Gravis Jobsite Intelligence Revenue Layer
Gravis Robotics
The bigger point is that Gravis can turn every autonomous or assisted shift into a stream of construction data that keeps selling after the hardware is installed. Rack already scans terrain, tracks machine work against a target geometry, and updates an as built model during excavation, which means the raw ingredients for analytics, progress measurement, and verification are created as part of normal operation, not as a separate survey workflow.
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This matters because contractors often buy guidance before they buy autonomy. Gravis already lets an operator import a CAD or BIM plan, see live cut and fill on Slate, and use Copilot for guidance and alerts. That makes analytics a natural add on for partially automated fleets, not just fully driverless ones.
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The closest product precedent is machine control vendors that turned site data into software. Komatsu combines design files, drone maps, and machine as built data in Dashboard to track quantities, stockpiles, cut and fill, and progress over time. Gravis can package similar outputs from its own installed base, but from the autonomy stack itself.
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A second software layer also improves the business model. Gravis sells one time hardware plus annual software today, and its margins are mixed because field installation is labor heavy. More reporting and verification software would raise revenue per machine without another rooftop kit or another site visit.
The path forward is from machine automation into site system of record. As more mixed fleets run Rack and Slate across trenching, grading, loading, and quarry work, Gravis can move from selling robotic execution on a few tasks to selling daily production truth across the whole jobsite, which is the higher frequency and stickier software position.