HIPAA
United StatesPrivacy and security of protected health information. Environments, access controls and logging designed for it from day one.
Industries · Health and life sciences
AI that protects the data and proves the result
Sensitive data, validation requirements and clinicians with no time to spare. We build AI and the platforms underneath it to respect all three, and we measure what changes.
Sound familiar?
What we hear from health and life sciences leaders
We start with the result you need, then build inside the controls you already have.
See where AI pays“Our scientists spend more time cleaning data than running experiments.”
“Patient data cannot go anywhere our compliance team has not approved.”
“The model works in a notebook, and nobody can deploy it to a compliant environment.”
“Clinicians will not use a tool that adds clicks to their day.”
“Every new AI vendor starts another security review.”
“The board wants a result before it funds the next phase.”
Where AI pays
Use cases we build and run
Research data
Automated extraction and harmonization of scientific data, so researchers spend their time on the science.
Assistants for researchers
Assistants scientists can question across patents, publications and images, with answers backed by the data.
Clinical machine learning
ML pipelines for personalized care, built on compliant platforms and monitored in production.
Compliant platforms
HIPAA and HITRUST environments, migrations and the security controls health data needs.
Governed from the first build
Evidence your quality and compliance teams can review
We are not an auditor. We build the controls, documentation and monitoring your privacy, security, quality and validation teams ask for.
- 01AI Value AcceleratorLeadership accelerator
- Use cases ranked by return
- Data sensitivity mapped for each
- 02FDSForward Deployed Strategists (FDS)
- The KPI and its owner named
- A control agreed before the build
- Evaluation on your own cases
- 03FDEForward Deployed Engineers (FDE)
- Inside approved environments
- Human review where care is affected
- Monitoring with named owners
- 04ScaleMultiple transformations
- Documentation kept current
- KPI readout informing the next step
Built for the rules you work under
Privacy, security and validation
HITRUST
Security frameworkA certifiable framework used across US health care.
Brightside Health's ML platform was built to it.
Your validation process
Quality and model reviewModels documented and evaluated so your quality and validation teams can review them on their terms.
Client stories
Health and life sciences work in production
Your part of health care is not listed? The approach is the same wherever data is sensitive and results must be proven.
Talk to us
Find where AI pays in your organization
Tell us what you are working on, and we will bring people who know your industry.