Add clinical reasoning to your feature stack.

Your platform already holds the patient record. The modules add what the record doesn't do on its own — interpreting the data in it, generating personalized protocols from that interpretation, and writing the encounter note — inside the workflow your practitioners already use.

Practitioner-supervised. Rule-anchored. Evidence-cited. HIPAA (Health Insurance Portability and Accountability Act)-compliant, BAA (business associate agreement)-ready.

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TeraPro protocol builder and patient health tracking application

15+ hours

saved per practitioner per week across documentation, interpretation, and plan building

No

forklift integration — modules attach to the workflow you already have

9

modules, activated individually as your roadmap allows

The record is complete. The clinical work on top of it is still manual.

Your practitioners document in your system, then do the interpretation and the planning outside it — which is where their time goes and where your platform stops adding value.

TODAY

A system of record

The chart holds labs, history, and notes. Turning that into a clinical picture and a plan is the practitioner’s own work, done from memory and experience, and the platform has no part in it.

Building that capability in-house means a clinical knowledge base, an evidence pipeline, and a safety architecture your compliance team will accept — years of work outside your core product.

Tera

WITH TERA MODULES

A system that reasons

Clinical Reasoning interprets the data already in the chart and returns findings with citations. The protocol builders generate a personalized plan the practitioner edits and signs.

The AI Scribe writes the encounter note in structured form, ready for your record. Every module is a feature you ship without a clinical build behind it.

The shift

Keep the record. Add the intelligence on top.

RecordInterpretationProtocolDocumentation

Clinical stack

The modules this uses.

Documentation, interpretation, and protocol generation — the three manual steps that sit on top of the record.

Module 01

AI Scribe

Real-time clinical note generation from patient encounters. Structured output ready for your EHR (electronic health record) or encounter surface.

Module 02

Clinical Reasoning

Maps biomarkers and patient context to possible conditions deterministically. The LLM (large language model) summarizes findings; the rules engine produces them.

Module 03

Nutrition Protocol Builder

Biomarker-driven meal plans, foods used as medicine, eliminations, and macronutrient targets personalized to the patient’s diagnostic and goal context.

Module 10

Tera Patient Copilot

AI patient portal that coaches patients daily between visits. White-labeled (hosted by Tera) or embedded as an SDK (software development kit) in your patient app.

All nine modules are available — these are the ones this use case starts with.

4 modules shown

From record to action

How it works.

Modules attach to your existing workflow — activate one, or the whole set.

01

Step 01

Connect the record

Patient data flows to the modules by REST API, or the SDK renders them natively in your interface.

02

Step 02

Reason over it

Clinical Reasoning maps biomarkers and context to possible conditions, deterministically and with citations.

03

Step 03

Generate the plan

Protocol builders produce a personalized, evidence-cited plan in the practitioner’s existing workflow.

04

Step 04

Document it

The AI Scribe generates the structured encounter note, ready to write back to your record.

Clinical safeguards

Safe AI you can embed.

Clinical defensibility is the precondition for embedding AI into any healthcare platform — three architectural pillars built to pass your compliance, legal, and clinical leadership reviews.

Pillar 01

Supervision

Practitioner-supervised by design

Tera AI generates; the licensed clinician approves. Every condition hypothesis, every protocol, every adjustment is reviewed and signed off before it reaches the patient.

Pillar 02

Reasoning

Reasoning is rule-anchored, not improvised

Tera does not ask a language model to interpret biomarkers. A proprietary clinical knowledge base maps results and wearable metrics to functional ranges deterministically, then to conditions and protocols. The model only summarizes what the rules produced.

Pillar 03

Evidence

Every recommendation is evidence-cited

Three knowledge bases — biomarker to condition, condition to protocol, food to condition and health goal — with every mapping backed by peer-reviewed citations. Audit-ready and inspectable.

Clinical AI architecture

Rules produce the findings. AI communicates them.

Practitioner supervisedRule anchoredEvidence cited

Integration

Three ways to deploy.

Pick the integration depth that matches your engineering capacity and brand requirements. All three deliver the same clinical AI underneath.

I

API ONLY

Server-to-server REST API

You build the UI (user interface) inside your own application. Authentication via OAuth or API key. Modules return structured JSON your app renders natively.

API
II

EMBEDDED SDK

Drop-in React components

Your brand, your styling, our clinical logic. Embed the modules as React components in your existing application without building the interface from scratch.

SDK
III

WHITE-LABEL HOSTED

We host the interface; you brand it

Tera hosts the full practitioner portal and Patient Copilot. Custom domain, custom theme, our infrastructure — no engineering work on your side.

Hosted

Integration spectrum

Choose how much of the experience you want to own.

API
SDK
Hosted
Your infrastructureTera infrastructure

Ship clinical AI without building a clinical engine.

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