OUR STACK

From experience to intelligence to action.

A connected research-to-deployment system for building robots that see, hear, feel, reason, and improve through real-world feedback.

CLOSED-LOOP ARCHITECTURE

Every layer
strengthens the loop.

Data and simulation create experience. Multimodal sensing grounds it. Foundation intelligence turns it into plans. Runtime control produces action, and deployment returns new evidence to the system.

Data engine
Simulation & digital twins
Multimodal sensing
Foundation intelligence
Adaptation & runtime
Robot deployment
Active research

STACK LAYER

Data engine

Curate real demonstrations, multimodal trajectories, and reusable training corpora that preserve physical context.

Inputs
Robot demonstrations / Human data / Sensor streams
Output
Training datasets
Active research

STACK LAYER

Simulation & digital twins

Generate scalable experience, explore edge cases, and validate behavior in physics-grounded virtual environments.

Inputs
Digital assets / Task scenarios / Physics
Output
Synthetic experience
Active research

STACK LAYER

Foundation intelligence

Learn shared representations for physical reasoning, memory, prediction, planning, and action generation.

Inputs
Multimodal tokens / Task context / Embodiment state
Output
Plans + predictions
In development

STACK LAYER

Adaptation & runtime

Adapt general models to new robots and tasks, then execute them through latency-aware closed-loop control.

Inputs
Base models / Target embodiment / Safety constraints
Output
Robot policy
In development

STACK LAYER

Robot deployment

Integrate intelligence with physical embodiments and return real-world outcomes to the learning system.

Inputs
Robot policy / Hardware interfaces / Live feedback
Output
Action + new data

STATUS LANGUAGE

Research progress,
not product claims.

Active researchA current BotForge research focus.

In developmentBeing developed; not publicly released.

PlannedPart of the intended architecture.