· The clinical workflow · A pain point ·
Between every patient and every doctor,
there is a distance.
Records locked in corridors. Fragmented narratives retold in consultation rooms. Stigma stretched across years. We SHRUNK it, with clinical intelligence that is sovereign, while patient data stays sealed.
Press → and watch the distance close
01
The invisible problem

Every patient has two stories.

Press Play to watch the SHRUNK story.
be-advanced Challenge Program · Bern, CH · (Confidential)

SHRUNK

Federated RAG-based edge clinical intelligence system | mental health

Powered by dFRAG-Patient

🎯 The Mission: built to assist mental health clinicians drowning in fragmented contexts.

Our core USPs:

  1. Adaptive clinical workflow for visibility of the patient black-box problem.
  2. A psychiatry-adapted teacher built on top of sovereign LLM ("Apertus") via LoRA adaptor that provides a context-aware, mental-health curated, evidence-based ecosystem.
  3. Distilled Student's insights across other interconnected clinics with PHI sealed node-sharing - SHRUNK'ed at scarce-resourced clinics.

Hence, clinical intelligence moves while patient data never does.

🧠 The Technology: a domain-specific, Swiss sovereign open-weights LLM agent, fine-tuned and self-training on mental-health data, distils to a shrunk Student into an edge model. That supports native multilingual requirements in French, German, Italian and Swiss dialects.

🛡️ The Wedge: the Swiss National EHR and revFADP make centralized pools a legal crisis. SHRUNK provides an ecosystem where the legal crisis stays sealed at the edge of the patient's medium of access, while the necessary diagnosis conveyed remains EHR / E-GD compliant.

Mental Health × Edge AI Sovereign Swiss AI × Edge RAG
APERTUS LLM Swiss sovereign open-weights basis fine-tuned / self-training MENTAL-HEALTH LLM psychiatry-specific, privacy locked distils STUDENT · EDGE multi-node clinics, limited hardware nodes basis LLM → mental-health LLM → clinic edge
02
The Team

The minds engineering
clinical intelligence.

Immanuvel Prathap Sagayaraju

Immanuvel Prathap
Sagayaraju

Founder & Inventor

Master's student in Artificial Intelligence in Medicine at the University of Bern. When I'm not working on healthcare AI, you'll probably find me exploring the unexplored and walking the unwalked, and mostly paragliding somewhere in the Swiss skies. I'm always happy to connect, exchange ideas, and explore what we can build together.

PG Pallav Gupta

Pallav Gupta

Team Member

I love solving problems, mostly because life keeps giving me plenty of them, and I want to build something that creates value, not just income.

AS Anisha Sharma

Anisha Sharma

Team Member

Builds reliable, scalable AI applications and backend systems, with experience in LLMs, RAG, and NLP. Focused on turning complex customer needs into practical, production-ready solutions.

"What if healthcare intelligence could move, without forcing sensitive patient data to move with it?"
03
The Problem, and the Shift

What if healthcare intelligence could move
without the data?

clinic hospital therapy general practice THE BLACK BOX longitudinal story: incomplete or missing between visits, the doctor sees nothing
Adaptive workflow, black-box visible i
Between appointments the doctor knows nothing, and the long-term record is fragmented, incomplete or simply missing. SHRUNK's adaptive clinical workflow makes the patient black-box visible.
central pool stays empty clinic patient device records try to drift APERTUS EHR / E-GD mental-health LLM, privacy locked every record stays home, the pool never fills
Apertus + mental-health LLM, privacy locked i
revFADP and EHR / E-GD rules forbid pooling sensitive data. Apertus provides a sovereign, open-weights basis for a psychiatry-adapted mental-health LLM with privacy locked.
PATIENT APP record stays sealed here AIRLOCK only insight crosses CLINICIAN triage · diagnosis · treatment SHRUNK'ed insights shrink the distance
Distilled insights across clinics i
The Student distils mental-health insight and shares it through the airlock to other interconnected clinics. Only SHRUNK'ed, context-aware insight moves; the record stays sealed.
04
From Fragment to Flow

The SHRUNK dashboard turns the shadow record
into one continuous clinical story.

SHRUNK clinical intelligence dashboard Open Interactive Dashboard →

Ten clinical-intelligence blocks, document upload, PDF-ready export, patient home-chat tracking, XAI, CEAI and federation — all running on the clinic's own Apertus node. Patient data never leaves the building.

05
The Road Ahead

From PoC (Proof of Concept)
to Rollout!

BOOK & IP PROVEN PILOTS CLINICAL ROLLOUT
✓

Book chapter & IP

Foundation
Agreement signed with Springer Nature Switzerland AG, manuscript under review. Intellectual-property gathering is underway.
✓

PoC conducted

Evidence
Pipeline verified end-to-end on synthetic data. Next step: build a mental-health LLM on top of Apertus with privacy locked.
3

Clinical pilots

Real world
Swiss clinics test the doctor dashboard and patient companion app under live, everyday pressure.
4

Clinical validation

Trust
Independent psychiatrists and clinicians validate triage, note-taking, diagnosis and treatment planning; plus sovereign-AI, revFADP, privacy and cybersecurity review.
5

Regulated rollout

Scale
Swissmedic software compliance and medical-record integrations bring SHRUNK to clinics.
Grounded in the book chapter signed with Springer Nature Switzerland AG (under review): "dFRAG-Patient: An Enterprise-Grade, Privacy-Preserving Decentralized Federated RAG Framework for Adaptive Psychiatric Decision Support."
07
Summary

The whole pitch,
in one view.

The Problem
Mental health clinicians drown in fragmented contexts. Doctors at each node only see local data, so the patient is a black box between visits and doctor-to-doctor collaboration is limited. Patients miss a continuous longitudinal view for triage, diagnosis and treatment planning.
The Mandate
revFADP and the coming Swiss National EHR / E-GD rules forbid pooling sensitive data. A central fix is legally off the table.
The Solution
A psychiatry-adapted Teacher LLM built on sovereign Apertus via a LoRA adapter provides a context-aware, mental-health-curated, evidence-based ecosystem. A distilled Student shares SHRUNK'ed insight across clinics through a privacy airlock while the record stays sealed. A patient companion app adds real-time tracking and a longitudinal triage, diagnosis and treatment-planning view.
The Road
Book chapter & IP → PoC conducted → mental-health LLM on top of Apertus → clinical pilots → clinical validation → regulated rollout, with patient companion app.
The Ask, in one line
Real-world pilots, independent validation, regulatory guidance, business mentorship and network, the five partnerships that turn this prototype into a market-ready product.
Apertus / Alps Fine-tune Airlock Student Clinician Patient app
The Ask, in one line
Real-world pilots, independent validation, regulatory guidance, business mentorship and network, the five partnerships that turn this prototype into a market-ready product.
SHRUNK · dFRAG-Patient · Bern, CH Problem · Mandate · Solution · Road · Ask
06
The Ask

What turns this prototype
into a market-ready product.

Five kinds of partners make the distance disappear for good.

Pilots

Real-time study of the doctor dashboard and patient companion app among Swiss healthcare institutes, plus honest workflow feedback.

Validation

Clinical review plus independent sovereign-AI, revFADP, privacy and cybersecurity validation of the Apertus Teacher, the distilled Student and the airlocks.

Guidance

Mentorship from regulatory pioneers in Swissmedic software compliance and cantonal EMR procurement.

Mentorship

Business-model and go-to-market strategy, and placement.

Network

Building the network to create future opportunities.

SHRUNK · dFRAG-Patient be-advanced Challenge Program · Bern, CH
The Vision

One patient.
One continuous story.

SHRUNK · powered by dFRAG-Patient - sovereign, mental-health specific intelligence moves; patient data stays sealed. A companion app keeps the patient close with real-time tracking and a longitudinal view of triage, diagnosis and treatment.

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SHRUNK · DFRAG-Patient
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