Tera is the AI-Native, Practitioner-Supervised Execution Layer for Healthcare

Healthcare doesn’t fail at diagnosis or recommendations. Care breaks down the moment patients leave the hospital, clinic or doctor's office.

Tera is embedded execution software for provider organizations, health platforms, and labs—using AI Agents under practitioner supervision to turn patient data into executable protocols, daily actions, and measurable adherence between visits.

AI Agents handle analysis, guidance and track whether protocols are actually being followed. Practitioners supervise and adapt protocols based on execution signals. Patients take action.

Who we are for

Who Tera Is Built For

Tera is execution infrastructure for organizations responsible for real-world health outcomes.

Clinics & Provider Organizations

Supervise protocol execution between visits and intervene where it matters most.

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Health & Wellness Platforms

Embed supervised AI execution into existing products—without rebuilding workflows.

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Labs & Diagnostics Companies

Turn test results into practitioner-approved protocols and daily action.

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Food, Supplement & Health Commerce Partners

Power protocol-driven meal plans, supplement stacks, and compliant health commerce.

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Tera embeds in to existing workflows via API or SDK —partners keep their UI, data, and customer relationships.

Why Tera Exists

The Biggest Failure Point in Healthcare Isn’t Diagnosis — It’s What Happens After

Post-Visit Is the Danger Zone

Care shifts from supervised → self-managed
Instructions multiply
Accountability drops to zero

Non-Adherence Is the Norm

30–50% of patients don't follow plans
Medication adherence <50% after 6 months
Lifestyle protocols perform worse

The Black Hole Between Visits

Clinicians lose visibility
Patients lose reinforcement
Problems escalate silently

Healthcare doesn't fail at insight.
It fails at execution between visits.

Solution Overview

Tera: Where Healthcare Gets Executed — Under Supervision

Healthcare doesn’t need more AI intelligence.

It needs infrastructure that ensures intelligence is executed safely, effectively, under practitioner supervision, and at scale.

Tera solution overview

Tera is a practitioner-supervised AI execution layer connecting patients, clinicians, and partners—turning care plans into daily action, adherence, and outcomes.

Tera is live in Production
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How It Works

Supervised Protocol Execution Between Visits

The Health OS has systems of record for visits and data—but none for supervised protocol execution between visits.

Tera fills that gap.

How Tera works — supervised protocol execution

Without daily capture, supervision, and adaptation, there is no real execution.

Capabilities

What the Tera Platform Does

  • AI analyzes labs, symptoms, and patient data
  • AI drafts diagnostics, protocols, and documentation
  • Practitioners review, approve, and supervise
  • Patients execute protocols through daily actions
  • AI monitors adherence and surfaces meaningful signals, suggesting protocol adaptations to practitioners
  • Practitioners decide when and how to adapt protocols
  • Approved protocols trigger food, supplement, testing, and wellness orders

This shifts practitioner time from administration to supervision—and transforms care plans into measurable execution.

Why Nutrition

Why We Started with Nutrition

High-Frequency Execution

  • Multiple daily touchpoints
  • Rich real-world signal

Low Risk, High Signal

  • Safe surface for AI supervision
  • Fast biological feedback

Natural Commerce Connection

  • Protocol-driven meal plans and supplement stacks drive seamless commerce.

Nutrition is where execution happens daily—and where learning compounds fastest.

Why Tera Is Different

The Differentiation: Supervised Execution That Learns

Patient-Level Execution Intelligence

  • Personalized protocol refinement
  • Dynamic adjustments from real-world signals
  • Safer AI autonomy under practitioner control

Practitioner-Level Execution Intelligence

  • Each supervised protocol improves the platform
  • Phenotype discovery: what works, for whom, and why
  • Outcome-linked learning across cohorts

Models reason. Tera learns from real-world execution.

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Build Where Healthcare Actually Happens

For clinics, platforms, and labs responsible for outcomes—not just insights.