Operation analysis
Physical AI Pilot / Partnerships
Bring us one operation.
We build the path to autonomy.
GappAI works with organizations that own meaningful physical workflows. We assess the operation, capture the required human expertise and engineer a bounded robotic pilot with measurable safety and performance criteria.
Propose a pilot 01 / The first product
A Physical AI pilot—built around the work, not the spectacle.
The first engagement is deliberately narrow: one repeatable physical operation, one defined environment and one evidence-based decision. We map the work before selecting hardware, data-capture methods or a learning approach.
A pilot is designed to show what is technically feasible, what remains uncertain and what it would take to operate safely at useful scale.
Bounded operation / Measurable resultStart with real work.
Start with real work.
Validate in context.
02 / What the customer receives
A defined engineering package.
A decision-ready result.
The scope is agreed before work begins. Deliverables are adapted to the operation, environment and maturity of the available hardware.
Robotic feasibility assessment
Human-skill and data requirements
Recommended robot and sensor architecture
Measurable skill prototype
Controlled field pilot
Safety and performance evaluation
Deployment and scaling plan
03 / Two paths to deployment
Develop a new skill.
Or adapt a validated core.
Every engagement begins with the operation and its evidence requirements. Where a relevant library skill reaches the required maturity, adaptation can reduce duplicated engineering without weakening deployment-specific validation.
New skill development
We define, capture, engineer and validate a capability for a new operation. The customer receives a bounded pilot and a documented path to deployment.
Skill Library adaptation
We adapt a suitable GappAI Skill Library core to the customer's robot, tools, environment and safety envelope, then validate it for that specific use.
Explore the Skill Library modelAvailability is assessed case by case. No capability is represented as validated unless its evidence, operating boundaries and maturity level are documented.
04 / From operation to deployment
Define
Identify one operation with clear physical boundaries, measurable value and realistic deployment conditions.
Capture
Record how skilled people perceive, decide and act using task-relevant cameras, sensors and demonstrations.
Engineer
Translate the operation into a robot skill through learning, simulation, control and hardware-aware adaptation.
Validate
Evaluate safety, reliability, cycle time, intervention rate and operational performance in a bounded pilot.
Deploy
Integrate the validated capability into real operations and expand it across robots, shifts and locations.
Improve
Use operational experience to increase reliability, adaptability and autonomy over time.
Field pilot / Public infrastructureFrom controlled scope
From controlled scope
to useful city work.
05 / Ways to engage
Technical and operational assessment of a repeatable physical workflow.
Human demonstration, data capture and engineering of a measurable robot capability.
Bounded real-world implementation with agreed safety and performance criteria.
Expansion across robot fleets, sites, shifts and related workflows.
Joint work with universities, institutions, OEMs and technology partners.
06 / Who we work with
Manufacturing & logistics
Assembly, material handling, inspection, maintenance and exception-rich line-side work.
Cities & infrastructure
Municipal services, transport systems, public facilities, inspection and essential maintenance.
Property operations
Cleaning, service, movement and technical routines across hotels, campuses and property portfolios.
Robot manufacturers & integrators
Hardware-aware skills, sensing, evaluation and deployment across supported robotic platforms.
Universities & institutes
Applied research, evaluation methods, responsible deployment studies and future talent.
Homes & everyday life
Research toward robots that can safely learn household routines and support daily physical tasks.
07 / Path after the pilot
Prove one operation.
Choose how it scales.
A successful pilot can progress through more than one ownership and operating structure.
GappAI trains and manages.
We license the skill, adapt it to supported robots and provide ongoing fleet intelligence and performance management.
GappAI delivers capacity.
Where commercial evidence supports it, a fleet can be financed and operated as a complete service with availability or outcome-based economics.
08 / Trust & accountability
Operational learning with clear boundaries.
Customer environments, operational information and human demonstrations are handled under project-specific agreements, access controls and defined purposes. We separate customer-confidential information from reusable engineering methods and design every pilot around privacy, cybersecurity, safety and human oversight.
- Defined operational value and measurable outcomes
- Data-protection and worker-participation review
- Risk assessment and controlled operating boundaries
- Hardware, interoperability and dependency assessment
- Documented results, limitations and next decision
09 / Start a conversation
Have a repeatable physical operation?