Netradyne is pushing fleet intelligence closer to the road—literally. The AI-powered fleet safety and performance company has launched Video LiveSearch, an industry-first capability that lets fleet managers search live video across every vehicle in real time using natural language prompts.

Unlike traditional fleet video workflows that depend on cloud uploads and manual digging, Video LiveSearch runs directly on the vehicle using edge AI. The result: near-instant access to the most relevant video moments, without waiting hours—or days—for footage to process.

For fleets that live and die by response time, that’s a meaningful shift.

From Reactive Investigations to Real-Time Awareness

Until now, most fleet video reviews followed a familiar pattern: an incident is reported, someone figures out which vehicle might be involved, cloud footage is requested, and teams sift through long timelines hoping they’ve guessed the right window.

That reactive model slows investigations and limits how proactively fleets can manage safety, compliance, and performance.

Video LiveSearch is designed to flip that dynamic. Fleet managers can type a simple, free-text query—such as a safety event, roadside condition, or operational scenario—and instantly see the most relevant before-during-after clips across a single vehicle or the entire fleet.

Instead of hunting for video, teams get immediate line-of-sight into where to look and what to pull.

Natural Language Search, Powered at the Edge

What makes Video LiveSearch different is where the intelligence lives. Netradyne processes and indexes nearly 100% of road-facing drive time directly on the vehicle, using its edge AI hardware.

Because the video is already searchable at the source, LiveSearch doesn’t have to wait for cloud processing to begin returning results. Searches complete in seconds, even across large fleets.

Every query surfaces the top matching clips, allowing teams to download only the footage that matters. The days of guessing vehicle IDs, timestamps, or trip details—and hoping for the best—are largely removed from the workflow.

According to Netradyne CEO and co-founder Avneesh Agrawal, this gives fleets “faster situational awareness to proactively understand what’s happening across their operations,” enabling quicker action and safer, more efficient outcomes.

Context-Aware AI That Understands the Road

Under the hood, Video LiveSearch relies on Netradyne’s context-aware edge intelligence, trained on real-world road scenes and driving behavior. The system doesn’t just match keywords—it interprets scenarios.

That allows a simple prompt to surface relevant video tied to operational and safety use cases such as school bus stop-arm compliance, proof of service, cracked windshield detection, or claims support. Crucially, it also delivers surrounding context, showing what happened before, during, and after the moment of interest.

This kind of semantic understanding is becoming increasingly important as fleets generate massive volumes of video data. Without smarter filtering, more cameras simply mean more noise.

Hardware as a Physical AI Sensor

Video LiveSearch is enabled by Netradyne’s D-810 device, which CTO and co-founder David Julian describes as turning each vehicle into an intelligent, multimodal sensor.

By combining video, AI reasoning, and on-device processing, the system can interpret what’s happening around drivers, vehicles, and passengers in real time. LiveSearch then makes that intelligence immediately accessible through search, rather than buried inside alerts or reports.

Netradyne frames this as a foundational step toward its broader Physical AI platform—technology that continuously interprets the physical world to support both rapid discovery and precision operations.

Two-Speed AI: Discover Fast, Act Precisely

Video LiveSearch also plays a central role in Netradyne’s “Two-Speed AI” strategy.

On one level, broad semantic search allows teams to quickly explore what’s happening across operations without waiting for new product features or rule-based models. On another, high-precision, domain-specific AI continues to power real-time coaching, safety alerts, and compliance workflows.

In practice, LiveSearch helps fleets identify where risks or inefficiencies exist, while more specialized AI systems handle enforcement and intervention. Discovery informs where deeper automation delivers the most value.

Responsible AI Built In, Not Bolted On

As AI-powered video search becomes more powerful, governance becomes harder to ignore. Netradyne says Video LiveSearch embeds responsible AI controls directly into its architecture.

An AI screening layer evaluates natural language prompts before they reach the edge reasoning engine, automatically blocking searches outside approved operational intent—such as identifying individuals or tracking license plates.

This design-first approach aims to preserve driver trust and prevent misuse by default, rather than relying on policy alone.

What It Means for Fleet Tech

Video LiveSearch reflects a broader trend in fleet and mobility technology: moving intelligence from the cloud to the edge to reduce latency, cost, and complexity.

As fleets scale and regulatory scrutiny increases, the ability to instantly surface the right evidence—without over-collecting or over-processing data—becomes a competitive advantage. Netradyne is betting that real-time, on-device search will be a key differentiator as fleet operators demand faster insights and tighter operational control.

For now, Video LiveSearch positions Netradyne at the forefront of what it calls Physical AI for fleets—where understanding the road, the vehicle, and the driver happens continuously, and insight is only a search away.

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