EnterpriseTechnology licensingGLP-1 - Drug Manufacturers

Give your direct-to-consumer pharmacy the GLP-1 coaching layer that keeps patients on the drug.

When you sell GLP-1 (glucagon-like peptide-1) drugs direct, the fulfillment is yours but the outcome still depends on whether the patient stays on treatment. License the clinical reasoning and protocol layer that turns a shipped prescription into a supported one — under your own brand, without a clinical build.

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

Talk to Enterprise
TeraPro protocol builder and patient health tracking application

50%

increase in GLP-1 drug adherence at month 12, with coaching

1

clinical engine, one integration, for every patient your pharmacy fulfills — covered or paying cash

0

clinical staff to hire — the protocol library and evidence base come with the license

The gap

Shipping the drug is the easy part. Keeping the patient on it is not.

Many manufacturers now fill prescriptions themselves, at a cash price, specifically for patients whose insurance doesn't cover the drug — coverage for GLP-1 drugs varies enormously by plan, and roughly half of commercial plans exclude it entirely. That patient, who usually already has a prescriber, gets the drug shipped — and often nothing else.

Today

A GLP-1 prescription, shipped

01
02
?
PrescriptionFulfillmentSupport

Your direct-to-consumer pharmacy does the hard part well: verification, fulfillment, refills. For the cash-pay patient who already has a prescriber, that's often where the relationship ends.

Building a coaching layer to keep that patient on the drug means clinical staff, an evidence base, and a review workflow — a multi-year clinical build most manufacturers have no reason to take on themselves.

With Tera modules

A GLP-1 prescription, supported

01
02
PrescriptionFulfillmentSupported
Clinical reasoningPersonalized protocol

Clinical Reasoning maps the patient's overall health — their conditions, history, biomarkers, and the specific drug and dose they're on — so the protocol builders can generate a plan that accounts for what else is going on with that patient, not just the prescription.

That plan addresses the side effects and lifestyle changes that determine whether the drug gets a real chance to work, and the Tera Patient Copilot delivers it daily, white-labeled under your own brand, alongside the fulfillment experience the patient already trusts you for.

The shift

From shipping a prescription to supporting the patient who takes it.

FulfillmentClinical supportSupported treatment

Technology licensing

The modules this uses.

A fulfillment-only relationship needs reasoning, a protocol, and a way to deliver it — without touching your pharmacy operations.

Module 01

Clinical Reasoning

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

Module 02

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 03

Fitness Protocol Builder

Strength, cardiovascular, and mobility programs calibrated to functional capacity and recovery patterns.

Module 04

Stress Management Protocol Builder

Mind-body, breathwork, and parasympathetic recovery protocols matched to the patient’s stress profile.

Module 05

Tera Patient Copilot

Coaches patients daily between visits, and logs what the plan asks for: food, supplements, and workouts completed, plus symptoms the patient reports. That log feeds back into the protocol so it can be adjusted. White-labeled (hosted by Tera) or embedded as an SDK (software development kit) in your patient app.

Daily coaching→Adherence→Symptoms→Protocol adjustment

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

How it works.

A layer added alongside fulfillment, not a replacement for it.

Step 01

Patient data in

Intake, prescription, and health history pass into Clinical Reasoning through the API.

Step 02

Protocol generated

The builders generate a plan personalized to the drug’s titration phase and the patient’s other conditions.

Step 03

Practitioner signs

A clinician — yours, or one we supply — reviews and approves the plan before it reaches the patient.

Step 04

Coached daily

The Patient Copilot delivers the plan under your brand, and logs the patient’s adherence and symptoms.

Step 05

Symptoms analyzed, plan adjusts

The logged symptoms and adherence feed back into the protocol, so it can be adjusted to reduce side effects.

Continuous feedback. The logged symptoms and adherence feed back into the protocol, so it can be adjusted to reduce side effects.

Clinical architecture

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.

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.

02

Reasoning

Reasoning is rule-anchored, not improvised

Tera does not ask a language model to interpret biomarkers or a drug’s effects on its own. A proprietary clinical knowledge base maps lab results to functional ranges deterministically, then to conditions and protocols. That same knowledge base now also hosts drug-specific protocols — starting with GLP-1 nutrition and fitness protocols — mapped to the drug’s titration dosage phases and its known side effects, and personalized to the patient’s other health conditions. The model only summarizes what the rules produced.

03

Evidence

Every recommendation is evidence-cited

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

Architecture

Rules produce the findings. AI communicates them.

Rule-anchored
Practitioner-reviewed
Evidence-cited

Deployment

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

— 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.

Same clinical AI underneath
II

— 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.

Same clinical AI underneath
III

— 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.

Same clinical AI underneath

Integration options

Choose how much of the interface you want Tera to provide.

API only→Embedded SDK→White-label hosted

Technology licensing

License the GLP-1 coaching layer between the shipment and the outcome.

Practitioner-supervised
Rule-anchored clinical reasoning
Evidence-cited protocols
Talk to Enterprise