Train and manage existing robots.
Skill development, platform adaptation, licensing, fleet supervision and continuous improvement.

Physical AI Infrastructure · Berlin
GappAI teaches, deploys and operates robotic capacity. Customers can bring their robots—or contract measurable outcomes from GappAI-managed fleets.
Skills · Fleet intelligence · Managed operations · Asset platform
The GappAI value flywheel
Contracted physical work can support fleet investment. Operating fleets create permissioned experience. That experience strengthens reusable skills, improves performance and opens further deployments.
Validated learning can be versioned, adapted and licensed across supported robots and environments.
Customers can contract for availability, throughput or completed work instead of building a robotics organisation.
Suitable project vehicles can connect validated demand with asset and infrastructure capital.
We capture how real work is done, translate it into machine-readable skills and operate those skills across robotic systems. Customers can bring their own robots—or build toward a fully managed GappAI service. Every operation creates new data. Every cycle increases autonomy.
Capture expert demonstrations, context and operating conditions.
Convert perception and action into reusable physical skills.
Deploy, adapt and improve through real-world experience.
Physical intelligence begins where sensing becomes action.
A transparent starting point
Our current media illustrates the task classes and manipulation capabilities we are engineering toward; it is not presented as a customer deployment. Every paid pilot is defined around evidence that can support a clear next decision.
View the pilot protocolSuccessful executions under agreed operating conditions.
Time and throughput compared with the pilot target.
Where and how often human support remains necessary.
Events, boundary violations and controlled-stop behavior.
From projects to reusable assets
Paid pilots can produce validated, versioned robot skills. Over time, customers may license a compatible skill and adapt it to their robot and environment instead of beginning again from zero.
Explore the Skill LibraryProduct direction · Illustrative skills are not represented as currently deployment-ready.
Real work becomes training data
Instrumented gloves, body sensors and task-facing cameras capture how skilled people perceive, decide and move. GappAI turns those demonstrations into measurable, reusable robot skills.
Motion · vision · touch · context
01DemonstrateExperts perform real work in context.
02MeasureSensors capture perception and action.
03TransferRobots learn, deploy and improve.
Research directions
Our research direction connects robot learning with the realities of perception, contact, uncertainty and long-horizon action. The objective is not a single demonstration, but systems that generalize and improve.
Learning reusable behaviors from expert demonstration and operational data.
Combining vision, depth, touch and context for physical understanding.
Systems that reason, recover and improve under changing conditions.
Measuring reliability before and throughout real-world deployment.
One intelligence layer
GappAI is not defined by a single robot. We connect AI, sensing, control and deployment to move physical operations from assisted execution toward lasting autonomy.
Humanoid dexterity
Physical intelligence must move beyond navigation and repetition. We develop transferable skills for robots that perceive, manipulate tools and carry out work designed around the human body.
Fine manipulation for professional food preparation.
Perception and dexterity for delicate, high-volume food production.
Designed for changing environments beyond the lab.
Infrastructure at machine scale
GappAI develops transferable physical skills for factories, municipalities, infrastructure operators and the built environment—from assembly and inspection to cleaning, installation and maintenance.
Installation and maintenance for traffic and city systems.
Repeatable precision across production, inspection and service.
01Municipal cleaning
02Traffic systems
03Factory operations
04Public infrastructure
05Construction support
06Inspection & maintenance
Initial applications begin where physical work is measurable, fragmented and repeatable. The long-term intelligence layer remains sector-independent.
01 Manufacturing
02 Public infrastructure
03 Municipal operations
04 Construction
05 Buildings & property
06 Hospitality
07 Mobility
08 Homes & everyday life
Human-centered environments
From commercial properties and hospitality operations to the homes people live in, everyday environments contain thousands of physical tasks still performed by hand. GappAI develops the perception, manipulation and learning systems required for robots to work safely and adapt as these environments change.
Cleaning, inspection, material movement and routine technical work across residential and commercial properties.
Repeatable operations that require dexterity, consistency and safe interaction in spaces shared with people.
A long-term path toward organizing, cleaning, handling household objects and supporting daily life.
Research directions for physically demanding daily tasks, developed with safety, human oversight and clear boundaries.
Each operating environment expands the intelligence required for the next. We begin where performance can be measured and build toward increasingly open, human-centered spaces.
Measurable tasks, controlled environments and operational proof.
Infrastructure, maintenance and essential city operations.
Dynamic spaces shared by people, services and machines.
General-purpose physical intelligence supporting everyday life.
Built in Berlin
GappAI is an engineering-led Physical AI infrastructure company based in Berlin. We connect human skill, robot learning, fleet operations and real-world deployment.
Our mission is to make reliable robotic capacity accessible without requiring every customer to build its own robotics organisation—from trained customer fleets to complete GappAI-managed operations.
Company, mission & vision Managed robotic operations Investment case Academic partnerships Media & brand assetsWe are interested in engineers and researchers working across robotics, embodied AI, perception, controls, learning systems, simulation and real-world operations.
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