Manipulation
Mixed Object Picking
Evaluate perception, grasp planning and autonomous recovery across changing objects and physical conditions.
Scenario detailTrain AI in Reality.
Real-world infrastructure for Physical AI — access diverse industrial environments where intelligent systems can be tested, observed and validated under authentic operating conditions.
What is RealForge?
The reality layerfor Physical AI
RealForge connects intelligent physical systems with diverse, real industrial environments across manufacturing, logistics and production ecosystems.
The gap
Simulation describes capability. Reality decides readiness.
A physical system can clear every benchmark in a controlled setting and still meet conditions it has never encountered — a surface that reflects differently, a load that shifts, an aisle that was reorganised overnight.
RealForge exists so those conditions can be reached before deployment rather than discovered during it.
Network scale
1,000+
Industrial Facilities
10,000+
Real-World Scenarios
50+
Industry Categories
Global
Multi-Region Coverage
The reality layer
The physical world, structured as infrastructure.
Environments are described, matched and observed through one consistent method — so what a system does in Nagoya can be read against what it does in Stuttgart.
Observation
From environment to deployment understanding.
Every engagement follows the same chain. It is what makes results comparable across facilities, regions and conditions rather than true only of the site they came from.
- 01
Environment
A real facility with its own layout, lighting, materials and operating rhythm.
- 02
Task Event
A defined scenario executed under the conditions of that environment.
- 03
Observation
Structured records of what happened, captured consistently across sites.
- 04
Performance Pattern
Comparable behaviour across environments, conditions and repetitions.
- 05
Deployment Understanding
Deployment-relevant evidence of where a system holds and where it does not.
Scenarios
Thousands of ways to meet reality.
All scenarios
Navigation
Dense Aisle Navigation
Observe path planning and clearance behaviour in narrow, occupied and continuously reconfigured storage aisles.
Scenario detail
Human Interaction
Shared Workspace Operation
Measure behaviour where operators and autonomous systems work within the same physical envelope.
Scenario detail
Logistics
Palletising Under Variance
Assess stacking strategy and stability as load geometry, weight and packaging vary through a shift.
Scenario detail
Assembly
Precision Assembly
Study tolerance handling, insertion force and failure recovery on live production tooling.
Scenario detailNetwork