The Expertise Already Exists
We Make It Ready for
Physical AI
Manufacturing Never Stands Still
New Model
New product variants, model updates, and changing component specifications
New Process
Changes in process routing, station allocation, and assembly sequences
New Tasks
Changes in movements, tool handling, task sequences, and assembly methods
New Skills
New movement patterns, task-specific know-how, and adaptive work techniques
Every new model changes how work gets done
New products bring new processes, new tasks, and new skills to learn.
New Models Don't
Just Change Products
They Change the Work
Process-Level Change
Changes cascade down to individual movements, tool use, task sequences, and timing on the assembly line.
No Factory-Floor Learning
Manufacturers still lack a practical way to capture real-world work and turn it into learning data for Physical AI.
Repeated Retraining for Every Change
Every model or process change triggers another cycle of training, validation, and adaptation.
Turn Every Process Change
into Skill Data for Physical AI
SKILL DATA
Analyze and Understand Real-World Work
Capture and analyze productivity, work patterns, cycle time, and manufacturing context.
Train Physical AI
Transform real-world work into structured Skill Data that Physical AI can learn from.
Optimize Deployment
Validate Physical AI against real production conditions and optimize deployment as processes change.
READYSTATE transforms real-world manufacturing work into Skill Data for analyzing operations, training Physical AI, and optimizing deployment.
It Starts with Understanding How Work Is Actually Done
Motion Data
Captures human posture, joint movements, hand positions, tool paths, task sequences, and timing directly from real-world work.
Manufacturing Context
Connects human motion with work orders, product and process information, takt time, equipment data, and quality results from the factory floor.
Skill Data
Structured data combining human motion with manufacturing context for analysis, work comparison, process improvement, and Physical AI training.
Motion alone does not explain the work
By combining how people move with the manufacturing context behind each task, READYSTATE creates structured Skill Data for operational analysis, process improvement, and Physical AI training.
One System, from Real Work to Physical AI
READYSTATE transforms real-world manufacturing data into Skill Data for training, validating, and deploying Physical AI.
REAL WORK
Assembly line operations
OBSERVER
Capture work
Create Skill Data
SKILL DATA
Motion data + Manufacturing context
GRAPE
Analyze·Train·Optimize
PHYSICAL AI
Ready for real production
OBSERVER
Combines motion data with manufacturing context on the factory floor to generate structured Skill Data from real work.
GRAPE
Enables production managers to validate, train, deploy, and adapt Physical AI using Skill Data from real manufacturing processes.
Improve Today's Line
Make Physical AI Ready for Production
Manufacturing Operations
Higher productivity, better line balance, and faster adaptation to change.
Higher Productivity
Identify more efficient work patterns by comparing how tasks are actually performed.
Better Line Balance
Balance processes by identifying bottlenecks, workload differences, and cycle-time variation.
Faster Adaptation
Adapt faster when new models, products, or process changes are introduced.
Physical AI
Physical AI training, validation, and production deployment using Skill Data.
Validated Capability
Evaluate Physical AI capabilities against real-world work requirements and Skill Data.
Faster Training
Accelerate training and retraining with Skill Data grounded in real manufacturing context.
Production Deployment
Support production deployment by matching validated Physical AI capability with real process requirements.