If you run a fleet, you already know the problem: video can be one of your best tools for safety, claims defense, and coaching—but it can also become a time sink. When something happens on the road, your team often has to chase down the details (which unit, which route, what time), wait for cloud processing, download footage, and then scrub through long stretches of video just to find the few seconds that matter.

Netradyne’s newly announced Video LiveSearch is designed to remove that friction by letting fleet teams search in-cab, road-facing video using natural language—across one vehicle or the entire fleet—in real time.

What’s new: natural-language search, running on the vehicle

The big shift is where the “intelligence” happens. Video LiveSearch is built on on-device edge AI, meaning the system can create searchable video directly on the vehicle instead of depending on cloud downloads before you can start finding the right footage. Netradyne says it can generate searchable video for virtually 100% of road-facing drive time and return top matches in seconds.

• “Request video → wait → download → hunt”
  to:
• “Search what you need → confirm the match → download only the clips that matter”

For busy safety and operations teams, that’s the difference between video being a “nice to have” and video being something you can actually use at scale.

Why it matters: faster situational awareness, better response

Netradyne frames the benefit as faster situational awareness—the ability to quickly understand what’s happening across operations so you can act sooner.

The release highlights how this can move fleets from reactive to proactive by:

• Giving teams near-instant visibility into where to look
• Allowing real-time search with a simple prompt across every vehicle
• Surfacing the most relevant before–during–after clips for context.

That “before–during–after” piece is underrated. Many events don’t make sense without context: what led up to the hard brake, what happened immediately after a merge, or whether a stop was caused by traffic, road conditions, or driver decision-making. Context is what makes coaching fair—and investigations faster.

Real fleet use cases (beyond crash review)

Netradyne explicitly calls out operational searches that go beyond crash response, including:

• School bus stop-arm compliance
• Commercial proof of service
• Cracked-windshield maintenance
• Claims support

That’s a useful lens for fleet owners and operators: the best safety technology doesn’t just respond to incidents—it helps you identify risk, maintenance issues, and service exceptions earlier, when they’re cheaper and easier to fix.

Two-speed AI: discover fast, operationalize with precision

Netradyne positions Video LiveSearch as part of a broader “Two-Speed AI” strategy:

• Exploration: broad semantic search to discover patterns and issues quickly
• Operationalization: high-precision models for coaching and safety-critical workflows

In other words, search helps you find what’s happening (and where you’re losing time or taking risk), and then you can turn the highest-impact findings into repeatable processes—coaching workflows, training focus areas, maintenance triggers, and policy improvements.

Responsible AI: protecting driver trust

Any fleet technology that adds visibility also has to protect trust. Netradyne states that LiveSearch includes an AI screening layer that evaluates prompts and rejects requests outside approved operational intent—specifically citing examples like identifying individuals or tracking license plates.

For fleets, that matters for culture and adoption. The strongest safety programs are the ones drivers participate in—because they believe the technology is there to help them get home safe, not to “gotcha” them.

What fleet leaders should do next

If you’re evaluating video telematics (or trying to get more value from what you already have), use this announcement as a checklist:

1. Measure your current video “time-to-clip.” How long does it take to find what you need today?
2. Define your top 3 operational searches. Maintenance? Proof of service? Near-miss coaching moments?
3. Build a repeatable process. Who searches, when, and what triggers the workflow?
4. Set clear guardrails. Make driver trust part of the program design from day one.

Technology is moving toward a future where fleets don’t just record events—they can search reality on demand. Video LiveSearch is a step in that direction.