We build the operating layer for AI in regulated healthcare.

mastOS is the platform. The architecture is proven. The first Harbor is live in production. The next one deploys in minutes.

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mastOS platform architecture
02 · WHAT WE BUILD

We build the intelligence layer.

Most AI infrastructure moves data. The hard part is what happens in between. The taxonomy, the ontology, the classification models that turn raw data into the language your environment actually uses. That is what we build.

Pillar 01

AI Infrastructure

Multi-tenant, event-driven platforms. PHI-safe, governed, observable. Architecture and orchestration designed for regulated environments from day one.

Pillar 02

Domain Intelligence

Proprietary taxonomy, ontology, and classification systems. Purpose-built small language models trained on your domain, not the open internet. The systems that decide and route.

Pillar 03

Governance

Audit trails, PHI firewalls, policy enforcement. Built into the platform, not bolted on after. Compliance as a system property, not a project.

03 · STRUCTURE
One platform. One vertical. Built to scale.
01 · PLATFORM
MASTOS
AI control plane for regulated environments.
Multi-tenant. Azure-native. PHI-safe. Harbor-isolated.
MILO · PORTER · KEEL · BEACON · SENTINEL
02 · MAST HEALTH · HEALTHCARE VERTICAL
mastOS deployed for regulated healthcare. HIPAA-compliant. BAA-ready. PHI firewall enforced at the infrastructure layer, not the application layer.
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03 · HARBORS · VERTICAL DEPLOYMENTS
LIVE
HARBOR 001 · THERALOOP
Outpatient physical therapy.
Clinical intelligence loop. First clinical partner, Fort Lauderdale, FL.
IN DEVELOPMENT
HARBOR 002
Multi-location provider groups.
Same engines. Same governance. New taxonomy, new policies. The pattern repeats.
Mast Labs is the company · mastOS is the platform · Mast Health is the vertical · TheraLoop is the proof
04 · PROOF
Where it is running.
Healthcare AI
Multi-agent orchestration for patient acquisition and care.
500K+ autonomous interactions. 96% resolution rate. 70% inbound deflection. Sub-1% error rate in production.
1:24 bot-to-human ratio
Data Intelligence · SiriusXM / Pandora
Taxonomy rebuild for large-scale music intelligence.
200M+ assets reclassified. Music Genome Project migrated from numeric to classified taxonomy. 60% analysis time reduction.
Foundation for $215M+ annual revenue impact
Platform Architecture · SiriusXM
Real-time multi-tenant data platform for subscription lifecycle.
Architecture designed and delivered. Foundation for cross-partner subscription engagement at scale.
300+ partners · 35M+ subscribers
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05 · FIELD NOTES
From the work.
Notes on building production AI in regulated environments. Long-form lives on LinkedIn.
LinkedIn · Ara Galarza · Sep 2026
Relational data versus vector retrieval was never the real question.
The workload should decide the architecture. Experience becomes dangerous when it is the answer before the question has been understood. A lesson from building TheraLoop in production.
Read on LinkedIn →
LinkedIn · Ara Galarza · Mar 2026
From AI Apps to Infrastructure.
AI at the application layer reduces task time. AI at the operating layer reduces economic drag. Operating models decide whether AI spend behaves like an expense or an asset.
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LinkedIn · Ara Galarza · Jan 2026
AI Foundations Are the Antithesis of What Meets the Eye.
Most teams do not fail because they chose the wrong model. They fail because the right questions were never asked early enough, before assumptions hardened into data structures and workflows.
Read on LinkedIn →
LinkedIn · Mast Labs · Nov 2025
Building Agentic AI: Where Assessment Becomes Architecture.
Tools automate tasks. Agentic systems understand purpose. The difference is whether intent, evidence, and accountability are wired into the architecture before autonomy is introduced.
Read on LinkedIn →
06 · WHO WE SERVE
Built for the environments where AI has to be right.
Hospital systems and payers
Evaluating AI infrastructure for regulated clinical environments at scale. The architecture conversation starts with Harbor isolation, PHI ZERO, and SENTINEL audit. Not with a demo.
Regional clinical networks
Ready to deploy a fleet. One Harbor per location group. Same engines, same governance, new taxonomy, new policies. The pattern is proven. It provisions in minutes.
Operators and founders
Building production AI in a regulated environment and need the architecture right the first time. We work with a small number of operators per year. Fit matters more than timeline.
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