Transformer

The Mercor of Healthcare

Overview

A foundry layer for healthcare, Transformer (MerCore) is the intelligence and integration fabric behind IndependenceOS. It ingests fragmented clinical, operational, and financial data across practices, transforms it into a unified ontology, and powers AI-driven decisions, workflows, and analytics across every vertical.

Target Audience

Core Engineering & Data Teams

Building scalable healthcare infrastructure

Echo Teams (Domain Experts)

Who discover problems in the field

Delta Teams (Builders)

Who rapidly deploy new services or AI agents

Leadership & Clinical Ops

Who need real-time, cross-domain visibility

AI Developers

Creating next-gen physician tools on structured health data

Key Challenges We Solve

Fragmented Data

15+ EHRs, billing systems, and practice sources normalized through one semantic layer.

Unified ontology

Weeks to Insights

Data acquisition to decision support cycle reduced from 12 weeks to <3 weeks.

Minutes to insights

Slow Deployments

Zero-downtime, containerized microservices enable daily production releases.

Continuous evolution

How It Works

The 30-Day Machine

1

Ingestion Layer

Continuous ETL from EMRs, billing, patient outcomes, and operational feeds

2

Integration Layer

Cleanses, deduplicates, and standardizes data (FHIR, CPT, ICD-10)

3

Ontology Layer (MerCore)

Palantir-style semantic layer — transforms siloed data into physician-legible entities (Practices, Providers, Patients, Claims)

4

Analytics & Operations Engines

AI-driven analytics and automation for revenue, outcomes, scheduling, and care delivery

5

Apollo Layer

Service mesh that orchestrates all microservices — RCM, Scribe, Scheduling, Analytics — through APIs and continuous deployment

Results & Metrics

2–4 weeks from new practice acquisition → live analytics dashboard

Velocity

9+ practices, 2M+ patient encounters, 50M+ data points unified

Data Scope

+5–10% revenue recovery through ontology-based automation

RCM Uplift

+15–20% improvement in documentation precision via domain-tuned scribe

AI Accuracy

99.99% platform reliability across zero-downtime deployments

Uptime

Roadmap

MerCore Ontology GA

Upcoming

Q1 2026

Unified FHIR + CPT + RCM model powering all IndependenceOS data flows

Apollo Mesh Expansion

Upcoming

Q2 2026

Service mesh scaling to 100+ microservices with full observability

Cross-Domain Learning

Upcoming

Q3 2026

Reinforcement loop: pediatric insights → family medicine → cardiology

AI Governance Layer

Upcoming

Q4 2026

Versioned models, explainability, and compliance-ready data pipelines