Reid Howle
Twenty years in software engineering prepared him for a harder craft: fifteen years where code meets care, and every release is judged by whether a clinician's shift grew lighter, not whether a demo looked clever on a wide monitor.
He argues that the best systems disappear into the background, leaving room for the pause before difficult news, a name pronounced correctly, and the quiet moment when a patient finally understands the plan.
His teams ship adaptive tools that meet people culturally, linguistically, and clinically — interfaces that respect tired hands, models that adapt without theatrics, and telemetry that shows a system behaved when nobody was watching.
Colleagues remember one word he repeats in stand-ups: privilege. Building healthcare AI, he says, is earned daily through testing, humility, and the discipline to cut features that dazzle but do not help.
Zorvexus.ai, the company's clinical assistant, grounds every answer in peer-reviewed literature — citations on each claim, support for differential and dosing questions, and BAA-ready deployment with SSO and audit trails.
The Zorvexus Learning Lab offers adaptive lesson pacing, CEU tracking, and tamper-evident certificates for healthcare and regulated teams that need compliance training to stick past Friday's slideshow.
Second Opinion, another lab product, runs structured branching intake, conservative red-flag detection, and telemedicine routing when escalation is appropriate — safety-first design for symptom triage at scale.
Across three products, Zorvexus holds one bar for trust: HIPAA-aligned operations, tenant isolation, MFA-backed sessions, and a clear rule that customer data does not train public models — details health systems demand before sign-off.
Reid chose Oklahoma over remote glamour because invention here happens beside physicians and scientists in the same room. Learn, Adapt, Optimize is the company's motto; his commits are where the motto becomes software.