Meet Our Founders and Advisors

Meet Maia's founding team, who you'll be working with day-in and day-out to improve your coding & RCM practice.

Focused on innovation, passionate about the customer

Maia's team will not rest until our customers are wildly successful with our products. You'll have direct access to the team when you sign on as a customer.

Zach Ruhl is the co-founder and Chief Executive Officer at Maia. He was previously the VP of Sales and Commercial Strategy at Bonterra, a leading software provider in the social good space, where he oversaw annual Sales targets of $10m+ and a team of 30+ Sales executives. Zach holds a B.S. in Mechanical Engineering from the University of Minnesota and a M.B.A from the Kellogg School of Management.

Daniel Harp is the Chief Technology Officer at Maia. He brings deep experience building and scaling engineering teams and high-reliability systems. He has led the development of modern platform architectures, implemented robust CI/CD and QA frameworks, and delivered production-grade infrastructure for complex, data-driven applications in both the HealthTech and FinTech spaces.

Eric Lau is a Board Member at Maia. He is an experienced and highly driven commercial leader specializing in developing deep customer relationships and growth strategy. Eric holds a B.S. in Industrial Engineering from the University of Illinois @ Urbana-Champaign and a M.B.A from the Kellogg School of Management.

Anson Antony is the Vice President of Machine Learning at Maia. He was previously doing research projects in Artificial Intelligence & Machine Learning at Northeastern University, and has been an engineer at multiple Healthtech startups. Anson holds a B.S. in Computer Science from Savitribai Phule Pune University and a M.S in Computer Science from Northeastern University.

Joseph Oladokun is a Machine Learning Engineer at Maia. He previously worked as a Data Scientist at Asana, where he fine-tuned open-source LLMs on sales call transcripts and built probabilistic models for pipeline optimization. Prior to that, Joseph spent over two years as a Data Scientist at Helium Health, where he engineered NLP models to transform clinical notes into structured ICD-10 and RxNorm codes. He is a Correlation One Data Science Fellow.

Brandon Siegel is a Frontend Engineer at Maia. He comes to the team from Henry Meds, a healthtech company, where he served as a Senior Frontend Engineer. Brandon has five+ years of experience across frontend and full-stack roles, including work at Revaly where he built a collaborative 3D model web application, and Reliv International where he overhauled checkout architecture to support international transactions.

Have questions? Let's talk 1:1

Hi, I'm Zach, co-founder of Maia! I'd love to schedule 30 minute intro call so I can show you how Maia can help your practice decrease revenue loss by at least 10% and improve billing efficiency.

Book a call
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Maia's Clinical Advisory Board

Maia has a team of expert Orthopaedic surgeons advising on coding & RCM strategy - our Orthopaedic Avengers

Meet Maia

Supercharge your medical coding and billing performance

Maia is a healthcare AI engine that maximizes CPT billing and uncovers negative billing patterns - all while increasing your revenue.

Maia meets you

Maia meets you where you work, so you don't have to learn new complicated software

Maia AI

Speed up your workflow and increase revenue with AI

Detailed analytics

Data and insights to make your billing more effective

Hear from our adviors

Expert voices sharing their reasons for joining Maia.

"Patient care - both quality and efficiency - improves dramatically when physicians can focus entirely on practicing medicine. No Orthopaedic surgeon entered this field dreaming of spending their time coding notes. Maia not only recognizes that, they are doing something about it"

Dr Michael Rohmiller, Orthopaedic Spine Surgeon | OrthoAlliance & Beacon

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Transform Orthopaedic workflows with AI-powered automations

Embedded AI automations directly into your EHR workflow that double clinicians, coders, and billers efficiency.

E&M AutoCoder

Stop preventable denials and downcoding before submission, and maximize revenue along the way
Efficiency gain: 25-35%

Surgical AutoCoder

Automate complex coding processes to improve accuracy, save time and increase reimbursements
Efficiency gain: 50%, Revenue Lift: 1-5%

Prior Auth Reconciliation

Submit retro-authorizations in a timely manner to ensure maximum reimbursements
Efficiency gain: 25-35%

Denial Appeal Automation

Automate complex denial appeal creation, and submit quickly for greater approval rates
Efficiency gain: 5-10%

NoteBuilder

Automate E&M and operative template creation, saving surgeons time and ensuring compliant documentation
Efficiency gain: 5-10%

Insights

See how clinicians are performing, surface teaching opportunities, and track performance over time
Bottom line impact: 10%+

Proud Supporters and Sponsors

Want to see all the revenue you missed out on last year?

We'll give you a free audit to show you the power of Maia.