About MIXI AI

Laboratory expertise, translated into practical AI assistance.

MIXI AI is the public-facing AI billing assistant brand created by Lab Made Easy, LLC. Its current flagship product is built for laboratory billing teams; connected analytics and carefully labeled future product lines extend from the same operating foundation.

Our Company

Built around the way laboratory teams actually work.

Lab Made Easy was founded by healthcare and technology professionals who saw how fragmented workflows, manual billing processes, and disconnected systems create avoidable friction for laboratories.

MIXI AI is our public-facing AI product brand. Its current flagship supports laboratory billing teams with structured intake, review assistance, and operational visibility while keeping qualified people central to decisions.

Our Vision

Where We're Headed

To help laboratory and pathology billing teams work from clearer data, structured review, and responsible AI assistance.

Our Mission

How We Get There

We build security-conscious, AI-assisted workflow products designed to support qualified teams, surface preventable issues for review, and provide measurable operational visibility without guaranteeing financial outcomes.

Leadership

Meet Our Leadership Team

Behind Lab Made Easy is a team of healthcare and technology professionals focused on the real operational challenges laboratories face. Their shared goal is to design practical tools that support structured workflows, careful review, and better operational visibility.

Israel Villaseñor, CEO

Israel Villaseñor

Co-Founder & CEO

Israel brings deep operational insight into the challenges facing modern healthcare organizations, paired with the practical business acumen to build scalable, lasting solutions. A seasoned laboratory and health technology executive, he has spent his career translating complex clinical, anatomical, and molecular diagnostic operations into efficient businesses. As Co-Founder and CEO of Lab Made Easy, Israel leads the vision behind MIXI AI, helping clinical teams use intelligent front-end workflows to support administrative review and revenue-cycle visibility. Whether guiding corporate governance, supporting strategic transactions, or mentoring emerging leaders, he is driven by a simple belief: healthcare technology should be designed around how teams actually work.

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Devin Farinsky, COO

Devin Farinsky

Co-Founder & COO

Devin brings a sharp strategic perspective to the intersection of operational excellence and high-growth execution. As a seasoned operations and growth executive, he specializes in transforming technology-driven solutions into scalable, customer-centered business models. As Co-Founder and COO of Lab Made Easy, Devin oversees business operations, go-to-market execution, and strategic positioning for MIXI AI. He is dedicated to ensuring that as the product ecosystem expands, it scales efficiently while staying firmly anchored in solving real-world friction for healthcare and laboratory teams.

Bikash Panda, CTO

Bikash Panda

Co-Founder & CTO

Bikash brings deep technical insight into the complexities of clinical laboratory systems, paired with a hands-on approach to building resilient, scalable healthcare technology. With more than two decades of experience architecting enterprise LIS, cloud infrastructure, and revenue-cycle engines, he specializes in translating intricate clinical workflows, from flow cytometry to molecular diagnostics, into intuitive digital tools designed for HIPAA-regulated environments. As Co-Founder and CTO of Lab Made Easy, Bikash leads the technical architecture behind MIXI AI, helping ensure its products are secure, practical for laboratory staff, and built for the real-world demands of modern diagnostics.

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Salman Rasheed, Director of Product Engineering

Salman Rasheed

Director of Product Engineering

Salman brings deep engineering insight into building scalable, high-performance software systems, paired with a focus on translating complex clinical requirements into reliable technology. As Director of Product Engineering at Lab Made Easy, he oversees the software engineering lifecycle and architectural delivery behind MIXI AI. Salman leads cross-functional development teams with an emphasis on code quality, security-conscious deployment, and intuitive UI/UX, helping ensure every product release is intended to make administrative workflows easier to review.

Max Merchant, Chief Growth Officer

Max Merchant

Chief Growth Officer

Max brings a relationship-driven approach to expanding market access and driving strategic growth for next-generation healthcare products. As Chief Growth Officer at Lab Made Easy, he spearheads commercial development, partner outreach, and customer adoption for MIXI AI. Max focuses on connecting healthcare organizations, clinical laboratories, and enterprise operators with practical AI workflows that address day-to-day operational pain points, helping ensure growth remains grounded in genuine customer value and collaborative, long-term partnerships.

Our Values

What Drives Us

Operational Empathy

We build for real workflows, not theoretical ones. Every feature starts with understanding how teams actually work.

Measurable Impact

We evaluate product impact through reviewable workflow, quality, and revenue-cycle indicators rather than unqualified promises.

Transparent Trust

We earn trust through honest communication about our capabilities, limitations, and roadmap.

Enterprise Rigor

We apply security-conscious design and configurable deployment practices intended to support long-term operations.

Continuous Improvement

Industries and workflows are always evolving. Our platform evolves with them, adapting to new requirements, operating models, and opportunities while retaining the rigor shaped by our healthcare roots.

Customer Partnership

We work alongside our customers, not above them. Their operational reality shapes our product direction.

Ready to See How We Can Help?

Ready to see how we can help your lab run more smoothly? Discover our solutions or get in touch to learn more.

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