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Pre-Built, Custom-Ready Healthcare-Native Anchor Frameworks

Pre-built, customizable foundations to cut implementation time in half—without compromising on compliance, integration, or insight.

Explore Data Orchestration Framework
Build foundation first

Every healthcare data project starts with similar ground challenges, disparate data sources, lengthy integration timelines, fragmented standards, and compliance overheads.

We’ve productized that groundwork.

Our Anchor Frameworks are modular, pre-built, and fully customizable components designed to fast-track your implementation journey, without reinventing the wheel.

Whether you're a provider network building a Patient 360, a payer modernizing claims pipelines, or a health-tech platform integrating SDOH with quality data, we bring the base, so you can focus on the build.

The Necessity

Why It Matters

Our frameworks let you move from setup to solution—faster, cleaner, and at lower engineering cost.

Cut Implementation Time by 50%

Reduce Engineering Debt from Day One

Ensure Regulatory Compliance from the Ground Up

Scale Modularly Across Use Cases and Business Units

Frameworks

Our Anchor Frameworks

Modular, proven building blocks tailored for real-world payer, provider, and digital health deployments.

SyncMesh

  • Built to unify HL7, FHIR, CCD, EDI, and legacy formats
  • Comes with identity resolution, reconciliation, deduplication, and normalization modules
  • Real-time sync across EMRs, payers, and third-party sources

Use Cases:
Patient 360 | EMPI Deduplication | Claims Automation | Data Lake Ingest

Pre-Built Healthcare Data Models

  • Ready-to-use schemas for EHR, Claims, SDOH, and Quality Measures
  • Mapped to industry standards and regulatory needs
  • Adaptable to your unique data landscapes and analytics goals

Outcome: Drastically reduced data mapping and normalization efforts.

Plug-and-Play Connectors

  • Support for RDBMS, NoSQL, flat files (CSV, Excel), and SaaS apps like Salesforce, NetSuite, etc.
  • Includes transformation logic for reconciliation, filtering, cleansing, and enrichment
  • Scalable ingestion to cloud or on-prem data lakes

Outcome: Integrate once, reuse across multiple workflows.

Conversational GenAI Layer

  • Chat-based query layer for databases, Excel, PDFs, or structured/unstructured docs
  • Custom ML model integration for predictions, forecasts, and insights
  • HIPAA-compliant, fully auditable interaction logs

Outcome: Real-time decision support for care teams, analysts, and product teams.

Let’s Talk Reusability, Not Rework.

Whether you’re building something new or optimizing what exists—we help you skip the groundwork and go live faster, safer, and smarter

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