A physical workflow that occurs often enough to observe, test and improve.
Commercial Entry / GappAI Physical AI Pilot
One operation.
A measurable path to deployment.
A GappAI Physical AI Pilot is a paid, bounded engineering engagement. We define the work, plan robot access, capture the required expertise, develop or adapt the skill and validate whether the operation should move toward production.
Request a Pilot Proposal 01 / What customers can buy today
A decision-ready Physical AI Pilot—built around the operation, not the robot.
The engagement focuses on one repeatable physical workflow, one defined environment and agreed evidence. A typical pilot runs for 6–12 weeks after scope, prerequisites and robot access are confirmed; the written proposal defines the actual schedule.
The result is not a staged demonstration or a promise of full autonomy. It is a working, measured basis for a go, redesign or no-go decision—and, where the evidence supports it, a production roadmap.
Bounded operation / Measurable resultStart with real work.
Start with real work.
Validate in context.
02 / A strong pilot candidate
Choose work that can
produce a clear decision.
The best starting point is not the most ambitious task. It is the operation with enough structure, value and access to generate useful evidence.
Quality, throughput, safety, availability, cost or another agreed business outcome.
A site, station or route whose people, tools, materials and exceptions can be mapped.
A customer process owner, task experts, site access and relevant technical contacts.
A credible path to repeated use across shifts, robots, related tasks or locations.
03 / How the engagement works
Discover
Qualify the operation, site, value, boundaries, existing systems and acceptance criteria.
Plan
Confirm robot access, data capture, integrations, safety, human escalation and customer responsibilities.
Build
Capture task knowledge and engineer a new skill or adapt a suitable validated core to the robot and environment.
Validate
Measure completion, quality, cycle time, reliability, intervention rate, recovery behavior and safety performance.
Decide
Document results, limitations, deployment economics and the recommended go, redesign or no-go decision.
The sequence is standard; the detailed work plan and 6–12 week target window depend on hardware availability, site readiness, integration depth and the operation's risk profile.
04 / Robot access
The operation selects
the hardware path.
GappAI is hardware-aware and not tied to one robot manufacturer. Platform suitability is assessed against the task, payload, reach, mobility, sensing, control access and safety requirements.
Customer-owned robot
We assess the available platform, interfaces and tooling, then scope the skill and site adaptation required for a supported configuration.
Partner-supplied robot
A robot OEM, integrator or research partner provides platform access while GappAI leads the operation, skill and validation layer.
Project-sourced robot
Where suitable and available, GappAI can include partner-based robot access in the pilot proposal. Ownership, logistics and costs are stated explicitly.
Robot access is subject to platform suitability, availability, geography, partner terms and safety review. Purchasing a robot alone does not make the target operation autonomous.
05 / Skill path
Develop a new skill.
Or adapt a validated core.
Every engagement begins with the operation and its evidence requirements. A library core is used only where its documented maturity and supported configuration fit the use case.
New skill development
We define, capture, engineer and validate a capability for a new operation. The pilot creates the first bounded evidence and a documented path forward.
Skill Library adaptation
We license and adapt a suitable GappAI skill core to the robot, tools, environment and safety envelope, then revalidate it for that deployment.
Explore the Skill Library model06 / What the customer receives
A defined engineering package.
A decision-ready result.
Exact deliverables are agreed before work begins and adapted to the operation, environment, integrations and maturity of the available hardware.
Operation and site analysis
Robot, sensor and tooling assessment
Data and human-demonstration plan
Skill prototype for the defined scope
Safety, recovery and escalation design
Integration architecture and requirements
KPI results, failures and limitations
Go/no-go decision and production roadmap
07 / Commercial proposal
Scoped to the work.
Quoted before commitment.
GappAI does not publish a misleading one-price-fits-all pilot package. The proposal converts the selected operation into a clear commercial and technical scope.
The first commercial engagement.
The fee reflects task complexity, site work, robot access, data capture, integrations, tooling, safety engineering and validation depth.
- Objective and in-scope operation
- Work plan, milestones and target schedule
- Customer and GappAI responsibilities
- Deliverables and acceptance criteria
An explicit route to production.
The proposal states payment milestones, third-party and hardware costs, data and IP terms, assumptions, exclusions and the commercial model that would apply after a successful pilot.
- Hardware access and logistics
- On-site and integration requirements
- Change-control conditions
- Indicative deployment and recurring fees
08 / After the pilot
Evidence first.
Then choose the next contract.
A pilot can close with a no-go, a redesign recommendation or a production path. Only validated performance moves into deployment.
Stop or redesign
Document the technical, operational or economic constraint before committing more capital.
Deploy
Contract site integration, robot adaptation, commissioning, safety controls and a deployment-validated skill licence.
Scale & operate
Add recurring skill, platform, site, monitoring, support and fleet-operation services as robots, shifts or locations expand.
09 / What we need from the customer
A joint operating team with clear boundaries.
GappAI leads the Physical AI engineering and validation layer. The customer remains essential to process truth, site access, approvals and the definition of useful performance. Customer information and demonstrations are handled under project-specific agreements and defined purposes.
- An accountable process owner and decision-maker
- Access to the site, task experts and relevant procedures
- Safety, IT, data-protection and integration contacts
- Known exceptions, constraints and human escalation routes
- Agreed KPIs, acceptance criteria and deployment decision rights
10 / Start here
Have one repeatable physical operation?