Technology Services Built for Healthcare.

We help healthcare organisations identify the highest-value AI opportunities, build the business case, and create actionable implementation roadmaps.

• AI use case prioritisation and ROI modelling
• AI readiness and data maturity assessment
• Technology vendor evaluation and selection
• AI governance and responsible AI frameworks

End-to-end development of bespoke AI models and applications for healthcare — from data engineering and model training to production deployment.

• Healthcare-specific LLM fine-tuning and RAG systems
• Computer vision for medical imaging
• NLP for clinical documentation and coding
• MLOps pipeline design and implementation

HIPAA-compliant cloud architecture, migration, and managed services on AWS, Azure, and GCP — built for healthcare workloads.

• HIPAA-compliant cloud architecture design
• Healthcare workload migration to cloud
• Infrastructure as Code and GitOps practices
• Disaster recovery and business continuity

Build and integrate the APIs that connect your healthcare ecosystem — EHR integrations, payer-provider connectivity, and HL7 FHIR APIs.

• HL7 FHIR R4 API development and certification
• EHR integration (Epic, Cerner, athenahealth)
• Payer-provider connectivity APIs
• API security, rate limiting, and developer portals

CI/CD pipelines, container orchestration, and ML model lifecycle management that enable healthcare technology teams to ship faster.

• CI/CD pipeline design for regulated environments
• Kubernetes orchestration and Helm chart management
• ML model versioning, monitoring, and retraining
• DevSecOps for HIPAA and HITRUST environments

Full-stack SaaS product development for healthcare technology companies — from architecture and backend to frontend, launch, and growth.

• Multi-tenant healthcare SaaS architecture
• React / Next.js frontend and Node / Python backend
• Subscription billing and usage-based pricing
• ONC certification and regulatory submission support

End-to-end interoperability strategy and implementation — connecting payers, providers, labs, and health networks through FHIR, HL7, TEFCA, and Da Vinci standards.

• TEFCA/QHIN participation and onboarding support
• Da Vinci implementation guide adoption (PDex, CDex, PAS)
• CMS Interoperability Rule compliance (Prior Auth API, PDEX)
• HIE connectivity and national health network integration

FHIR-native data infrastructure that turns fragmented health data into AI-ready, analytics-grade data assets — built for HIPAA compliance and clinical depth.

• FHIR-native data lake and lakehouse architecture
• OMOP CDM and clinical data standardisation
• Population health analytics pipelines
• AI-ready feature engineering and data governance

Specialised AI and natural language processing for clinical text — automating coding, chart review, documentation, and clinical decision support at production scale.

• ICD-10/CPT automated coding and audit support
• Ambient clinical documentation and note summarisation
• Clinical NLP for unstructured EHR data extraction
• AI-assisted prior authorisation clinical review

Continuous HIPAA, SOC 2 Type II, and HITRUST compliance — automated evidence collection, PHI risk monitoring, and audit readiness as an ongoing managed service.

• HIPAA Security Rule gap assessment and remediation
• Automated SOC 2 Type II evidence collection
• HITRUST CSF implementation and certification support
• PHI discovery, classification, and risk monitoring