Local data and inference
The system is designed to process prompts, data and model outputs locally. No AI inference requests are sent to an external model provider.
GreenTrustAI
A local AI system for practical computing.
GreenTrust AI develops software for running and coordinating AI models entirely on personal hardware. The architecture keeps inference, working context and model execution on the device, without requests to hosted AI inference services.
On-device inference
Local context management
Hardware-aware execution
01 / Position
Local execution is the foundation of the system.
GreenTrust brings model execution and context management into one local environment. This approach reduces reliance on hosted inference infrastructure while allowing the system to operate alongside the applications and information it supports.
02 / Architecture
Engineering for real-world hardware.
Resource-aware operation
Model selection and task execution must account for available memory, latency and energy consumption on supported devices.
Modular system design
Separate components for context, task routing and model execution allow GreenTrust to evolve without making the system dependent on a remote inference service.
03 / Technology
Architecture and model research
Our engineering work covers model adaptation, memory-aware execution and the coordination of specialised components. Engineering decisions are informed by technical evaluation and testing as the architecture develops.
Explore the technology