Infinitus

A framework for successful AI adoption in healthcare: hubs.li/Q04gGk9x0

NEW REPORT: We analyzed data collected by our AI agents to understand what patients and providers are actually encountering at the point of specialty therapy access: hubs.li/Q04g9vpx0

NEWS: Today we're launching Lens, the first solution to evaluate every healthcare interaction led by AI *or* humans: hubs.li/Q04fJP6j0

In healthcare, conversation quality *is* the outcome. That's why we measure more than speed and scale. Here's more on how we think about evaluating AI conversations: hubs.li/Q04ftWty0

April has been busy at Infinitus! Here's a quick recap of what we launched this month: hubs.li/Q04f0vzj0

Today, we're introducing Infinitus Studio: the first no-code AI agent builder for healthcare. 40% more accurate. 90% faster to deploy. A new path forward. Learn more and request early access → hubs.li/Q04d7RyD0

1 in 5 AI conversations are about health, but people aren’t asking about health out of curiosity. They’re asking because they’re worried. Here's what a new study in the journal Nature Health teaches us: hubs.li/Q04cN8HY0

Say yes to the "second lunch," and six more tips for those headed to Asembia's AXS26 Summit in just a couple weeks: hubs.li/Q04bFCZZ0

Most healthcare leaders assume older patients won’t engage with AI. The data says otherwise. Here's more from Anita Bracken of our Clinical Team on why this matters: hubs.ly/Q049Smzw0

Most AI strategies focus on the technology. The ones that succeed focus on people. We sat down with a global change management leader to talk about what actually makes AI adoption work, and where teams get stuck: hubs.li/Q048VD4h0

New at Infinitus: Our March updates are live: hubs.li/Q048YTcy0

AI in healthcare is full of promises. But what’s actually real today? At Asembia's AXS26, our CEO and Co-founder @jain_ankit will sit down with @optum Rx CIO Santiago Abraham to talk about it. If you’ll be in Las Vegas, don’t miss this session. More info: hubs.li/Q048G42Y0

Most AI initiatives don’t stall in Phase 1. They stall in a “never-ending Phase 2.” With help from @prosci, we're outlining what it takes to be an effective AI champion: hubs.li/Q048wpTB0

When you unlock capacity, patients can be seen faster, diagnoses can come quicker, and therapies can be received more efficiently. Our CEO and Co-founder @jain_ankit breaks it down on @hoh_pod. WATCH: hubs.ly/Q0486L1h0

What if the future of patient access isn’t about more people, but better use of them? hubs.li/Q047Mj4S0

Healthcare is moving fast from AI experimentation to real deployment. But one question keeps coming up: hubs.li/Q047wZ3n0

Most AI metrics ask: Can the model get it right? In healthcare, the question needs to be: Will it get it right every time? Under the hood, that’s the shift from pass@k → pass^k. Here's more about what that means: hubs.li/Q047q93r0

When Dr. Michael Choma of our Clinical Team replicated a recent study of AI chatbots' effectiveness at triaging patients, he found something unexpected that teaches us about the role of AI in healthcare: hubs.li/Q046xrwr0

What does responsible AI in healthcare actually mean? In this interview at ViVE 2026, our Medical Lead Erin Palm, M.D., shares how governance, evaluation, and clinical oversight are shaping the future of healthcare AI: hubs.li/Q046qM7H0

NEW in our engineering blog: Using concept activation vectors as semantic filters in production - an exploration: hubs.li/Q044sjQf0