On-device AI
Local inference designed around memory, power, latency, and privacy constraints.
INTELLIGENCE / RESEARCHRESEARCH
An intelligence layer, not a chat wrapper.
RTM AI is a long-term research direction for useful intelligence across devices, system software, developer tools, and cloud infrastructure.
RTM INTELLIGENCE LAYERLOCAL ↔ SYSTEM ↔ CLOUD
Placement should follow latency, privacy, power, capability, and reliability—not fashion.
Cloud AI
Hosted workloads for tasks that genuinely benefit from shared infrastructure.
Developer APIs
Future interfaces that expose useful capabilities without hiding system behavior.
System intelligence
Context-aware features integrated with operating and device layers.
AI-assisted computing
Tools that support technical work while leaving control with the user.