AI in construction equipment and fleets: autonomy, haulage, and telematics in 2026

Three places the AI sits

This is our framing, not a vendor claim. On the machine: autonomy kits or purpose-built robots that do a task (driving piles, digging). On the haul road: autonomous haulage systems that move material between a load point and a dump point. In the data: telematics and fleet platforms that already collect machine hours, location, and fault codes, and now add assistants, agents, or machine-learning models on top.

The three carry very different adoption questions. Autonomy changes how a crew works on site; a telematics AI feature mostly changes how the office reads data it already has.

Autonomy on the machine

Built Robotics calls its work “physical AI for construction” and markets what it calls the world’s first AI-powered piling solution for utility-scale solar (vendor claim). Its homepage says the RPD 35 carries up to 224 piles with a maximum payload of 34,000 pounds, and the RPS 25 guides piles to within 1.0° of plumb and 15 millimeters of design elevation, with robots operating in coordinated fleets up to 24 hours a day. It cites 50,000 hours of operation, 40 deployments, an 8-layer safety system, and zero jobsite injuries (vendor claims, not verified). Its solutions page lists solar piling and trenching for DC and AC excavation.

Bedrock Robotics says it transforms everyday equipment into autonomous machines, starting with excavators, and that machines of other types will follow. It describes the “Bedrock Operator” as working around problems and adapting rather than just following commands, with capabilities improving from tens of thousands of hours in the field (vendor claims). Our Bedrock Robotics vs Gravis Robotics compare covers a second retrofit-autonomy vendor.

Read across both sites, today’s autonomy offers are narrow by task: solar piling and trenching for Built, excavation for Bedrock. That is our observation from what the vendors list, not a statement about what either can or cannot do on a given job.

Autonomous haulage for quarries and mines

Pronto sells an off-road autonomous haulage system (AHS) for mines, quarries, and other rugged sites. It says its software learns a haul route after an operator drives it manually once, after which operators dispatch trucks to saved routes from a smartphone app, with little if any infrastructure change. It describes a camera- and GNSS-based hardware stack that it calls lighter, faster, and more affordable than radar and lidar systems, machine-learning object detection meant to reduce false positives, a retrofit drive-by-wire kit, and ADAS, collision-avoidance, or L4 autonomy depending on site maturity (vendor claims).

Pronto’s newsroom lists its acquisition of SafeAI (Business Wire, July 15, 2025); safeai.ai now redirects to pronto.ai. The same newsroom lists an agreement to deploy 100+ autonomous haul trucks (Feb. 24, 2025) and a deployment with Heidelberg Materials at Lake Bridgeport. We read the newsroom listing, not the full releases, so we do not restate their terms. For heavy civil readers, the relevance is the aggregate supply chain: quarries are where Pronto says it operates, not highway or bridge jobsites.

AI on top of telematics data

Trackunit launched IrisX MCP on June 16, 2026. Its release says IrisX MCP makes equipment intelligence available through AI clients such as Claude, ChatGPT, and Microsoft Copilot using the open Model Context Protocol, with no custom integration required. It says teams can query their fleet in natural language to spot patterns across machines, connect a fault today to a warning logged months ago, flag the assets most likely to fail next, and then act in the same conversation by triggering alerts, updating records, and automating multi-step tasks (vendor claims). Trackunit’s homepage also describes an AI assistant inside IrisX.

Samsara’s construction page lists GPS tracking, AI dash cams with real-time safety alerts and coaching, utilization and dormancy reporting for equipment and vehicles, and remote fault-code alerts for vehicles and yellow iron. Its AI page describes Samsara Assistant for plain-language questions, Agent Studio for building custom agents and automations, and Samsara MCP, which it says connects live Samsara data to tools like Claude, ChatGPT, or Copilot while respecting the permissions already set.

Our observation: two of the telematics platforms here now offer an MCP connection, which means the AI interface may be a general assistant your company already uses rather than the vendor’s own dashboard. Ask how answers are checked before anyone acts on them.

From where the machine is to what it produced: Tenna Load Tracking

Tenna announced Virtual Superintendent on Oct 6, 2026 as its entry into production management. The release frames the problem in heavy civil terms: on most heavy civil and self-performing jobs, it says, quantities are tallied on paper and tickets are chased by hand until the month-end true-up (vendor statement).

The first module, Load Tracking, is aimed at contractors who self-perform earth and sitework. Tenna says it runs on telematics data already flowing from its hardware at one-second reporting, with machine-learning models layered on top that recognize when an excavator begins and finishes loading a truck, when the next truck is queued, and when material is dumped. It says haul cycles (time and distance), quantities, counts, and averages are measured automatically and attributed to the job in real time, with no additional component installation (vendor claims). Tenna’s product officer says the solution has powered large infrastructure projects in Australia over the past ten years; the release describes Load Tracking as available for the first time in North America.

Tenna also sells AI dash cams that it says provide collision warnings and incident capture on the road and on the jobsite, with automatic incident reporting and driver coaching (vendor description). Our Tenna vs Trackunit and Tenna vs Tenderd compares set the platforms side by side.

Pricing

None of the six publishes dollar prices. Trackunit’s pricing page lists tailored OEM, rental, and contractor plans by quote and says the price per connected asset falls as connectivity scales. Tenna’s pricing page says data and hardware pricing is based on asset count, with premium products as add-ons. Samsara’s pricing page text we fetched showed no prices. Built Robotics, Bedrock Robotics, and Pronto list no pricing on the pages we read (all checked Oct 15, 2026).

What to ask before a pilot

These are our suggestions, not findings. For load counting, ask whether it works on machines reporting through OEM telematics or only on the vendor’s own trackers, and how a counted load is reconciled against haul tickets. For MCP or assistant features, ask which permissions govern what the assistant can see and change, and whether actions like updating records need a human to approve them. For autonomy and haulage, ask which machine types and site conditions are supported today, who supervises the machine, and what happens when it stops.