Make FHIR your “single, usable source of truth” across your ecosystem.

WHAT PONTEGRA PROVIDES
High-Performance FHIR Data Infrastructure
Pontegra bridges the gap between fragmented clinical data and modern healthcare innovation. By deploying our integrated FHIR data platform, you turn legacy complexity into high-quality, actionable HL7 FHIR® resources.
SMART apps, CDS services, and analytics pipelines all operate from the same governed clinical data foundation.
We do this with a proven stack:
- Ignifyr: A high-performance engine for seamless ingestion and transformation into HL7 FHIR.
- Repofyr: A secure, FHIR-native clinical data repository and API layer designed for scale.
Together, they form a governed, repeatable, and scalable FHIR backbone for healthcare delivery, research, and national programs.
WHAT YOU CAN GET
Strategic and Operational Impact
Moving to a standardized FHIR platform isn’t just about compliance; it’s about operational agility.
Accelerated Interoperability: Replace multiple custom integrations with a standardized FHIR API.
Scientific-Grade Data Quality: Profile-based validation during ingestion and at rest, supported by automated testing and continuous monitoring.
A Unified Access Model: Operational applications, SMART apps, CDS services, and research pipelines consume the same governed data model without rebuilding extraction logic.
Security and Audit by Design: Standards-based authentication and authorization combined with configurable audit trails.
Enterprise Scalability: Architecture that grows with you, from single-hospital deployments to multi-regional repositories.
HOW THE SOLUTION WORKS
From Ingestion to Secure API Access
1
Ingest and transform with Ignifyr
Ignifyr is engineered for “hospital reality”: multiple sources, messy schemas, changing requirements, and the need to test continuously.
- Diverse Connectivity: Connect to SQL databases, REDCap, file systems, FHIR endpoints, Kafka streams (batch or streaming).
- Low-Code Mapping: Use a web-based interface with a built-in FHIRPath editor, enabling clinical analysts to manage mappings without “a full engineering team”.
- Pre-Built Accelerators: Leverage off-the-shelf mappings from common models (e.g., OMOP CDM, i2b2 CDM, HL7 CDA, FHIR R4) to FHIR R4/R5.
- Production-Grade Reliability: Ensure data integrity with automated testing and profile-based validation, supported by real-time execution monitoring for both batch and streaming jobs.
- Flexible Sinks: Write output directly to a FHIR server (e.g., Repofyr, HAPI, Firely) or export to NDJSON/Parquet for downstream analytics.
Ignifyr manages the integration lifecycle through versionable Projects. By bundling schemas, mappings, and terminology into defined ETL Jobs, the platform transforms complex ingestion into a repeatable and transparent workflow.

2
Host and serve with Repofyr
Repofyr acts as your high-performance clinical vault, designed to serve as your API gateway.
- FHIR-Native Architecture: Behavior is driven by native FHIR artifacts (CapabilityStatement, SearchParameter), making it truly version-agnostic.
- Performance at Scale: Powered by MongoDB with configurable sharding, ensuring low-latency even with massive data volumes.
- Built-in Data Integrity: Enforce real-time validation against base FHIR constraints and custom profiles to ensure every record is compliant before it is stored.
- Fine-grained Governance: Implement complex RBAC/ABAC policies, enable Open ID Connect and SMART on FHIR to protect sensitive patient data while maintaining accessibility.
- Deployment Freedom: Run on-premises for maximum control or in the cloud (e.g., AWS, Azure, Google Cloud).
Repofyr is more than just a storage layer; it is a highly configurable engine. It allows you to explicitly model data, shape API behavior, and optimize search performance through clinical-context sharding and indexing, aligned precisely to your search parameters as described in Repofyr “How it works” flow.

3
Harmonized Ecosystem Access
Once data is unified in the Pontegra platform::
- SMART apps and CDS Hooks services rely on stable resource shapes and predictable search behaviour.
- Analytics pipelines (e.g., Spark-based cohort/dataset extraction) reuse existing FHIR queries, eliminating redundant extraction logic.
- Centralized Governance provides a single, consistent audit story for the entire organization (instead of each integration re-inventing it).




WHERE THIS SOLUTION FITS BEST
Ideal Deployment Scenarios
Hospitals / regional health systems looking to replace legacy integration engines and enable real-time SMART apps and decision support.
Research & AI initiatives that require standardized, validated data for repeatable extraction and high-fidelity analysis.
National / multi-organisation health programs that demand scalable, multi-tenant FHIR repositories with strict, sovereign access controls.
SEE YOUR OPTIONS
Packages
STARTER PACK
FHIR Foundation Pilot
The FHIR Foundation Pilot is a fixed-scope engagement designed to prove value quickly.
We take one of your real-world data sources and transform it into a high-quality, usable HL7 FHIR® API—giving you a working blueprint for your entire ecosystem.
PRODUCTION PACK
FHIR Production Rollout
Once the Foundation Pilot has validated the pattern, the Production Rollout phase focuses on industrializing the solution.
We expand the data footprint, harden the infrastructure, and transition your temporary evaluation into a permanent, licensed production environment.
OPERATE PACK
Managed Operations & Optimization
The Operate package provides proactive management and expert oversight, ensuring your FHIR infrastructure remains a reliable, “living” asset.
We shift the burden of technical maintenance from your team to ours, ensuring your data pipelines are monitored, triaged, and optimized daily.