— 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.
Your Patients Stay on Therapy.You Keep Every Refill.
A Medication Companion for retail, online and grocery pharmacies. health coach and trainer coaching that carries your GLP-1 patients through the weeks when side effects make them quit, so the next refill comes back to you.
50% increase in GLP-1 adherence at month 12 with coaching.
50%
increase in GLP-1 adherence at month 12 with coaching.
Source: Omada Health, Enhanced GLP-1 Care Track 12-month analysis (Jan 2026); GLP-1 Flex Care announcement (Mar 2026).
6
protocol domains per patient, built from rules
0
clinicians to hire with the Managed Solution
The gap
You fill the prescription. Nobody coaches the weeks in between.
Patients rarely quit a GLP-1 because it stopped working. They quit over nausea, constipation and muscle loss in the first weeks and months, and those side effects respond to nutrition, exercise and sleep coaching. Every patient who quits is a refill you lose.
Prescription filled
Patient starts therapy
Fill complete
The weeks in between
This is where patients need support.
NauseaConstipationMuscle loss
Nutrition
Exercise
Sleep
Next refill
Stay on therapy
Every patient who quits is a refill you lose.
Your stake is the refill. You don’t sell a care subscription, so every month a patient stays on therapy is a month of dispensing you keep. And if you run your own weight program, we are the coaching layer you don’t have to build.
Pharmacy models
One program, three kinds of pharmacy.
The same companion and the same clinical engine underneath, fitted to how your patients already reach you.
01
01
Retail pharmacies
Turn every GLP-1 fill into a coaching relationship, not just a transaction. Coaching runs in your app and alongside your weight program, keeping patients on therapy and coming back to the counter.
Medication Companion
02
02
Online pharmacies
You dispense and ship, but you don’t prescribe. Add personalized coaching between shipments, instead of generic wellness content, so patients stay on therapy and on your refill schedule.
Medication Companion
03
03
Grocery pharmacies
The only pharmacy that can put the nutrition plan in the cart. Each plan becomes a shopping list of protein, produce and GLP-1-friendly food, turning patients into coached shoppers in your aisles, and your in-store dietitians can build on it.
Medication Companion
Shared foundation
One companion•One clinical engine•Fitted to how your patients already reach you
The workflow
How it works.
From the first fill to an approved, personalized plan, and the loop that keeps adjusting it as side effects change.
01
Fill recorded
A titration-schedule handoff passes the drug, dose and schedule to the TeraHealth platform, and again whenever the schedule changes.
02
Plan built from rules
The Protocol Builders apply the rules in our clinical knowledge bases to the drug’s titration phase and the patient’s other conditions. AI only summarizes what the rules decided.
03
Health coach and trainer approve
A health coach and personal trainer review and approve the plan before it reaches the patient.
04
Coached between refills
The app delivers the plan under your brand, with coaches on hand, and the patient logs adherence and symptoms. For grocery, the plan turns into a shopping list.
05
Plan adjusts
Logged symptoms run back through the rules, so the plan can be adjusted to reduce side effects, with RDN and personal trainer approval each time.
01
Fill recorded
A titration-schedule handoff passes the drug, dose and schedule to the TeraHealth platform, and again whenever the schedule changes.
02
Plan built from rules
The Protocol Builders apply the rules in our clinical knowledge bases to the drug’s titration phase and the patient’s other conditions. AI only summarizes what the rules decided.
03
Health coach and trainer approve
A health coach and personal trainer review and approve the plan before it reaches the patient.
04
Coached between refills
The app delivers the plan under your brand, with coaches on hand, and the patient logs adherence and symptoms. For grocery, the plan turns into a shopping list.
05
Plan adjusts
Logged symptoms run back through the rules, so the plan can be adjusted to reduce side effects, with RDN and personal trainer approval each time.
Clinical boundary
The prescriber stays in charge of the drug. Coaches handle lifestyle only: nutrition, exercise, sleep and side-effect coaching. Dosing, lab interpretation and risk conversations go back to the patient’s prescriber.
Three ways to deploy.
Pick the integration depth that matches your engineering capacity and brand requirements. All three deliver the same clinical AI underneath.
— 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 — MANAGED SOLUTION
We host the interface; we provide the coaches; you brand it
Tera hosts the full practitioner portal and Patient Copilot. Custom domain, custom theme, our infrastructure — no engineering work on your side. And we provide health coaches and personal trainers.
Integration options
Choose how much of the interface you want Tera to provide.
API only
→Embedded SDK
→Managed Solution
Safe Clinical AI
Safe AI you can trust with a prescription.
Built to pass your compliance, legal and clinical leadership reviews.
Safe Clinical AI
Three safeguards before the patient sees the plan
01
Practitioner-supervised by design
A health coach and personal trainer review and approve every plan before it reaches the patient. Coaches handle lifestyle only. Dosing, labs and risk conversations always go to the prescriber.
02
Rule-based, not AI-generated
Clinical decisions come from rules in our clinical knowledge bases, built and maintained by our clinical lead (a Medical Doctor and MS in Nutrition): biomarkers to conditions, conditions to protocols, drugs to protocols, and goals and conditions to foods. AI never generates a hypothesis or a protocol; it only integrates and summarizes what the rules decided.
03
Condition protocols are evidence-cited
When the Clinical Reasoning Engine identifies a condition, the protocol it recommends for that condition is backed by peer-reviewed citations. Audit-ready and inspectable.
Medication Companion for pharmacies