Migrate Securely. Modernize Faster. Stay HIPAA-Compliant. Move your healthcare applications and data to AWS, Azure or Google Cloud without disrupting clinical operations. At MindInventory, we plan, migrate and modernize healthcare infrastructure with the compliance boundary and running costs mapped before the first workload moves. One migration we led delivered $1M+ in annual savings and a 5X performance gain.
At MindInventory, we build healthcare AI around how your teams work. Our systems fit your clinical workflows, business processes, existing technology, and the decisions your organization needs AI to support.
Our experts will review your systems, dependencies and patient data flows, and tell you which workloads to move, rebuild, keep or retire before any migration begins.
We rehost stable workloads quickly and replat form them onto managed databases and storage wherever it lowers costs, without disrupting daily operations.
Our engineers rebuild ageing clinical systems step by step, so that the old system keeps running until the new one is ready and fully tested.
We migrate healthcare platforms between AWS, Azure, and Google Cloud, Including managed FHIR services and identity setups, with minimal downtime.
Our team sets up FHIR stores and analytics warehouses that make your clinical data ready for reporting and AI across the organization.
Our team trims idle resources and data transfer costs after migration, then sets spend alerts, so cloud costs stay predictable.
Share your current setup and we'll help you prioritise a migration plan that keeps care running.
Plan Your Cloud MigrationNot always. Most healthcare organisations end up with a mix of approaches, and the right one depends on each system.
MindInventory built a cloud biosignal pipeline for BioStrap that moves signal processing off the wearable device and into the cloud while preserving raw PPG, accelerometer, and gyroscope data from sensor to storage intact.
Outcomes:
MindInventory built the cloud infrastructure for Sully.ai's six clinical AI agents, each running in its own isolated Docker environment, with an orchestration layer that coordinates them, and integrating natively with Epic and athenahealth on HIPAA-ready infrastructure.
Outcomes:
Share your current infrastructure and migration goals. We’ll help you define the right approach for a secure, scalable transition.
As a healthcare cloud migration company, we plan every phase so that clinicians can keep working while your systems and patient data move securely to the cloud.
Share your current setup and we'll help you prioritise a migration plan that keeps care running.
A partner who can't answer this hasn't properly assessed your setup.
If this isn't in the estimate, it will show up later as a surprise.
The answer tells you more about a partner than any case study.
Through our HIPAA compliance solutions, we build encryption, access controls, and audit logs into every migration, so that patient data stays protected before, during, and after the move.
Signed BAA with your cloud provider before any patient data moves
Every service checked against the provider's HIPAA-eligible list
Encryption at rest and in transit
Network isolation and private connectivity
Role-based access control with MFA
Full audit logging retained to policy
Tested disaster recovery plan
As a healthcare software development company with hands-on experience in EHR systems, HIPAA compliance, and cloud platforms. We deliver cloud migration solutions that move your systems securely and without disrupting care.
development experience building secure healthcare platforms.
ISO 27001:2022, SOC 2 Type II, and ISO 9001:2015 certified.
Choose the model that fits your team. We offer healthcare cloud consulting services as a dedicated team inside yours or as a project we deliver end to end.
Named cloud and healthcare engineers matched to your needs and approved by you after an interview. They work in your tools and sprints, reporting to your leads.
An assessment, a migration phase, or a data platform build scoped to your requirements. Our team owns delivery, with a dedicated project manager keeping it on track.
In both cases, you own the infrastructure code, runbooks and documentation when the work is complete.
We test failover before go-live, so your recovery plan works when you need it.
Most healthcare teams move to the cloud for one of four reasons: cost, resilience, performance, or access to new services. Here is what each deliver.
Ageing hardware is due for replacement. Migration removes the refresh cost and replaces it with capacity you pay for as you use it. The hospital network we migrated saved $1M+ a year.
Disaster recovery depends on a second site. Cloud recovery removes the cost of running a data centre you hope never to use.
Systems struggle at peak patient volume. Cloud capacity scales with demand, and the same migration delivered a 5X performance gain.
You need services that would take years to build. Managed FHIR stores, analytics and AI services are available immediately.
Your patient data sits in separate systems. Cloud data platforms bring EHR, imaging and claims data together, so reporting and AI draw from one source.
We also move workloads between clouds, including Azure to AWS and AWS to Google Cloud, where a platform has outgrown its original choice.
Yes, in most cases, because they do different jobs.
A FHIR store (AWS HealthLake, Azure Health Data Services or Google Cloud Healthcare API) connects to your EHR and handles data exchange, patient access and regulatory requests.
A data warehouse (Snowflake, Databricks or BigQuery) handles reporting, analytics and AI across large volumes of data.
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