AI platforms today face two critical challenges:
Most providers log, monetize, and resell user data.
Trust is eroded as users realize their conversations fuel corporate profits, not personal benefit.
Mixture-of-Experts (MoE) models can expose sensitive inputs.
Hardware-level traces (cache, memory, kernel signals) may leak information even if the provider is honest.
With global AI adoption accelerating, privacy is becoming the top demand. Users and enterprises want AI that:
Guarantees confidentiality by design, not policy.
Rewards participation instead of exploiting it.
AtlasAI solves both problems — making it the default private LLM that pays its users back.
Last updated 4 months ago