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We started ML Health AI because one of us accessioned 900 faxes in a weekend.

A small team of engineers, clinical operators, and integration specialists focused on one thing: clinical paperwork should never be the reason a healthcare team has to hire another human.

Our mission

Paperwork shouldn't be the reason patient care waits.

Every day, healthcare operations teams spend millions of hours re-keying paperwork into systems that were supposed to have been digital a decade ago. It's the quietest drag on American healthcare — and the one no one builds for, because it isn't glamorous.

ML Health AI was built to give that time back. Not as a prototype, not as a model-of-the-week, but as boring, reliable infrastructure that compliance officers trust and operations teams actually use.

How we work

Four principles that actually guide decisions.

Not poster-in-the-lobby values. The four things we argue about in planning meetings.

01

PHI is sacred

We never train our models on customer data. We never copy PHI out of a deployed environment. Our engineers don't have standing access to your data — ever.

02

Boring beats fancy

The pipeline that works every Tuesday morning at 6:04am is worth more than the benchmark-leading model that breaks when the fax vendor changes drivers.

03

Receipts for everything

Every prediction has a confidence score. Every edit has a diff. Every route has a reason logged. We default to more auditability than regulators require.

04

Ship with operators

Before any feature reaches production, it's been hand-operated by someone on our team inside a real customer's workflow. No "throw it over the wall."

The story

Founded in 2026, built for what healthcare actually needs.

ML Health AI was founded to build the custom software that off-the-shelf tools can't. Headquartered in Dallas, with an engineering team led from the United States and partner teams worldwide that extend delivery and support across a full 24-hour cycle.

Where we work

Headquartered in Dallas, with 24-hour global coverage.

Our core team is based in the United States, close to the clients and compliance environments we build for. Partner engineering and support teams in other regions extend our delivery and support window around the clock.

HQ

Dallas, TX

United States
Leadership, commercial, and forward-deployed engineering. This is where every client engagement is scoped and delivered from.
ENG

United States

Distributed engineering team
Engineering is primarily US-based, close to the regulated environments and compliance reviewers our customers work inside every day.
24H

Worldwide

Follow-the-sun delivery & support
Partner teams across additional time zones extend our delivery and support coverage so client systems are watched and iterated on around the clock.
Leadership

Built by healthcare operators and ML engineers.

No one on our leadership team is new to clinical workflows. Most of us did the work we're now automating.

Executive team
Ammar Darkazanli

Ammar Darkazanli

Chief Executive Officer & Chief Technology Officer

Technology executive with 20+ years leading AI and data engineering across healthcare and life sciences. Has led 120+ professionals across engineering, product, QA, DevOps, and analytics to ship autonomous AI that improves clinical decision-making and patient outcomes.

Sets product and architectural direction for every ML Health AI engagement. Depth in LLMs, agentic systems, GNNs, and cloud microservices (AWS, GCP, Azure), and in meeting HIPAA, FDA, and SOC 2 requirements inside regulated clinical environments.

Ken Thoman

Ken Thoman

Chief Operating Officer

Scaling operations. Driving performance. Leading transformation. Has led multi-site healthcare and diagnostics organizations through expansion and turnaround — including scaling processing capacity from 1.5K to 5K specimens/day, cutting turnaround from 48 to 24 hours, and driving EBITDA from $5M to $24M while maintaining compliance and service quality.

Jeani Milner

Jeani Milner

Chief Commercial Officer

Driving revenue. Expanding relationships. Scaling growth. 15+ years in healthcare commercial operations and enterprise sales. Deep C-suite and KOL relationships across hospitals, reference labs, and academic institutions, with specialty experience in point-of-care systems and molecular diagnostics.

Board & advisors
BW

Benjamin Weinstein

Chairman of the Board

Chairs the board and guides long-term strategy, governance, and capital structure. Brings decades of experience scaling healthcare-adjacent companies through regulated deployment cycles.

JS

Jaryd Stein

Advisor

Strategic advisor on go-to-market, partnerships, and growth within the healthcare sector. Works closely with our commercial team on enterprise engagement strategy.

Get in touch

Pick the door that fits.

Sales & pilots

Talk to someone about bringing ML Health AI into your organization.

sales@mlhealthai.com

Support

For existing customers. We answer in business hours, Mon–Fri.

support@mlhealthai.com

Press & careers

Working on a story, or want to work with us? Reach out here.

hello@mlhealthai.com
Work with us

We're hiring operators, engineers, and clinicians.

Particularly forward-deployed engineers, HL7 integration leads, and ML researchers with experience shipping into regulated healthcare environments. Remote across the United States, with optional hub time in Dallas.

See open roles → See use cases