Home/Sectors/Medical
Sector · Medical
In development

Ninkarrak

Ninkarrak — the Medical implementation of Baru, the trusted intelligence-fusion platform. In development. It is being built as a whole clinical visit in a station — multi-sensor screening and triage support, governed end to end, with the AI intended to run on-device and the clinical decision always human.

It screens and suggests; it never diagnoses.

Medical
2 continuums
Clinical session · Station operational
11 zones
Each with explicit entry & exit
3 layers
Policy · Conops · Reporting
The implementation

A clinic designed to govern its own every step

Ninkarrak is being built as a self-contained smart health station: a patient will walk in, be identified and consented, have a full set of clinical-grade vitals collected, consult a registered physician over an encrypted link, and leave with a disposition — self-care, referral, or emergency. Every step is an Anshar zone with defined entry and exit conditions, so nothing advances until its preconditions are provably met.

The AI is designed to run on-device at the point of care — targeting a complete vitals sweep in under three minutes and a physician briefing in under fifteen seconds — with no protected health information leaving the station except under a lawful, logged disclosure.

    What it is being built to deliver
  • On-device clinical-grade vitals, vision & acoustic AI
  • Green / Yellow / Red triage as physician decision support
  • Human-only policy determinations, every time
  • Session-to-session decontamination safety interlock
  • Signed, end-to-end audit trail
The design

What Ninkarrak is

Ninkarrak is being built as a self-contained, deployable screening station: multiple sensing modalities fused on-device into a single assessment that supports triage — in clinics, pharmacies, remote communities, and anywhere a station can be safely placed. It proposes a priority; a clinician decides. Like every Baru implementation, it works where the network doesn’t, on infrastructure its operator controls.

The design is built on two interlocked continuums — a patient-facing clinical session and a between-session operational cycle. They meet at one boundary: the clinical session is designed not to begin until the station has certified itself clean and ready — the interlock intended as the architecture’s primary safety mechanism. Every step is a zone with defined entry and exit conditions, so nothing advances until its preconditions are provably met.

Clinical session · 8 zones

Arrival → discharge: approach & access, identity and consent, sensor collection, live consultation, and one of three mutually-exclusive exits — self-care, referral, or emergency escalation.

Station operational · 3 zones

Runs after every session: closure and safety, decontamination cycle, then readiness certification — the station vouches for itself before the next patient can enter.

Three kinds of AI, each in its place

Every zone is structured in three layers — Policy (what must happen), Conops (how it happens), Reporting (how it’s measured). AI lives only in the lower two, as sensors, actuators, and measurement synthesisers.

Edge AI

Runs on-device with no cloud round-trip — vitals, computer vision, acoustics, occupancy fusion, and sensor self-calibration. Structured, auditable outputs enter the zone as conops-layer inputs.

Generative AI

LLM synthesis for narrative output — plain-language consent, symptom transcription, clinical-note and referral drafts. Always conops-layer, always reviewed by a human before any determination.

Predictive AI

Scored and classified outputs — triage severity, deterioration trajectory, referral matching, predictive maintenance. Logged separately from the human determination it informs.

The line that never moves

The AI produces the input.
The clinician makes the call.

No AI occupies the policy layer. Admissibility, consent validity, clinical determination, prescribing authority — every one is a human decision, backed by a structured, logged AI input. This separation is the legal and clinical foundation of the architecture, and it is enforced at every zone boundary rather than assumed.

This line holds in every Enkidu sector — see Trust.

Lineage

Part of Baru

Ninkarrak is Baru, tuned for care settings: the same platform, carrying clinically oriented sensor models, health-data handling posture, and the privacy obligations of patient information. What Baru guarantees everywhere — evidence behind every element, a human behind every decision — Ninkarrak guarantees at the point of care: a clinician decides, every time.

The foundation

Built on Ekur

Every zone runs on the same shared stack — one layer for where things may happen, one for whether they may. Anshar gives each step explicit entry and exit conditions so nothing advances until its preconditions are met; Kittu governs what each agent may do and records the evidence behind every input a clinician sees. The full detail lives on the platform page.

Enkidu

Bring Ninkarrak to your community

Book a walkthrough of the zone architecture and see the clinical and operational continuums running end to end.