Verified Data For Physical AI
Deepen Refinery’s expanding collection of real-world sensor data now includes this new offering, which supports progress in autonomous vehicles, robotics and Physical AI.
ROVR delivers substantial scale and broad geographic reach in real-world multimodal driving data, while Refinery contributes the infrastructure surrounding that data for teams developing autonomous and intelligent systems.”— Mohammad Musa, CEO of Deepen AISANTA CLARA, CA, UNITED STATES, October 5, 2026 /EINPresswire.com/ — Deepen AI has announced that ROVR’s real-world multimodal driving data can now be accessed through Deepen Refinery, the company’s neutral marketplace for verified data that powers autonomous vehicles, robotics and other Physical AI applications.
Securing large quantities of sensor data is just one aspect of the Physical AI data challenge. AI teams must also understand what data they are receiving, its origins, whether it aligns with their specifications, and the speed at which it can be integrated into their development processes. Pairing ROVR’s large-scale real-world data gathering strengths with Deepen’s data infrastructure gives developers access to sensor data through a pipeline tailored specifically for Physical AI development.
ROVR’s automotive dataset features high-precision, forward-facing LiDAR and camera information, with every ROS2 bag containing LiDAR, imagery, IMU and GNSS data, along with calibration parameters. The dataset covers driving conditions across the Americas, Europe and Asia, offering more than 90,000 hours of data, and the underlying data pool is regularly updated as new information is gathered.
Within Deepen Refinery, datasets are not just listed in a marketplace. Deepen’s data infrastructure supports cataloguing, structuring, enrichment, validation and improved discoverability and evaluation of datasets, all while preserving details about data provenance and attributes.
For developers, this translates to less effort spent hunting for, assessing and organizing scattered datasets and more time dedicated to model development. For data contributors like ROVR, Refinery offers a pathway to expose high-quality datasets to a wider community of AI developers and enterprises.
“Physical AI teams don't just need more data, they need data they can understand, trust and actually use,” said Mohammad Musa, Co-Founder and CEO, Deepen AI. “ROVR brings significant scale and geographic diversity in real-world multimodal driving data. Deepen Refinery adds the infrastructure around that data, helping transform a valuable dataset into an accessible resource for teams building autonomous and intelligent systems.”
Deepen Refinery was created around the principle that the Physical AI ecosystem requires a more streamlined link between data generation and AI development.
The platform unites data from specialized contributors and simplifies the process for AI teams to pinpoint datasets based on criteria such as modality, geography, environment and application. Data can then be prepared and delivered in formats suited to contemporary AI and robotics workflows, including ROS2, MCAP, HDF5, nuScenes and LeRobot.
Refinery also lays the groundwork for data validation and quality evaluation, assisting teams in grasping the characteristics and fit of datasets before they are integrated into development pipelines.
This approach delivers advantages on both sides of the marketplace:
– For data contributors: a route to generate revenue from real-world data without needing to create and manage their own distribution systems.
– For AI developers: a single hub for finding and accessing data from various contributors, with enhanced insight into provenance, characteristics and quality.
– For Physical AI development: a more direct path from real-world data collection to model training, evaluation and deployment.
“ROVR has focused on building the infrastructure to capture high-quality representations of the physical world at scale,” said Gary Ling, Co-Founder, ROVR Network. “Deepen Refinery complements that work by providing the infrastructure to make this data accessible to the broader AI ecosystem. We are excited to make ROVR data available to teams building the next generation of autonomous vehicles, robotics and Physical AI.”
As autonomous vehicles, robots and other intelligent systems grow more advanced, the need for varied and representative real-world data keeps rising. However, the data ecosystem remains disjointed, with valuable datasets spread across individual firms, research institutions and specialized data suppliers.
Deepen Refinery is intended to function as a neutral data layer that links these data sources with the organizations developing Physical AI.
About Deepen AI
Deepen AI is constructing the verified data infrastructure for Physical AI. Its platform integrates data capture, calibration, curation, annotation and validation to support organizations in creating safer and more dependable autonomous vehicles, robotics and other intelligent physical systems.
Deepen Refinery serves as Deepen AI’s neutral marketplace for Physical AI data, linking data contributors with organizations developing autonomous vehicles, robotics and other intelligent systems. Refinery allows teams to discover, evaluate, validate and access real-world datasets while preserving visibility into data provenance and characteristics.
Learn more at www.deepen.ai/refinery
About ROVR Network
ROVR is developing infrastructure for high-definition 3D data and Spatial AI. Its platform merges specialized data-collection hardware with a worldwide network for capturing and processing real-world spatial data for uses such as autonomous driving, robotics, mapping and AI.
ROVR’s LightCone platform combines automotive-grade LiDAR, high-resolution cameras and high-precision positioning systems to capture detailed representations of the physical world.
Learn more at www.rovr.network.
Mohammad Musa
Deepen AI
+1 650-560-7130
info@deepen.ai
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