OpenAI and Anthropic released healthcare features last month. We welcome this deeply.
Two years ago, when we started building MedHubAI, most AI conversation was about generating cat videos and writing marketing copy. We saw something different: a healthcare inflection point coming. Clinics drowning in admin. Patients expecting digital-first experiences. Regulatory frameworks that couldn't keep up.
We bet early that AI would matter for healthcare. Not as a novelty; as infrastructure.
When trillion-dollar platforms invest in the same space, they validate what we recognised years ago. The conversation shifts from "should we use AI" to "how do we implement it safely."
That's progress for everyone.
General health copilots are genuinely useful for patients wanting to understand their own data. Record summarisation. Wearable interpretation. Explaining jargon before appointments. OpenAI has connectors to 50,000+ providers. Anthropic's Claude has built-in clinical admin skills.
For patients managing their own health journey, these tools are excellent. We can work alongside them.
Here's what three years of clinic deployments taught us: patient-facing explanations are maybe 10% of the workflow.
The other 90% is operational. Scheduling follow-ups that actually happen. Reducing the 40% of admin time your front desk spends on repetitive enquiries. Handling escalations before they become complaints. Integrating with your existing systems.
This is where we add value. Not competing with general platforms; enriching the ecosystem with alternatives for clinics who need something more tailored.
This isn't about choosing one approach over another. Both can work.
We continue to work with clinics and physicians who want alternatives: multiple providers, totally owned and closed systems, independent solutions, and the ability to shape their own services based on MedHubAI pipelines and workflows.
We can be a top layer. We can connect existing systems. We can work alongside the big platforms or independently. Any kind of solution can be built.
If you're comfortable with global platforms, use them. If you want alternatives, we're here:
Completely offline systems. No cloud, no internet needed. The AI runs on your own server inside your clinic. Patient data never leaves the building.
Nothing stored, ever. Patient uploads their data, it gets analysed locally, results sent to patient, then everything gets deleted. No data sits on any server.
AI that runs inside your clinic. Wall-mounted systems, browser-based tools. No external connections required. Everything happens within your four walls.
Cloud when you want it. When scale matters, cloud works too. Your choice.
Swap providers whenever you want. The AI model is swappable. Fine-tune your own model. Own your data. The additional data layer you build; you can monetise it.
We're focusing on areas where clinics want specialised alternatives: mental health, oncopsychology, and other deeply sensitive fields.
Patients open up more to a closed system than to a corporation.
When someone is discussing their cancer diagnosis or mental health struggles, some clinics prefer that those conversations stay completely within their control. Not because global platforms are bad; because some patients want the option.
That's not paranoia. That's choice.
We're a small team with an indy vibe. Not trying to be everything to everyone.
We have a boutique approach, a personal approach.
We work with clinics who want:
We price per workflow outcome, not per seat:
And we ship a Safety and Governance spec as standard. What we never do: diagnosis, treatment decisions. What we always do: escalation triggers, audit logging, human override, retention and deletion controls.
Both consumer platforms appear delayed for EEA and UK rollout. Regulatory complexity. Data residency. Local compliance frameworks.
For clinics in Manchester or Munich or Madrid wanting to move now; we're available now. We can deploy in days.
When the big platforms arrive in Europe, clinics will have more options. We always remain an alternative for those who want one.
The big platforms add broad, consumer-facing, globally scaled healthcare AI to the world.
We add something narrower: clinical throughput plus documentation plus safer escalation for clinics who want alternatives. Locally deployed when needed. Audit-ready. Enrichment and niche.
Some clinics will use both. Some will prefer alternatives. We're building for those who want choice.
Welcome to healthcare AI, Big Tech. There's plenty of work to go around.
Last updated: January 2025