Ship a coaching layer across every brand on your platform.
Infrastructure providers are already adding coaching and registered dietitian services as a module their client brands can turn on. The clinical engine underneath it — reasoning, protocol generation, and a patient app — is what we license, so you can offer it without building it.
1
clinical engine serving every brand on your platform, each one white-labeled
6
lifestyle protocol builders, so coaching goes beyond food and exercise
0
clinical content to write — the protocol library and citations come with it
Your clients want a coaching layer. Building one is a clinical project, not an engineering one.
The hard part isn't the app. It's the protocol library, the evidence base behind every recommendation, and the safety architecture that lets a clinician sign off on what the system produced.
Build it yourself
A generalist coaching module gets a brand something to offer, but the guidance is thin — the same advice regardless of which program the patient is on, or which drug they take.
Going deeper means hiring clinical staff to write protocols, sourcing and maintaining the evidence base, and building the review workflow that keeps a licensed clinician in the loop. That is a multi-year clinical build, not a sprint.
License the engine
Clinical Reasoning interprets each patient’s intake and labs. The protocol builders generate a personalized plan across six domains, cited and ready for a practitioner to approve.
The Tera Patient Copilot delivers it daily — embedded in each brand’s own app or hosted under their name. One integration at your level reaches every brand on your platform.
The modules this uses.
A coaching layer needs reasoning, protocol generation, and a patient surface. These are the modules that provide them.
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.
Fitness Protocol Builder
Strength, cardiovascular, and mobility programs calibrated to functional capacity and recovery patterns.
Sleep Optimization Protocol Builder
Sleep architecture, circadian, and recovery protocols using HRV (heart rate variability), deep-sleep, and REM (rapid eye movement) signals from wearables.
Stress Management Protocol Builder
Mind-body, breathwork, and parasympathetic recovery protocols matched to the patient’s stress profile.
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.
One integration at the platform level; each client brand turns it on without its own engineering work.
Integrate once
Your platform connects to the Tera API Layer — patient events in, protocols and adherence back out.
Brand turns it on
A client brand activates the coaching layer for a program. No separate build, no new vendor for them to manage.
Practitioner approves
Their clinician — or a practitioner we supply — reviews and signs the generated plan before it reaches the patient.
Patient is coached daily
The Patient Copilot runs the plan between visits, under the brand’s name, with escalations routed back to the clinician.
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.