Assess Your Data Landscape
We start by analyzing your data sources, current storage/processing infra, and future analytics needs.
Healthcare organizations sit on fragmented, high-volume data, scattered across EHRs, labs, billing systems, and third-party vendors. To make data usable for care coordination, compliance, and innovation, you need to:
We help you design, implement, and optimize data lake and warehouse solutions customized for your data, workflows, and compliance requirements.
We help you deploy a modern lakehouse using platforms like Snowflake, Databricks, BigQuery, or AWS-native stacks, optimized for healthcare data and scalability.
We help you normalize clinical and operational datasets into FHIR or OMOP structures to support downstream interoperability and analytics across care and billing ecosystems.
We build modular pipelines to ingest data from EHRs, HIEs, labs, claims systems, or APIs—powered by tools like dbt, Airflow, or custom orchestration logic.
We set up observability pipelines, lineage tracking, deduplication, and data quality dashboards to ensure clean, reliable data at every stage.
We support secure access for analytics teams, clinical researchers, and business stakeholders with robust permissioning and audit trails.
Our implementations align with HL7 FHIR, USCDI, OMOP, HIPAA, and HITRUST standards—and integrate smoothly with existing EHRs, payer systems, and digital health products.
Need just the transformation layer?
We start by analyzing your data sources, current storage/processing infra, and future analytics needs.
We propose cloud-native or hybrid lakehouse architectures based on volume, velocity, governance, and cost considerations.
We ingest and transform raw data from EHRs, labs, APIs, and more into normalized formats, handling mapping, validation, and de-identification as needed.
We implement scalable data warehouse/lake platforms, configure roles, policies, and integrate tools for exploration and analysis.
We help you enable monitoring, versioning, and observability pipelines to maintain trust and extend the system for advanced use cases.
We tailor data lake and warehouse implementations to meet your specific data models, regulatory requirements, and strategic goals.
To unify data across care sites and power clinical excellence by:
To strengthen analytics, automation, and compliance at scale by:
To power intelligent product features and enterprise integration by:
The lakehouse is the foundation for every downstream transformation: Clinical NLP & GenAI tools, BI Dashboards & Research Cohorts, Automated Risk Prediction & Alerts, API-based Interoperability Workflows.