EPISODE · Jul 8, 2026 · 44 MIN
The Ex-Epic Executive Turning Mach7 Into Healthcare's AI Data Backbone
from Homodeus Research · host Homodeus Research
What does it take to turn around a struggling healthcare software company — and why does the unglamorous world of medical image management matter more than ever in the age of AI? In this episode, Wei Sim of Homodeus Research sits down with Teri Thomas, CEO of Mach7 Technologies (ASX: M7T), a global enterprise imaging software company serving hospitals and health systems worldwide. Teri brings a rare playbook to the role: 20 years at Epic Systems (joining when it had under 100 employees, leaving when it had over 10,000) and a prior CEO stint at ASX-listed Volpara Health Technologies, where she led a successful turnaround before its acquisition by Lunit. They dig into why the $2B enterprise imaging market — projected to double by 2030 — is becoming critical infrastructure for the AI era, how Mach7's vendor-neutral architecture positions it as the "data lake" that AI algorithms actually need, and what makes this turnaround story different from the ones that fail. Topics covered: - What a vendor-neutral archive (VNA) is and why true neutrality is rare - Why most hospitals can't use AI at scale yet — and what has to happen first - The Flamingo modular architecture and Mach7's shift from "archive to architecture" - How Teri is applying Epic's customer success-led sales model at Mach7 - Mach7 vs ProMedicus: frenemies, coexistence, and competitive positioning - The AI trust problem in radiology: FDA approvals, proprietary data silos, and foundation models - FY27 strategic priorities: growth, product shift, and financial discipline If you're interested in healthcare IT, small-cap turnarounds, or the infrastructure layer that will underpin medical AI, this is a must-listen.
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What this episode covers
Teri Thomas, CEO of ASX-listed Mach7 Technologies, joins Wei Sim to unpack the company's turnaround, its vendor-neutral imaging platform, and why solving healthcare's "data plumbing problem" is the unlock that makes AI in radiology actually work.
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The Ex-Epic Executive Turning Mach7 Into Healthcare's AI Data Backbone
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