Live · v2.4 · HDS-conform · clinician-in-the-loop
A clinical vertical LLM // 2026

The engine
that turns any
content into care.

Analyzing 48s of patient voice · FHIR context loaded
Signal · input
🎙 "I feel short of breath after climbing stairs."
Literacy · matched
Grade 6 · ES-MX
Safety layer
3 rules passed · clinician approved
Delivered
Micro-lesson · 90s audio · quiz
Book a 20-min demo → See the platform K Talk to Saana
−30%
Avoidable readmissions, at pilot sites with chronic-care cohorts.
15+ languages
Cultural & literacy adaptation — from Grade 3 to clinical register, per patient.
<90s
From PDF or discharge note to personalized lesson, audio summary & quiz.
100%
Clinician-verified. HDS-conform. Full audit trail, every output sourced.
Co-designed with clinicians at
02 · For whom

One engine. Two sides
of the same care loop.

Saana plugs into the clinician's workflow and the patient's daily life at once — providers keep control and context, patients get education that actually adapts.

Providers · clinicians · payersA

Give your team an engine,
not another dashboard.

Upload guidelines, discharge notes or existing materials. Saana turns them into compliant, multi-modal education — auto-routed to the right patient at the right moment.

  • FHIR-native · drops into Epic, Doctolib, Maiia, HDS-hosted EHRs.
  • Full audit trail · every output is sourced, versioned, clinician-signed.
  • Real-time gap detection — know who's falling behind, and why.
Cohort · Post-MI recovery124 patients
Engagement (7d)87%
Flagged for clinician review6
Patients · members · caregiversB

Care that listens,
in plain language.

A voice-first assistant that meets people where they are — their language, their literacy, their context. No more generic PDFs. No more guessing with ChatGPT.

  • Voice, text, audio, or written — whatever works today.
  • Adapts to reading level, culture & EHR context in real time.
  • Escalates to a human clinician the moment it should.
S
Hi Maria — your cardiologist shared your discharge plan. I can read it out loud, or answer any question. Would you like a 2-minute audio summary?
M
Sí, por favor. Y explícame lo de la aspirina.
S
Claro. 🔊 Reproduciendo… "La aspirina a dosis baja ayuda a…"
03 · How it works

Any content in. Personalized
care out. In under 90 seconds.

Step 01 · Ingest

Drop any asset you already have.

PDFs of protocols. Discharge notes. Explainer videos. Audio from a clinician. Saana parses them, normalizes them, and links them to the stateful patient graph.

PDFACC/AHA Hypertension guideline.pdfParsed · 47 concepts
MP4Post-op physio intro.mp4Transcribed · FR
M4ADr. Alami · 02:14Processing…
IMGECG-2026-04-18.pngLinked · patient #482
Step 02 · Engine

The Saana engine — a stateful clinical stack.

Not a generic chatbot. A vertical architecture built for clinical ambiguity, with deterministic guardrails.

Stateful patient graphFHIR · Persistent
Agentic reasoningContext RAG · Clinical logic
Safety layerRule-gated · Zero-trust
Step 03 · Deliver

One upload → the right format for the right person.

Every output is sourced, clinician-approved, and adapted to the patient's literacy, language and cultural context — across any channel.

Audio summary · 90sES-MX · Grade 6
Interactive quiz · 4 qFR · Grade 9
Micro-lesson · 2 minAR · Grade 5
Smart reminder · SMSEN · 08:00
Clinician brief · PDFEN · Clinical
04 · Under the hood

A vertical LLM for clinical work — not a wrapper on a general model.

01 / Stateful Patient Graph

Memory that compounds, per patient.

A persistent, FHIR-compliant graph capturing clinical state across every touchpoint — so every answer is contextual, not generic.

FHIR-native Persistent Compounding
02 / Agentic Reasoning

Specialized agents for clinical ambiguity.

A system of specialized agents — triage, education, adherence, escalation — that handle the messiness of real medical workflows.

Context-aware RAG Clinical logic Dynamic routing
03 / Safety Layer

Deterministic guardrails. Clinician-in-the-loop.

A rule-based gate sits between model output and patient. Every delivery is sourced, traceable, and signed — hallucinations never reach the patient.

Rule-gated Zero-trust HDS-conform
The learning loop

Every interaction makes the next one better — for every patient.

Virtual patient personae, generated from the stateful graph, are used in reinforcement testing — so real patients never bear the cost of system improvement.

Saana ENGINE Interaction analyzed SIGNAL IN Knowledge gap IDENTIFIED Adaptive content DELIVERED Understanding MEASURED
05 · Outcomes that compound

We don't sell content.
We sell behavior change.

Per avoided readmission
$12–17K

Saved per case, per hospital — compounding across insurer contracts and patient cohorts. Pilot evidence across chronic-care programs.

Source · PMC/NCBI · 2024
−30%
Reduction in avoidable readmissions across pilot chronic-care cohorts.
3.4×
Patient engagement vs. static PDF / video education baselines.
15+
Languages and literacy levels — delivered from the same upload.
07 · FAQ

What clinicians
ask us first.

Q · 01
Does Saana replace my EHR or workflow tools?
No. Saana sits alongside your EHR. We plug into FHIR-native systems (Epic, Doctolib, Maiia and others) and route outputs through your existing channels — SMS, patient portal, app. Your workflow stays intact; patient education becomes continuous.
+
Q · 02
How do you prevent hallucinations from reaching patients?
Every output goes through a deterministic, rule-gated safety layer, is traced to a sourced passage, and can be clinician-signed before delivery. The model never speaks directly to the patient without guardrails.
+
Q · 03
Is my data used to train general models?
Never. Saana is HDS-conform, hosted on certified infrastructure in your region. Patient data stays in the tenant. No training on customer data without explicit, contract-level consent.
+
Q · 04
How long does onboarding a clinic really take?
A typical pilot goes live in 2–4 weeks: 1 week of content ingestion and persona mapping, 1 week of clinician review, and a staged rollout to patients. No custom integration is required to start.
+
Q · 05
What outcomes can we realistically measure in 90 days?
Engagement rates, knowledge retention (quiz-derived), adherence proxies, and time-to-first-follow-up. On chronic cohorts, we've observed measurable shifts in avoidable readmission risk within a single quarter.
+
Our name means "healing" · سانا
Saana.
08 · Get started

Turn your next PDF into the
best care conversation your patients
have had all year.

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