates a seamless technological chain—from recorded reality to layered, simulation-ready virtual environments.

The implications are significant. Instead of relying solely on costly, months-long field testing that often misses rare events, AV developers can now synthesize edge cases on demand, recreate unusual incidents, tweak environmental parameters—lighting, weather, traffic—and slow down or accelerate events for analysis. For teams working on perception, planning and prediction algorithms, this represents a paradigm shift: hundreds of scenario variations can be generated from a single logged moment, exposing model weaknesses and enabling rapid iteration without sending another vehicle onto the road.

Beyond product development, the collaboration may influence how the AV industry approaches regulatory validation. Authorities increasingly require evidence of ODD coverage, robustness against edge cases and consistent behavior in complex scenarios. If real-world scenes can be faithfully reconstructed and expanded with controlled synthetic variations, validation could become more systematic, transparent and comprehensive.

Ultimately, the Fortellix–Voxel51 partnership reflects a sweeping industry trend: the shift from relying solely on raw real-world data to a blended model where rich virtual reality complements physical driving. Instead of learning only from what has happened, AV systems can now be tested against what could happen. For autonomous-driving developers, this promises higher safety, improved robustness and shorter development cycles—bringing the industry closer to vehicles that can reliably navigate the full complexity of the real world.

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Posted in: News

Posted in tags: AV , Fortellix , Voxel51

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