Data and AI for health and research
Health and research organisations hold some of the most sensitive data there is, and the tightest obligations around it. We build practical AI that respects privacy by design and works within constrained resources.
Industry Challenges
Sensitive data with obligations that rule out shipping it to a vendor cloud.
Fragmented legacy systems that make a unified view hard to assemble, before you even start thinking about AI.
Constrained resources: the priority is doing more with less, not another science project.
A stalling gap between promising AI ideas and models that actually reach production.
Our Services for Health and Research
We build privacy-preserving data platforms that unify legacy systems while protecting sensitive data by design, all inside your environment.
We deploy ML models that pay for themselves.
We assess your data and AI maturity honestly, then set the roadmap, governance framework and executive plan, and stay to deliver against it.
We run analytics and delivery alongside your team, especially where in-house capacity is thin. Much of our health work is with for-purpose organisations.
Regulatory Landscape
Privacy engineering is built in from the start of every engagement, not bolted on. Xephyr is ISO 27001 certified, and platforms deploy inside your environment (on-premise or private cloud) so sensitive health data does not move to a third party.
Common questions
How is AI used in healthcare and research?
In healthcare and research, AI and data work supports fundraising, operations, and privacy-preserving analytics on sensitive data.
How do you handle sensitive or private health data?
Privacy engineering is built in from the start, not bolted on. We build privacy-preserving data platforms that unify legacy systems while protecting sensitive data by design, all inside your environment.
Can you work with for-purpose and not-for-profit organisations?
Yes. Much of our health and disability sector work is with for-purpose organisations, where the priority is doing more with constrained resources. We focus on practical results that pay for themselves.
Related Industries
Discuss your health and research challenges
Book a call and we’ll show you what privacy-preserving AI can do on your data.