How we’re making healthcare commercialization more transparent, accountable, and privacy-first.

Healthcare commercialization has a data problem.

The industry still runs on disconnected systems, slow workflows, and black-box vendors. That makes it harder for healthcare companies to reach the right patients, measure what works, and operate responsibly in an AI-driven world.

This matters for two reasons.

• First, a system this important should not operate this inefficiently. Healthcare affects nearly everyone, yet many of the underlying systems powering commercialization still lack the transparency, accountability, and interoperability expected from far less consequential industries.

• Second, when healthcare organizations can connect data, insight, and activation more effectively, they can help people get information, treatment, and care sooner.

That is the opportunity BranchLab is building toward.

Following our $26 million Series A announcement, the BranchLab team came together in Boulder to align around the next phase of the company: Scaling infrastructure designed to make healthcare commercialization more transparent, accountable, and privacy-first from the ground up.

The conversations throughout the week focused less on celebration and more on the scale of the challenge ahead. Building AI infrastructure for healthcare requires more than better models or larger datasets. It requires systems that can operate securely inside regulated environments while maintaining speed, explainability, compliance, and trust simultaneously.

Our Data Science and AI team walked through how Pathwai™ is evolving to help pharma teams operationalize AI responsibly inside complex healthcare ecosystems. Product discussions centered on a clear market gap: Customers need faster, more transparent ways to build audiences, optimize campaigns, and measure outcomes without sacrificing governance or accountability.

Privacy remained central throughout. In healthcare, privacy cannot function as a legal checkpoint at the end of the process. It must exist as infrastructure from the beginning, shaping architecture, workflows, measurement, and how AI systems themselves are designed and deployed.

The week also reinforced an important reality about scale. Real scale is not just growth in headcount or revenue. It is the ability to move faster as complexity increases without losing clarity, product quality, or customer trust. That becomes especially important in healthcare, where mistakes compound quickly and trust is difficult to rebuild once lost.

And while the work dominated the agenda, the energy around the team reflected the culture we are building alongside the technology, including bike rides through Boulder, hikes near the Flatirons, climbing sessions on the wall in our new building's lobby, and a lovingly aggressive company-wide Dominion tournament that became its own form of strategic warfare by the end of the week.

Congratulations to Hector Sanchez, Rachel Lindzon, and Carla Ellefsen for winning the Dominion tournament. As a prize, each will receive a holographic Dominion card made in their likeness, which is exactly as awesome as it sounds.

Throughout the week, the team embraced the new shared reality that healthcare needs new infrastructure for the AI era, and building it correctly can improve how people find, understand, access, and stay connected to the care and resources they need.

That is the next chapter for BranchLab: Building the AI infrastructure for healthcare, together.

BranchLab is continuing to grow across Boulder and New York, with open roles across functions for exceptional people who want to help build the next infrastructure layer for healthcare commercialization. Explore our open roles.