Meexle — AI Engineering for Healthcare

What We Do

We build AI systems that healthcare organizations can trust — engineered for clinical accuracy, protected by design, and compliant by default.

Predictive Analytics & Forecasting

ML models for readmission risk, patient deterioration, population health, and revenue forecasting — delivered inside the workflows your clinicians and admins already use.

AI Agents & Integrations

Autonomous agents that act inside EHR and EMR: triage, prior authorization, scheduling, documentation, and cross-system data orchestration.

Model Fine-Tuning

Foundation models adapted to your proprietary clinical data — speaking your specialty, following your protocols, performing on your patient population.

Health Data Protection

HIPAA-compliant pipelines for PHI: de-identification, encryption at rest and in transit, full audit trail across every system that touches patient data.

Clinical NLP

Structured intelligence extracted from EHR notes, discharge summaries, and radiology reports — using NLP models purpose-built for clinical language.

Compliance & AI Governance

Every model auditable, explainable, defensible — HIPAA, HITRUST, SOC 2, and emerging AI governance standards built into the system from day one.

How We Work

A clear, collaborative process — from first conversation to production AI

Discover

We start by understanding your clinical environment, data infrastructure, and goals. Together we identify the highest-value AI opportunities and define success criteria.

Design & Build

Our engineers design a HIPAA-compliant AI architecture tailored to your organization. We build, test, and validate every component against clinical and regulatory requirements.

Deploy & Protect

We deploy your AI system into production, integrate it with existing clinical workflows, and establish continuous monitoring, governance, and data protection protocols.

Leadership

The people behind Meexle’s healthcare AI engineering.

Victor Bucha

Chief Data Scientist & Co-Founder

20+ years leading R&D and engineering teams across deep-tech and applied AI — from Samsung’s Galaxy and Smart TV product lines to enterprise computer-vision systems for European retail networks. PhD in Computer Vision, MBA, 15+ international patents and ~45 scientific publications. At Meexle, Victor leads AI architecture across predictive analytics, clinical NLP, and agentic workflows — including the firm’s flagship engagement: an AI-agentic budgeting and variance-analytics platform currently in production rollout at a multi-facility US senior-care operator.

Technology Ecosystem

We build on the leading HIPAA-eligible cloud and AI platforms

AWS HealthLake

HIPAA-eligible health data lake with native FHIR support and Amazon SageMaker AI/ML capabilities

Snowflake

Cloud data platform for secure health data sharing, analytics, and AI/ML pipelines at scale

Azure AI Foundry

Microsoft's enterprise AI platform for building, deploying, and governing healthcare AI solutions

Our solutions integrate with the AI infrastructure your organization already relies on — or the best-fit platform for your needs.

In Production

How Meexle delivers production AI for US healthcare operators.

Our flagship engagement is an AI-agentic budgeting and variance-analytics platform for a multi-facility US senior-care operator. The system replaces manual GL and budget review with an agent-driven workflow currently in production rollout — driving live facility-level budgeting decisions across the operator’s portfolio.

Healthcare financial analytics dashboard

Composite UI illustration. Anonymized — no real client data.

Stack: R · Snowflake · Power BI · Streamlit · agentic LLM orchestration. ~100K budget records and ~90K finance postings per facility per year.

Open Research

Public datasets and tools we publish for the research community.

MedScan — Medicare Part D Formulary Research

Longitudinal diff of every Medicare Part D formulary across the 8 largest PBM-affiliated carriers, plan years 2024–2026. Every tier move, prior-authorization addition, step-therapy and quantity-limit change — parsed from CMS-published files with full provenance. Free for researchers, journalists, advocacy organizations, and clinicians. No login, no monetization.

Visit themedscan.com →

MedScan — Medicare Part D Formulary Research preview