Physical automation, made comprehensible
Reliable robotic orchestration
for work previously impractical to automate.
Comprehensible is a control and orchestration system for physical workflows across robots, sensors, AI models and business systems — with safety, monitoring and recovery built in.
Better perception and decision-making are opening automation to changing, lower-volume work — from smaller manufacturers and creative studios to construction sites and farms. Comprehensible makes these systems practical to set up and adapt without a dedicated team of robotics specialists.
Explore the product01 / THE PRODUCT
Automation no longer has to mean a rigid, single-purpose production line.
From device drivers and motion control to perception and workflow logic, Comprehensible connects the full stack into adaptable workflows. Smaller manufacturers, workshops, wineries, breweries and creative teams can design, test and operate changing jobs without creating a custom integration each time.
Compose the whole workflow
Connect live sensor data, spatial understanding, decisions and robot actions.
Keep the real system in view
Observe connected hardware while designing, testing and adjusting the job.
Build the interface for the task
Combine the controls, status, simulation and timing that operators actually need.
Bringing robotics into a product filming studio



The interface is connected to real machines and real sensor data.




02 / THE FOUNDATION
Intelligence makes new automation possible. Reliability and safety make it viable in practice.
Comprehensible’s reliability and safety engine sits at the foundation of the orchestration layer. Every input, action and outcome has defined meaning, allowing the platform to check the complete workflow against its safety rules, live sensor readings, and the actual positions and status of connected equipment — before anything moves and throughout testing. In production, the same foundation continuously monitors events across space and time, detects anomalies in real time, and triggers a defined response when conditions change.
To make these requirements explicit and machine-checkable, we designed our own domain-specific language for workflow and safety specifications. Specifications can be written directly or generated with an LLM, then validated before they can affect physical equipment.
Understand how the machine behaves before trusting it with the job.




Keep the robots, their surroundings and their history in view.



Build with us
Physical automation,
made comprehensible.
Bring us the process you want to automate. We’re working with early teams to turn high-value, human–robot use cases into reliable operations.
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