✍️Problem

The Latency Gap in Cloud AI

Cloud inference platforms often take several seconds to respond to voice or video prompts. In use cases like language tutoring, customer service, or gaming, this latency breaks immersion and utility.

Centralization Risks

The centralized nature of today’s AI platforms poses risks around control, surveillance, and censorship. Users must trust that their data is handled ethically.

Scalability and Cost

Hosting LLMs at scale in cloud infrastructure becomes economically unsustainable when applied to millions of daily users or devices.