Built around intelligence, from the silicon up.
Most tablets add AI as a feature. AITablets is being designed the other way around – four layers that work together so intelligence feels instant, personal, and private.
1 · On-device neural engine
A dedicated processor targets AI workloads directly on the tablet. Everyday assistance runs locally, so responses feel immediate and don't depend on a connection.
2 · Adaptive operating system
The OS is designed to learn your patterns – surfacing the right apps, tools, and suggestions in context, and quieting the noise you don't need.
3 · Privacy-first processing
Because assistance runs on-device by design, your content can stay with you. We're building AITablets so personal data isn't the price of intelligence.
4 · Seamless assistant
One assistant across the whole device – it sees context, drafts and summarizes, and hands work between apps without breaking your flow.
Intelligence that stays close to home.
Running AI locally isn't just faster – it's the foundation of a private device. Here's what we're engineering toward.
- Local inference for everyday tasks – summarize, draft, translate, search your stuff.
- Low latency because the round-trip to a server is gone for on-device work.
- Works offline for core assistance, so you're not stranded without a signal.
- You choose the cloud – heavier tasks can reach out only when you opt in.
The unglamorous engineering that makes it feel effortless.
Great hardware is mostly the decisions you don't see.
These describe how AITablets is being designed during development. AITablets is a pre-launch concept; specifications are targets and may change before any product ships.