Not a chatbot layer. Not a workflow tool. A production operating system with five purpose-built engines that connect communications, orchestration, intelligence, governance, and data into a single operational layer.
Captures inbound demand, qualifies it, and routes it across sales and support workflows with AI-driven follow-up and lifecycle continuity.
Unifies SMS, chat, email, voice, and contact-center workflows into a single layer across patient, provider, and internal interactions.
Tracks engagement, routing, and system performance across every interaction. Real-time visibility into outcomes and signal quality.
Connects internal teams, provider networks, and external systems into a unified operational environment.
Coordinates AI agents and human teams across routing, escalation, and execution, with deterministic controls at every handoff.
Agents act as the first touchpoint and buffer, qualifying, summarizing, and capturing context before handing it to humans on the channel of their choice.
mastOS extends your existing technical team. We configure and run the platform layer while your engineers own execution.
We step in as interim technical owner, with full platform deployment governed from day one.
A scoped engagement to evaluate readiness, define architecture, and sequence the build before commitment.
mastOS is designed for organizations where workflows are fragmented, communication is distributed, and governance is non-negotiable.
In mastOS, the AI layer and the PHI layer are not the same layer. Patient data lives in your Azure environment — BAA-covered, isolated per Harbor, never shared across clients. AI engines receive only de-identified clinical context. This is not a configuration. It is how the system is built.
Every Harbor is an isolated Azure resource group. Dedicated Cosmos DB, Postgres, Key Vault. Your data does not commingle with any other client's.
A de-identification layer runs as middleware before every AI call. Names, dates of birth, contact information — stripped before they reach any model. Cannot be disabled.
The platform's small language model trains on de-identified clinical outcomes across all Harbors. No PHI in the training pipeline. No patient identities in model weights. Ever.
Azure Resource Group RBAC enforces Harbor isolation at the infrastructure level. No application-layer workaround can breach it. Auditable. Provable. Built in from day one.
Deployed by Mast Labs. Built for regulated, revenue-critical environments.