THROUGHPUT
Extend the capacity of your best people.
Turn expert demonstrations into on-the-job training, AI work instructions, and task-specific robot skills.
Units per labor hourDATA, EVALUATION & ROBOTICS DEPLOYMENT
Your operating expertise.
A compounding advantage.
Physic partners with industrial businesses to turn proprietary expertise into training data for people, AI, and robots. We build the continuous improvement loop behind higher throughput, consistent quality, and faster delivery.
MANUFACTURING · AUTOMOTIVE · AEROSPACE · DEFENSE
01 / THE WINDOW
SCARCE EXPERTISE. ACCUMULATING EXPERIENCE.
The lead is built in production.
The scarce input is your experts’ judgment under real conditions. Capturing it takes access to the work, the people, and the result. Every completed learning cycle builds a history a competitor must earn for itself.
A competitor that keeps improving output, yield, and delivery can price more aggressively, win repeat orders, and take market share.
Delay gives that learning advantage to someone else.02 / THE OPERATING RETURN
COMMERCIALIZE THROUGH YOUR OWN OPERATIONS
Convert expertise into production capacity.
The first return on your data comes from the work you sell. We develop internal applications against the measures that determine your ability to compete.
QUALITY
Make expert standards repeatable.
Connect inspection results to process decisions. Train visual inspection models and feed corrections back into the work.
First-pass yield · ReworkDELIVERY
Resolve exceptions before they become delays.
Use prior jobs, diagnoses, and recovery examples to support technicians and improve robotic execution.
Cycle time · On-time delivery03 / THE DATA LIFECYCLE
FROM HUMAN DEMONSTRATIONS TO ROBOT DEPLOYMENT
Build. Deploy. Learn. Reinvest.
Physic connects data collection, evaluation, and deployment in one program. Each production cycle identifies what to capture and improve next.
Collect
Task-specific demonstrations, egocentric video, sensor data, and robot trajectories. Expert questions capture the decisions behind the actions.
Curate
Annotation, motion analysis, quality assurance, and dataset search. Docent organizes examples by task, condition, and outcome.
Discuss data curation ↗Train & evaluate
Prepare training datasets, adapt models, and evaluate task performance against your production requirements.
Deploy & improve
Integrate models, sensors, and robotics into the operation. Use failures, interventions, and job results to direct the next training cycle.
↺ Job results → targeted collection → retraining → measured improvement
04 / ASSET APPRECIATION
VALUE THROUGH USE
The return is in use.
The value accumulates.
As your data covers more conditions and proves useful in production, it becomes more valuable to your business. Expert corrections train new employees, refine robot skills, and support the next application.
A proprietary asset with demonstrated returns can also support the case for equity investment and selective data licensing.
05 / THE PARTNERSHIP
YOUR OPERATION. A SHARED DEVELOPMENT AGENDA.
A partner across the operating life of the asset.
We develop the data and its applications with your team. Production results guide where we invest effort next.
A shared performance target.
We select the first application around an operating constraint, then track its effect on output, quality, and cost.
Continuity across the lifecycle.
Collection, model development, deployment, and improvement stay connected. Your operating team shapes the work throughout.
An asset your business controls.
Your datasets, expert context, and performance history remain reusable as models and equipment change. Ownership and use rights are agreed at the outset.
BEGIN WITH AN OPERATING CONSTRAINT
Where would better performance change the economics?
Bring a bottleneck in throughput, quality, or delivery. We’ll identify the data, the first application, and the performance target for a focused partnership.
OPERATING BASELINEFIRST APPLICATIONSHARED PERFORMANCE TARGETDATA OWNERSHIP