The healthcare data lakehouse that delivers GenAI insights in 2 weeks
Unify, govern, and activate PHI across clinical, claims, and research systems, with a ready-to-use data lakehouse that delivers secure, GenAI-ready insights in just two weeks.
The reality healthcare leaders are facing
McKinsey projects continued EBITDA pressure across providers and payors through 2027, making long infrastructure builds increasingly unsustainable.
Healthcare data and AI expectations are accelerating, while financial and operational pressure continues to rise. Industry data shows why long data build cycles are no longer viable.
LakeStack Health replaces long build cycles and fragmented data workflows with a healthcare-ready foundation designed for AI from day one.
The healthcare data landscape, re-architected for GenAI
Healthcare data lives across disconnected systems. LakeStack Health unifies and governs it, so teams move from raw PHI to AI-ready insights without long build cycles.
One platform. Built to scale from data to decisions.
A modern data stack, without the overhead
Built for teams across healthcare
LakeStack Health adapts to how different healthcare organizations work, so each team gets faster insights without rebuilding data foundations from scratch.
Unify patient data across care settings to improve outcomes and operational efficiency.
- Patient 360 unified view
- Readmission risk scoring
- Clinical and operational dashboards
Connect claims and clinical data to reduce leakage and improve risk management.
Accelerate research and evidence generation with governed healthcare data.
Improve visibility, availability, and performance across complex supply ecosystems.
Unify patient data across care settings to improve outcomes and operational efficiency.
- Patient 360 unified view
- Readmission risk scoring
- Clinical and operational dashboards
Connect claims and clinical data to reduce leakage and improve risk management.
Accelerate research and evidence generation with governed healthcare data.
Improve visibility, availability, and performance across complex supply ecosystems.
Engineering cost saved
Less time spent managing custom builds
Time to insight and action
Proven business impact
Our data lakehouse centralized Kior Healthcare’s fragmented clinical systems, harmonizing lab results, ERP data, bookings, imaging reports, PDFs, and clinician notes into a governed, No-Code, AWS-Native Data Warehouse.
reduction in manual data prep and file processing
faster clinician and operational visibility
LakeStack standardized ECG streams from multiple device vendors into a single clinically governed format, activating automated anomaly detection and predictive dashboards. Real-time insights, NLQ search, and automated ingestion.
increase in clinical throughput
faster ECG review time
Deployed LakeStack within 12 days, consolidating fragmented EHR exports, CRM records, and billing data into a single governed data lakehouse. Thus, eliminating manual consolidation and BI bottlenecks.
reduction in reporting time
reduction in BI backlog
LakeStack centralized device-generated adherence data, mobile app interactions, and caregiver notes into a unified, governed data lakehouse, eliminating custom scripts and manual review workflows.
saved in engineering cost
improvement for high-risk patient identification
Using LakeStack, our customer automated ingestion, compliance workflows, and AI-driven cohort insights for real-time visibility into adherence trends, prescriber patterns, and patient-support metrics.
engineering cost saved annually
reduction in reporting backlog
Built by the “AWS Rising Star Partner of the Year”
With more than 12+ years of solving complex data problems. Our team has consistently delivered production-grade systems on AWS for enterprises across industries. We’ve taken that experience and engineered LakeStack, world’s first, AWS-native platform designed to simplify data readiness, accelerate AI adoption, and deliver measurable outcomes from day one.
Don’t let data readiness hold you back from AI-powered care.
