Autonomy 3.0 is a sampling problem, not a miles problem. INTRO Autonomous vehicles (AVs) and advanced driver-assistance systems (ADAS) don’t fail for lack of clever models or exotic sensors. They fail for lack of the right data—the rare, messy moments where safety hangs in the balance. We’
On August 28, 2025, at 00:25 UTC, internal monitoring systems detected anomalous activity. An investigation was initiated. This report outlines the findings and remediation steps for two identified security issues. 1. S3 Bucket Permission Vulnerability Timeline: * August 28, 2025, at 00:25 UTC: Anomaly in S3 access patterns detected.
Excited to join Nexar as CFO and be part of a team reshaping mobility and AI. With visionary leadership and the world’s largest open driving dataset, Nexar is transforming safety, infrastructure, and autonomy. The future is here—and we’re building it.
The Data Gap Holding AI Models Back and how Nexar's Rare Events Dataset Can Help The Power of Dashcam Footage in Road Safety Every day, millions of dashcams silently record the vast and unpredictable world of driving. From routine commutes to near-miss accidents to catastrophic collisions, these devices
With the increased number of bicycle, pedestrian and motorcycle accidents and fatalities over the years – upwards of tens of thousands a year by the most recent estimates (keyword: estimates) – enhancing road safety has never been more critical. This morning, Waymo released new research leveraging our data and insights to better
Discover why I’m thrilled to lead Enterprise Growth at Nexar, where we're transforming the automotive and mobility industries with AI-powered dash cams and a vast network of real-time video data.
As we sail through the vast technological oceans of 2023, decision-makers across the globe are contemplating how the formidable blend of generative AI and big data is instigating a revolution in the automotive sector. Today, we’re retracing the incredible progress made in the domains of big data, deep learning,
Based on Nexar's extensive network of dash cams equipped with motion sensors and edge-AI, our research created detailed and constantly updating behavioral maps. As cars become increasingly automated, they often struggle when their expectations based on maps don’t match the hard reality of the road. At Nexar,
The cost of making maps in real time is dropping rapidly, thanks to a new generation of crowdsourcing and edge AI technologies. These technologies enable connected vehicles and dash cams to create fresh data-rich maps automatically from the road without human intervention. In this essay, we'll take a
Insurers can no longer afford to be blind at the scene. Video telematics turns uncertainty into evidence, streamlining claims, reducing fraud, and enhancing underwriting. Nexar delivers real-time, AI-powered insights to help insurers act more quickly and effectively.
Nexar and HAAS Alert have joined forces to bring faster, image-verified V2X alerts to vehicles. This will enable real-time, AI-driven safety communications that are not just fast but trusted. It's not just alerts anymore—it’s verified, actionable insights for safer, smarter roads.
Last month, we asked: Can AI models truly grasp real-world driving incidents? With Nexar’s sensor-enriched dashcam videos, the feedback was overwhelming. Now, our updated benchmark features Gemini 2.5 Pro—a “thinking model” from Google DeepMind. Discover fresh insights into its performance.
0:00 /0:05 1× Do you remember the days when you drove on a trip with a spouse or a friend sitting next to you, nose-deep in a map book or a mapquest printout, trying to figure out where you were, stopping strangers on the road to ask for
The transportation industry is currently facing significant challenges related to insurance costs, collisions, and nuclear verdicts, which are having a profound impact on the industry as a whole. As a result, ensuring driver safety has become more crucial than ever before for fleet operators. At Nexar, we are constantly looking
Nexar and Spectrum join forces to fast-track the expansion of real-world mobility intelligence.
The Nexar Crash Prediction Challenge attracted remarkable global participation, with 282 team participants and 1,625 submissions.
The Nexar Crash Prediction Challenge is live! Using 1,500 real-world driving videos, we’re inviting the global AI community to predict collisions before they happen. Help us push the boundaries of AI for safer, smarter mobility.
“Optimism is a happiness magnet. If you stay positive, good things and good people will be drawn to you.” - Mary Lou Retton I’ve always aimed to live my life this way. I look around and am often in awe of all of the amazing people surrounding me who
Picture this: you're on the cusp of a journey. Maybe you're heading home from a long day at work or perhaps you're embarking on a cross-country road trip. Your vehicle is equipped with a real-time mapping layer. The future of transportation is quite literally
Nexar is now collaborating with Flywheel, the nation’s leading e-hail platform for taxis, to bring our connected vehicle technology to thousands of taxis across the United States and beyond.
Safety comes first when a driver is involved in an incident, but the aftermath can be challenging. Despite most truck-car accidents caused by passenger vehicles, drivers often struggle to prove their innocence. Our AI-powered dashcams provide clear evidence to protect drivers and simplify claims.
Women in rideshare keep cities moving but face safety challenges that hold them back. At Nexar, we believe no driver—especially no woman—should feel unsafe while working. This International Women’s Day, let’s push for safer, more inclusive mobility.
Nexar is a leading AI vision company paving the way for a safer, more efficient driving experience. At the heart of our mission is to improve road safety, harnessing the power of advanced technology together with a comprehensive network of connected cameras on the road. We understand the transformative impact
Maps are becoming outdated, as the traditional method of manual curation and editing is just not feasible - especially for ADAS and AVs. It's time for a change in the paradigm and for live maps to help the driving task. The maps of yesteryear are dead. The purpose