Transforming the Edge to power the Industrial Brain
Benefits of Running AI Locally
Privacy
Ensures your IP-rich private data remains safe, eliminating the need to use the cloud. This removes risk of data interception and security breaches.
Compliance
Simplifies compliance with new and emerging laws and regulations, as AI safety has become a major focus for Congress.
Lower Costs
Zero hosting costs, unlike using cloud services and third-party APIs.
Explainability
Open, task-specific models are more effective at avoiding issues such as bias, data toxicity, and performance inconsistencies. It's important to understand “how the sausage is made” regarding AI safety.
Security
Data never needs to leave your on-prem or
on-device environment. The best data strategy is not moving your data.
Near Zero Latency
With models running locally on-device at the Edge, we now have near zero latency and never need to "phone home."
Sustainability
Hardware and chip agnostic, can run anywhere on only 4GB of RAM.
Own Your AI
Unlike proprietary models in the cloud and general Frontier models via 3rd-party APIs, you own your AI when you host it locally on-prem or on-device.
