ABOUT

Mast Labs builds AI systems that have to work.

Mast focuses on AI infrastructure in environments where failure has real consequences. The work connects acquisition, communication, and workflow systems into production infrastructure that teams rely on.

Ara Galarza

Managing Principal

Ara Galarza builds and runs AI platforms in production, in regulated and high-scale environments.

She led data, AI, and subscription platform architecture at SiriusXM and Pandora, contributing to systems supporting tens of millions of subscribers across an $8B ecosystem. Most recently, she led AI platforms and infrastructure at a regulated digital pharmacy, designing production multi-agent systems, PHI-safe dual-cloud architecture, and communications infrastructure across patient engagement and revenue operations.

Before Mast Labs, Ara founded and operated a culinary SaaS marketplace, building the platform and running the business firsthand.

She founded Mast Labs to do this work on her own terms, with the organizations that understand why the foundation matters. She built it while recovering from a serious accident, managing chronic pain, uncertainty, and rebuilding simultaneously.

We plug in, build, and run.

Why Mast exists

On a sailboat, everything depends on the mast.

It holds the structure together. It carries the load. It allows movement without instability.

You don't notice it when things are working. But without it, nothing moves.

That's what we build.

What makes us different

Mast is built from the operator side of AI, not the vendor side.

Systems must be explainable, observable, and accountable in production.

Agents are a utilization layer; they do not define the system.

Humans remain in the loop at every handoff between systems, agents, and people.

The real moat is the domain intelligence, the taxonomies and routing logic that act as the brain of the system.

That’s what we build.

Mast works with organizations and investors building AI systems where reliability, integration, and operational impact matter.