Samsara enters 'the age of intelligence' - why its new hardware, network-powered safety features and AI operations matter

At Samsara's annual Beyond conference in San Diego this week, CEO Sanjit Biswas announced "the age of intelligence" for the vendor's customers - where the operational data flowing through its platform is going to be used at scale to introduce new AI-powered features and tools that utilize anonymized data from across the Samsara Network.

The announcements mark an evolution for the company, which has spent the past decade building what it describes as the "Connected Operations Platform" for organizations that depend on physical operations. In short, Samsara has targeted industries where pen-and-paper processes and manual workflows have persisted - sectors that Biswas has previously noted "didn't have to squint" to see Return on Investment (ROI) from connected operations technology.

Since its founding, Samsara has positioned itself as addressing a market that had been largely ignored by enterprise technology providers. Organizations managing fleets, construction sites, manufacturing facilities, and field services operations have historically been forced to cobble together multiple systems or rely on manual processes to manage their physical assets and workflows. Samsara's approach has been to provide an integrated platform that connects vehicles, equipment, and workers to digital systems, creating what the company calls "the Enterprise Resource Planning (ERP) platform for the physical world."

The company has achieved significant scale in this approach, with its Connected Operations Cloud now processing 120 billion Application Programming Interface (API) calls and 14 trillion data points. This data foundation - representing everything from vehicle telematics to AI-enabled dash cam footage across hundreds of thousands of connected assets - has become the basis for what Biswas now characterizes as an entirely new phase of the company's development.

Today Samsara has unveiled more than a dozen new AI solutions at its annual user conference. Central to these developments is the company's new "Street Sense" capability, which harnesses the collective intelligence of millions of Samsara-connected vehicles to provide near real-time weather and road condition visibility across vast geographic areas. Speaking at the keynote this morning, Biswas says:

We've entered the age of intelligence, and AI is helping our customers operate smarter. We're partnering with our customers to build products that help them run safer, more efficient operations and protect frontline workers while saving millions of dollars.

The announcements are an expansion of Samsara's safety-first value proposition, introducing features that make use of the vendor's 14 trillion data points from connected operations worldwide. From AI-powered vehicle maintenance management to worker safety wearables, the product updates signal Samsara's ambition to become the definitive system of record for physical operations - with safety as the core use case.

Enhanced safety through data scale

As we've noted previously, Samsara is one of the few Internet-of-Things vendors to actually find a use case (safety) that has translated into a sustainable customer base.

Building on this, the company announced today its new AI Multi-Cam system, which provides 360-degree visibility around commercial vehicles while using Artificial Intelligence to identify pedestrians, cyclists, and other potential collision risks in real-time.

The AI Multi-Cam includes four additional High Definition (HD) cameras that provide a complete view around the vehicle, all accessible through an in-cab monitor. The system actively notifies drivers in real-time of hazards such as pedestrians and cyclists, working with both Samsara cameras and third-party devices. Administrators can retrieve historic video footage and corresponding audio to help quickly resolve incidents.

Johan Land, Samsara's Senior Vice President of Product and Engineering, demonstrated how the system can track pedestrians moving around a vehicle, with AI-generated alerts warning drivers of potential dangers. During a live demonstration showing a cyclist appearing in a truck's blind spot, he explains:

The AI understood what was happening and alerted the driver.

The company's approach to contextual AI represents a departure from simpler safety monitoring systems. Rather than simply flagging harsh braking events, the platform now analyzes the circumstances surrounding such incidents. During one demonstration, the AI correctly identified a driver's sharp braking as "defensive driving" to avoid a pedestrian, actually improving the driver's safety score rather than penalizing them. Land notes:

This driver's safety score will go up, not down.

Samsara has also introduced Safety Coaching for Lean Teams, which uses AI to analyze hundreds of risky driving events, considering factors like severity, frequency, road conditions, and total drive time. The system automatically sends low-risk behaviors to drivers for self-coaching and escalates higher-risk events to managers. The AI provides insight into behavioral trends across drivers and trips, allowing managers to coach based on driving patterns rather than isolated incidents.

Weather intelligence and network effects

Samsara has also added a new Weather Intelligence feature, which provides a comprehensive approach to weather-related operational challenges. The system overlays real-time weather data from the National Weather Service onto existing dashboards, allowing administrators to view and alert workers of imminent threats such as fire risks and heavy rain.

For the past few years Samsara has been building out its connected network, installing cameras and other internet-enabled devices across physical operations and fleets. This has enabled the vendor to now make use of the data coming from the network as a whole, rather than just focusing on companies at an individual level. For example, Samsara's new Street Sense tool uses anonymized imagery from millions of connected dash cameras to provide real-time visibility into weather conditions and road hazards. The system strips personally identifiable information from camera feeds while aggregating visual data to show what's happening across operational areas. Chief Product Officer Kiren Sekar says during his demonstration:

We went from a radar view to Public Alerts to our cameras visibility to this collective Street Sense network. Now we know what's happening everywhere.

During the keynote, Samsara showed near real-time images from across a flood watch zone in Texas, with timestamps showing updates from just seconds earlier. The system can compose messages for drivers based on weather alerts, with AI summarizing National Weather Service information into short messages that can be sent through push notifications or played as audio messages through dash camera speakers.

Worker safety beyond vehicles

On the hardware front, and building on the Asset Tag product launched last year, the vendor has today introduced Samsara Wearable - a connected device designed to protect frontline workers outside of vehicles. The device is capable of more than one year of battery life, achieved by using the Samsara network of devices rather than cellular connectivity (again showing how the network is proving central to the company's expanding features). The wearable includes one-click protection that connects workers to emergency services, providing precise location data and real-time audio recording of situations.

The device also includes fall detection capabilities that can automatically detect and respond to falls in situations such as slips on icy sidewalks or falls from heights like scaffolding or cranes. Fleet managers can proactively check in on workers and alert them of unsafe conditions through push notifications to the device during severe weather or wildfire situations. Biswas explains:

Instead of trying to send a signal back to the cellular network, which takes a lot of energy, we send a signal to the Samsara network. It's protecting you all and your frontline in their operations, wherever they are.

Elsewhere, Samsara has also introduced end-to-end maintenance management capabilities directly within its platform. The system includes AI-enhanced Driver Vehicle Inspection Reports (DVIRs) that allow drivers to convert inspection notes from voice to text automatically. Managers can now ensure reports are properly completed by viewing drivers' walkaround paths, inspection duration, and quality of report photos (in an attempt to stop drivers trying to bypass the system).

The platform triggers real-time alerts for missing DVIRs, monitors Federal Motor Carrier Safety Administration data, reviews inspection results and violations, and audits driver behavior. Fault Code Intelligence automatically deciphers vehicle fault codes and uses AI to create maintenance work orders, while AI invoice scanning helps upload external vendor invoices into the platform.

Level Monitoring provides near real-time visibility into levels across various tank types, with the aim of improving tank utilization and inventory optimization. The system's ability to look ahead and recommend bundling maintenance tasks demonstrates the kind of operational intelligence that becomes possible with Samsara's extensive data collection. Sekar notes:

These fault codes, unless you're a really experienced mechanic, can be really hard to understand. This is another great application for AI.

Samsara also announced its new Route Planning capability, which integrates with fleet operators' sales systems to identify the most efficient routes and delivery schedules. The system considers variables like vehicle limitations, compliance requirements for drivers, customer delivery windows, and traffic and weather patterns to stay within promised delivery windows and avoid unnecessary fuel usage. Early Samsara data suggests a 15 percent reduction in the number of vehicles required for deliveries - and is being positioned as 'enterprise ready' (the implication being that it provides information that you simply can't get from Google Maps).

Commercial Navigation overlays fleet-specific restrictions like weight, height and hazmat directly onto standard digital maps to provide accurate turn-by-turn directions. By combining this with information such as hours-of-service within the Samsara Driver App, drivers can access what they need in a single location to remain compliant and on time.

Home Depot case study: Real-world validation

The Home Depot was speaking on stage this week, outlining its experience with Samsara and how its safety technologies translate into measurable business outcomes. Kathleen Eaton, Vice President of Safety, Energy & Building Services at The Home Depot, described the company's journey with Samsara's technology across its fleet of thousands of drivers in delivery and technician roles. She says:

Since inception: [we've had an] 80 percent reduction in accidents on the delivery side of our business, and over a 60 percent reduction in overall claims with our technicians. Those are real dollars and cents, and we are a self-insured company, so eventually that turns into cash flow, and that cash flow can either go back to the bottom line or it gives me the ability to say I would like some of that savings back so I can continue to invest in tools and technologies that will help keep us safe.

The Home Depot has been testing Samsara's worker safety wearable technology, recognizing that many of their drivers are also lone workers operating in uncontrolled environments. Eaton explains:

We don't control the weather, we don't control the job sites that they're going to or the construction sites that they're at, and we certainly don't control the environment of the customer's home where they're going to make a delivery or do some sort of installation.

The psychological safety aspect of the technology has proven particularly valuable:

There's a psychological safety associated with somebody knowing where I am, when I should be there, they can do a check-in, I can do a check-in back.

The company's approach to driver safety has evolved beyond just preventing accidents to fundamentally changing driver behavior both on and off the job. Eaton says:

They say that a picture is worth 1,000 words; a video is worth about 10,000 words when you are impacting behavior. It's been really incredible to see our associates simply become better drivers behind the wheel, and that is everything from them being more aware of their own behavior, but also aware of all of the behavior of the people that they're sharing the roadway with.

My take

Today it was clear that Samsara views itself as still being in the early stages of its transformation of physical operations. While the company has achieved significant scale - recently crossing $1.5 billion in Annual Recurring Revenue (ARR) - the total addressable market for connected operations remains largely untapped. Biswas concluded in his keynote remarks:

"We see it helping keep everyone safe. We see it helping make operations more efficient, a little bit easier every single day. We want to make every part of your operations even smarter, and these technologies are helping improve safety and efficiency at scale."

There is still more to do before Samsara can fully claim to be 'the system of record for physical operations', particularly as it expands beyond safety use cases into areas beyond fleet management (we want to see more use cases on that front). However, I've spoken to customers who are excited about the additional asset tracking capabilities being pushed by the vendor and they have all commented on how Samsara works closely with them to build out features. The workflow technology and some of the agentic AI features are coming along, but these will likely be expanded as more data flows into the system.

However, for an industry that has historically been underserved by technology innovation, Samsara's latest announcements represent a significant development toward the kind of intelligent, data-driven operations that have transformed other sectors of the economy. I have been pleased to see that the company is starting to make use of its network and data across the network to guide product development. Whilst the data companies receive at an individual level is valuable, there's no doubt a huge amount of information to be gleaned from looking at this data as a whole - and using that to provide insights to customers within the platform.