About ePeople

About Us

Built by Post-Acute Healthcare Facility Operators - For Healthcare Facility Operators

Schedule Demo Our Team

The Team

ePeople AI Was built Inside a Real HealthCare Facility by True Operators

ePeople combines healthcare operations context with product, engineering, and architecture expertise.

Stan Stukov

Founder / Operator

Brings direct facility ownership context and the operating insight behind the workflows ePeople automates.

Edward Stukov

Sales & Marketing Lead

Owns market communication and how platform value is translated into buyer-facing outcomes.

Michael Tarasov

Product & Project Lead

Drives product structure, execution clarity, and translation of operational problems into scalable workflow systems.

Vladimir Romanyuk

Technical Architect

Owns core architecture and the systems thinking required to turn workflow complexity into reliable platform behavior.

Supported by a broader development and operations team with deep exposure to healthcare facility workflows and more than five years of sustained product development.

Our Story

How We Got Started

ePeople was shaped inside San Francisco Healthcare & Rehab, where our founder saw firsthand how difficult it is to manage staffing, compliance, onboarding, and day-to-day operations through disconnected systems and manual coordination.

The problem was not a lack of effort. Too much critical work still depended on people chasing information and cleaning up issues after the risk had already happened. So we began building a system that could take recurring facility workflows, structure them into software, and automate execution through AI agents.

Founding belief

Leadership should spend less time pushing routine workflows forward manually, and more time reviewing exceptions, making decisions, and running the facility.

Origin · San Francisco Healthcare & Rehab

From spreadsheets and follow-ups to one operating platform.

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Born inside a working skilled nursing facility

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AI agents execute the repetitive operational work

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Leadership keeps approvals, judgment, and exceptions

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Audit-ready records preserved across every workflow

How We Build

We Aim to Eliminate Costly Human Error with the use of Artificial Intelligence.

Skilled Nursing Operators cannot afford mistakes that result in Non-Compliance. Everything we have built is shaped around our 3 pillars billow:

Data Accuracy

We optimize for reliable workflow outputs, not superficial automation. Every AI-executed step is designed to hold up under facility pressure, not just in a demo.

Compliance Enforcement

Automating Records, Approvals, Attenstations, and retention - Eliminating Real Operational Risks while giving Management Time back to spend on what will make a real difference.

Low Coordination Overhead

The system should reduce follow-up, not create new layers of management burden. Teams validate a workflow quickly, then expand platform usage over time.

Ready to see it run

See ePeople.ai In Action Today

Schedule a 30-minute demo now.