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.
15+ hours
saved per practitioner per week across documentation, interpretation, and plan building
No
forklift integration — modules attach to the workflow you already have
10
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.
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.
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 modules this uses.
Documentation, interpretation, and protocol generation — the three manual steps that sit on top of the record.
AI Scribe
Real-time clinical note generation from patient encounters. Structured output ready for your EHR (electronic health record) or encounter surface.
Clinical Reasoning
Maps biomarkers and patient context to possible conditions deterministically. The LLM (large language model) summarizes findings; the rules engine produces them.
Nutrition Protocol Builder
Biomarker-driven meal plans, foods used as medicine, eliminations, and macronutrient targets personalized to the patient’s diagnostic and goal context.
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 ten modules are available — these are the ones this use case starts with.
How it works.
Modules attach to your existing workflow — activate one, or the whole set.
Connect the record
Patient data flows to the modules by REST API, or the SDK renders them natively in your interface.
Reason over it
Clinical Reasoning maps biomarkers and context to possible conditions, deterministically and with citations.
Generate the plan
Protocol builders produce a personalized, evidence-cited plan in the practitioner’s existing workflow.
Document it
The AI Scribe generates the structured encounter note, ready to write back to your record.
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.
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.
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.
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.
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.
— 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.
— 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.