Healthcare on AWS
Most healthcare tech runs on someone else's security posture. Vendor-managed data centres, third-party EHR integrations, analytics tools that cost more than the platform they sit on. We migrate the workload into your AWS account, build HIPAA controls into day one of every cutover, and replace proprietary licensing with open-source stacks you control.
Real engagements, real numbers. Where Armakuni has already shipped in this vertical.
HIPAA, vendor lock-in, manual workflows, and the cost ceiling. We have moved clinical teams off all four on AWS.
Every security control, every audit log, every architectural change depends on a vendor relationship. For HIPAA-regulated data, that posture is not sustainable.
50 GB of clinical data per week moving through five separate systems. When a step fails, nobody knows until a clinician notices missing data.
Per-seat, per-tier costs that grow with every new user and every new gigabyte. No exit path the analytics team can build alone.
Curators spending up to an hour creating a single chemical profile. SMEs reformatting 8-9 question types by hand. Headcount is the ceiling.
Not every offering applies in this vertical. Here are the ones that fit, and the angle we take with each.
Healthcare modernization is structurally different. The compliance posture has to hold through every cutover. We move workloads from third-party data centres into HIPAA-aligned AWS accounts in eight weeks, with governance, networking, security, and observability built from scratch under your IAM.
Clinical AI requires more rigour than commercial AI. Match confidence affects return-to-play decisions. Wrong sentiment scores affect regulated outreach. We deploy Bedrock with PII excluded at query definition, audit trails on every invocation, and human-in-the-loop validation for clinically significant outputs.
Medicare and benefits contact centres run inside hard regulatory windows. AEP, OEP, eligibility deadlines. We stabilize broken Connect deployments, build PHI-aware automation, and add the dashboards supervisors need to see problems before customers feel them.
Clinical data spans regions, accounts, and providers. We build governed pipelines on Redshift and DMS that enforce US/Canada separation, retire vendor ETL like Hevo or Fivetran, and turn analytics from a Tableau extraction window into a real-time layer.
AWS MAP-funded migrations from third-party data centres into HIPAA-aligned AWS accounts. Healthcare Consulting Competency. AWS pays for the assessment, and Armakuni runs it.
Six engagements: shipped, in flight, or scopable inside an AWS-funded discovery.
Control Tower, Multi-AZ RDS, ECS, AWS Transfer Family, and the full security suite (CloudTrail, GuardDuty, Config). Zero cost to client through AWS MAP.
800 GB of warehouse data and 200 embedded dashboards moved to PostgreSQL and Apache Superset. Proprietary licensing eliminated. Embedded analytics preserved.
Natural language interface across 900k+ concussion assessments, with merged data from RDS and S3 and clinical-grade accuracy.
Privacy-first sensor system with edge ML for 24,000+ daily court-mandated drug tests across 120 centres. HIPAA-compliant by design.
Amazon Connect voice agent plus chat assistant plus OCR pipeline replacing manual contractor-driven verification.
142 Safety Data Sheets converted into a queryable knowledge layer for chemical mixing operations. Real-time mixing-program monitoring next.
Named, public references in this vertical. Open the case study for engagement scope, AWS funding, and outcome.
Most engagements open with a fixed-fee, AWS-funded discovery. These three workshops are where it usually starts.
Procurement-grade controls available on request. We run engagements under these regimes routinely.
Your first call is with a solution architect, not a sales exec. The first engagement is usually an AWS-funded assessment.