inou/docs/positioning-2026-03-15.md

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# inou Positioning Document
*Iaso, March 15/16, 2026. For review by Johan.*
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## The One Sentence
**The AI is a visitor. The findings are permanent. The data is yours.**
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## What inou Is
inou is personal health infrastructure.
Not an AI. Not a diagnostic tool. Not a subscription to someone else's analysis.
A vault. Your vault. For everything your body has ever produced — labs, imaging, genome, vitals, symptoms, medications, supplements. Encrypted. Private. On hardware you control.
AI connects to it, reasons about what it finds, and leaves. What it leaves behind — annotations, findings, observations — stays in your dossier. Permanently. Yours.
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## The Problem With Every Other "AI Health" Product
Every other product works like this:
Your data visits their AI. Their AI produces conclusions. Their conclusions live in their system. You are a subscriber, not an owner.
Cancel the subscription: the conclusions disappear.
Company pivots: your history is gone.
Their model hallucinates: there's no audit trail.
You want a second opinion: start from scratch.
The AI and the data are fused. You can't separate them. You don't own either.
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## How inou Is Different
inou inverts this completely.
Your data lives in your vault.
The AI connects to your vault, does its work, and leaves.
What it leaves behind — findings, annotations, observations — is dossier-native. Tagged with provenance: which AI, which model, when.
The AI is a visitor. The findings are permanent. The data is yours.
Use Claude today. Use Qwen tomorrow. Use a local model next year. The findings accumulate in the same place, readable by any AI, any physician, any future you.
No lock-in. No dependency. No expiration.
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## The Privacy Spectrum
Most "AI health" products send your data to one company's cloud. It may train their models. It lives on their servers. You agreed to this in paragraph 47 of their terms of service.
inou gives you a choice.
**Local model (Ollama, LM Studio)**
Data never leaves your device. Works offline. Complete privacy. No dependency on US cloud services, no sanctions exposure, no data leaving your country. Relevant for anyone in Russia, Nigeria, China, or anywhere with data sovereignty concerns — or anyone who simply doesn't trust cloud providers with their medical history.
**Privacy-first cloud (Fireworks.ai, Together.ai, Groq)**
Explicit no-training policies. Often BAA-eligible. Data processed in the call, not retained. Good capability at reasonable cost.
**Standard cloud (OpenRouter, Anthropic, OpenAI)**
Capable models, standard data retention policies. User controls what they share and when.
inou doesn't make this decision for you. It makes you informed, gives you options, and lets you choose what fits your threat model.
*Your data stays in your vault. What happens when you run a prompt depends on which AI you choose. We support all of them.*
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## Annotations & Findings: The Architecture That Makes This Real
When an AI analyzes Sophia's MRI — whether it's Claude, a local Llama model, or a future model that doesn't exist yet — it can write what it found directly into her dossier.
Not into its own system. Into hers.
An annotation: a visual marker on slice 14, left temporal lobe, flagged for review.
A finding: "Signal asymmetry noted on AX T2, left temporal region. Correlate with clinical presentation."
Both tagged: `["ai", "claude-sonnet-4-6", "2026-03-15"]`
Both dismissible. Never deleted — the audit trail remains even if dismissed.
Both readable by any future AI, any future physician.
Both hers, permanently, regardless of which AI made them or whether that AI still exists.
This is what "infrastructure" means in practice. The AI is a consultant who visits, examines, leaves a note in the chart, and goes home. The note stays. The patient owns the chart.
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## Who This Is For
**The girl in the gym**
She's always tired. Her doctor says she's fine. She has a Garmin, a 23andMe file, and three years of lab results she doesn't understand. She wants answers — not another referral.
inou gives her AI everything it needs. She runs a prompt: *"Why am I always tired?"* The AI cross-references her iron trend, her thyroid, her cortisol, her DIO2 genome variant, and her sleep tracker. It tells her what's low, what it means, what she can do about it — without telling her to ask her doctor before buying a vitamin.
She's in control. She always was. Now she has the tool to act like it.
**The caregiver**
Johan spent three years collecting Sophia's records from MyChart, uploading scans, logging symptoms, building a picture no single specialist ever had. The hospital gave up in the first week. He didn't.
inou is what he built because it didn't exist. Now anyone in his situation has it from day one — not three years in.
**The medical student in Lagos**
EkoUNIMED students don't have Claude Desktop subscriptions or US credit cards. They have laptops, Starlink, and inou accounts.
The prompt library works anywhere with a browser. A local model means no dependency on US cloud services. The findings and annotations stay in the dossier — permanent, educational, building a clinical reasoning record that travels with the patient.
Clinical education tool. Diagnostic reasoning framework. Works in any jurisdiction.
**The physician who wants the full picture**
Dr. Ibraheem connects to Sophia's dossier. He sees three years of labs, two brain MRIs, a spine study, the May 2022 acute illness record, the EEG findings, the AI annotations from previous sessions. He doesn't ask Johan to summarize. He looks.
That's a different consultation. That's what inou is for.
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## What inou Is Not
Not an AI service.
Not a diagnostic tool.
Not a medical device.
Not a replacement for clinical judgment.
inou doesn't analyze your data. Your AI does.
inou doesn't diagnose. You ask better questions because of what inou makes possible.
inou doesn't treat. It informs.
The liability surface is clear: inou is infrastructure. The pipe, not the water. The vault, not the verdict.
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## The Prompt Library
The add-on chat interface — coming — is not an open chatbot.
It's a curated library of clinical reasoning workflows. Each prompt is a structured question designed to extract specific insight from specific data. The user selects a prompt. The system assembles the relevant context from the dossier. The AI runs the workflow. The result comes back structured, thorough, and actionable.
**Cheap prompts** (text-only, fast, low cost):
- Cross-reference my blood work with my symptoms and supplements
- What do my latest labs say about my energy levels?
- Are my supplements reflected in my lab values?
**Expensive prompts** (multi-series imaging, genome + lab cross-reference, full dossier synthesis):
- Review all available brain MRI series and compare findings across studies
- Cross-reference my structural brain findings with my growth data, hormonal labs, and developmental history
- Full dossier synthesis: what patterns exist across imaging, labs, genome, and symptoms that no single specialist has seen together?
The prompt library is the opinionated product. Each prompt embeds a clinical reasoning philosophy — thoroughness, contradiction-seeking, cross-category connection — that a general AI chat does not.
The expensive prompts are where the value is. They're also where the IP is. Nobody else can write them because nobody else has spent three years learning what questions matter.
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## The Positioning Summary
| What they say | What inou says |
|---|---|
| "AI reads your health data" | "Your AI reads your health data" |
| "Get answers from AI" | "Give your AI everything it needs to answer" |
| "Your health, analyzed" | "Your health, connected" |
| "Our AI finds what was missed" | "Your AI finds what was missed — we just make sure it has everything to look at" |
| "Subscribe to our AI" | "Bring your own AI. Or use ours." |
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## The Headline
*Your doctor had 15 minutes.*
*Your AI has all night.*
*Tell it everything.*
*Every scan. Every lab. Every symptom you forgot to mention.*
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*Document prepared: March 15/16, 2026*
*Author: Iaso*
*For review: Johan Jongsma*
*Implementation: James (CoS)*