Priver Core is a coordinated four-block chip platform for personal AI — a graph-traversal memory engine, a sensor-side privacy boundary, a hardware-rooted attestation gate, and a closed-epistemic inference accelerator. It runs in milliwatts, independent of the host processor, and turns privacy, attestation, and isolation from promises into properties of the hardware. Every Priver device is built on it. Each block is separately licensable.
Software can promise privacy. Only hardware can make it a property nothing — not an app, not a firmware bug, not an attacker — can take away.
Every personal-AI device today routes your raw camera, microphone, and biometric data through general-purpose memory, then leans on policies, indicator lights, and contracts to keep it safe. Those depend on software behaving — and software doesn't always behave.
Priver Core moves the guarantees below software. Raw sensor data is converted to compact events on-chip and physically can't leave. Your personal model runs sealed from the network. Every answer carries a signed record of exactly which memories produced it. And the whole thing runs independent of the host processor, in a milliwatt budget built for all-day wear.
The blocks interoperate through defined signaling interfaces to produce an end-to-end, hardware-rooted chain — or each can be dropped into someone else's system-on-a-chip as standalone IP.
A compute-in-memory array that stores and maintains the event-graph in place, paired with a graph-traversal accelerator that walks it — recall in milliwatts, not watts.
Converts camera, audio, and biometric streams into compact event representations on-chip, then structurally blocks the raw data from ever crossing a pin.
Verifies any outside AI before it can touch your memory, signs a decision-lineage record for every answer, and runs erasure that actually propagates across your devices.
Runs your personalized model under hardware isolation from the network — scope-checking every attention key against your own data, and tagging activations with provenance.
The four blocks sign their work in sequence, each signature folding in the last. The result is a tamper-evident chain from the moment a sensor fired to the moment an answer appeared — auditable at the level a regulator, a clinician, or you would want.
The privacy boundary emits a signed event — never the raw frame or audio.
GTX-1 records the exact nodes and links it walked to build the answer.
The model runs offline; activations carry provenance back to their sources.
The gate chains all of it into one verifiable decision-lineage record.
Raw sensor data is converted on-chip and physically can't leave. What never exists outside the chip can't leak.
Your model reasons only over data you've authorized — no cloud, no outside training, no network during inference.
Every output ships with a cryptographically chained record of the exact memories and reasoning behind it.
Delete a memory and a tombstone follows it across every paired device, with proof it was carried out.
Configured for a milliwatt wearable or a vehicle's compute, the platform — or any single block — drops into the form factor. It's what every Priver product is built on, and what chip vendors can license into their own silicon.
On-device memory glasses
The earbud that remembers
Sovereign memory hub
Verify before it moves
Biometric + inertial context
Block or full-platform SoC
Driver and occupant assist
Audit-ready by design
Take all four blocks as a coordinated platform, or drop one into your own system-on-a-chip. Either way, you inherit the same structural privacy, attestation, and isolation guarantees — and the decision-lineage format that travels with them.