Isaree Blog - On-Device Clinical AI for Healthcare

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Latest — 17 Jul 2026

Don't Start with AI. Start with a Workflow.

It's the weekend, so why not give building with Isaree a try? Here you'll find the guide for your first agent and the six phases that follow. If you do not have access yet - register on the wiatinglist. Part 1 of 2. Part 2 — Build

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The Week Proximity AI Stopped Being a Pitch

By Bart de Witte, Founder, Isaree 24 June 2026 We shipped our macOS agent harness, integrated openEHR, survived a hackathon, and watched the cloud-vs-on-device debate collapse under its own weight. Here's what happened. Last week, in the previous post, I argued that the long tail of clinical AI,

The EU Just Redefined AI Sovereignty Around Data Centres. It Forgot About Your Devices.

By Bart de Witte, Founder, Isaree 24 June 2026 Three weeks ago, the European Commission adopted the Cloud and AI Development Act (CADA); the most ambitious piece of EU digital infrastructure legislation since the AI Act. It proposes to triple European data centre capacity by 2030, creates a four-tier cloud

Stop Leaving the Patient to Search the Literature

In 2024, I gave a talk about AI in healthcare. Afterward, a young doctor approached me. He'd been sitting in the audience, listening. Something clicked. He told me Europe needed its own clinical evidence platform — not another US import, not another cloud dependency, but something built here, for

60,000 Reasons the Hospital AI Era Belongs to Clinicians, Not Cloud Vendors

Three weeks ago, I wrote about why cloud APIs are already obsolete in healthcare. Last week, I wrote about the bottleneck shifting, how the new interface for building software is natural language, and how clinicians, not engineers, are becoming the new builders. Then Prosus dropped a report that validated both

The Bottleneck Shift: Why Clinicians Are the New Builders

Something fundamental changed in software this year, and the healthcare industry is barely paying attention.For the last forty years, the global economy relied on roughly 30 million professional software engineers to translate human problems into machine instructions. That was the bottleneck. If a clinician had an idea to fix

Why Cloud APIs Are Already Obsolete in Healthcare

Three years ago, I started using Manus AI as a research agent. Like many, I was captivated by its capability. But as I integrated it deeper into my daily workflows, two things slipped entirely out of my control: cost and ownership. When the platform recently surged its pricing-forcing users who

The Disruptive Economics of Local AI vs. Token-Based APIs

Deep Research Analysis Executive Summary The enterprise artificial intelligence market is currently dominated by frontier models served via token-based cloud APIs. However, an analysis of the economic, regulatory, and technological trajectories reveals that these incumbents are highly vulnerable to Clayton Christensen’s model of Disruptive Innovation. By evaluating the Total

The End of the "One Big Brain": Why Every Clinician Will Run 10 AI Agents

Walk into any hospital today and you’ll see the same bottleneck: a single, massive model trying to play every role at once. One model and one generic interface. We are asking a single, general purpose model to list differentials, draft clinical notes, check billing codes, and write patients letters.

The Difference Between Renting Intelligence and Building the Agentic Web

Dear readers, When we tell the market that Isaree refuses to build thin wrappers around closed cloud models, the critique is immediate: Why not just use the best available API? Why insist on on-device, open-source or open weight based agents? You are being dogmatic about technology. We are not dogmatic