Nexar, a leader in AI-powered mobility solutions, has officially announced the launch of BADAS (Beyond ADAS), which happens to be a foundation model, capable of blazing a whole new trail when it comes to industry’s approach towards vehicle safety and autonomy.
According to certain reports, this particular innovation leverages the prowess of largest open dataset in regards to real-world driving events ever assembled, thus delivering measurable gains when it comes to incident prediction accuracy and behavioral foresight. Prepared to outperform traditional simulation‑backed models in critical safety benchmarks, the solution is also trained on Nexar’s unmatched real-world vision network which spans over 10 billion driven miles and 60 million annotated edge-case events captured through the company’s proprietary global sensor network of 350,000+ connected devices.
The underlying mechanism also arrives on the scene bearing an ability to anticipate what’s next on the road, not just react to what’s in view.
“This is a defining moment for Nexar and the future of mobility,” said Zach Greenberger, CEO of Nexar. “BADAS isn’t just a model—it’s a statement. It proves that the road to safety and autonomy runs through the real world. By building intelligence on top of our unmatched global data network, Nexar is now moving up the stack—from raw road data to deployable, safety-critical AI infrastructure.”
To understand the significance of the stated development, we must take into account that, even though automakers and tech companies have repeatedly promised that software and AI would reduce crashes and save lives, road safety continues to be a problem. You see, pedestrian deaths continue to rise, driver‑assist systems remain reactive, and autonomous vehicles are still confined to limited, geofenced zones.
Against that, Nexar’s latest brainchild makes it possible for every OEM, insurer, and fleet operator to train, validate, and deploy systems grounded in real‑world experience. In fact, the given technology archetype has already showcased state‑of‑the‑art performance in collision prediction and driver behavior modeling, establishing the new standard for building and validating mobility AI.
Talk about the whole value proposition on a slightly deeper level, we begin from its Crowdsourced Sensor Network, which houses hundreds of thousands of connected vehicles form Nexar’s distributed “eyes on the road” to generate continuous visibility into traffic, infrastructure, and safety events worldwide.
Next up, we must expand upon the technology’s Real‑World Data Engine. This translates to how Nexar’s proprietary annotation and processing pipeline transforms raw road video into structured intelligence that can be used to train, and at the same time, validate foundation models.
Another detail worth a mention is rooted in the availability of Predictive AI and Foundational Models. Thanks to these models, BADAS is able to anticipate risk and behavior seconds before it occurs. Such a mechanism, like you can guess, facilitates earlier interventions and safer systems across fleets, insurers, and cities.
Rounding up highlights would be an assortment of real-time. safety solutions that deploy APIs and SDKs to deliver live, ground-truth road intelligence, including crash alerts, work‑zone detection, and risk assessments, for mobility partners across the board.
Among other things, it ought to be acknowledged how Nexar has also created an interactive driving simulation space which allows users to realistically experience how the model anticipates and responds to real‑world scenarios in real time.
“For years, mobility AI has relied on approximations—limited data, closed environments, and controlled assumptions,” said Eran Shir, co-founder and Chief Product Officer at Nexar. “BADAS changes that. It’s built on the unpredictability of real streets, with the richness and diversity of behavior that simulation simply can’t replicate. This is what it takes to move from theoretical safety to real-world impact.”
