Building Knowledgeable Update 1: We’re not here to overpromise

We’re nearly there. Not in a loose, marketing-deadline kind of way, but in a more meaningful sense. The system is doing what we expected it to do. The engineering is hitting the marks we set. The right signals are coming out of the data. It’s all happening. And while that’s a good feeling, this update isn’t about hype.

This is about being deliberate. About the thinking behind what we’re building and the discipline it takes to get it right. Not just to launch something, but to launch the right thing for Strategic Market Access consultancies, built for the complexity they navigate and the accountability they carry.

Because let’s be honest. Everyone wants to do something in AI right now. We’ve all heard the buzzwords, read the big claims, and seen a few too many demos where everything looks polished until you scratch the surface. And we’ve definitely heard the stories about it going wrong. Especially in healthcare. That’s not a space for shortcuts. It’s a space that demands proof.

Getting real about what’s actually hard

Building this platform hasn’t been smooth sailing, but it has been deliberate. We’ve had to think about every detail: from how data is ingested, structured, and categorized, to how the workflow supports actual consulting decisions. It’s a complex challenge, and that’s exactly why we’ve taken our time.

Take something as basic as literature review. If I had a pound for every time someone told me an AI product could do “automated SLRs,” I’d have a decent side hustle. But ask those same people whether the outputs are traceable, whether the sources are attributable, whether the process holds up to the expectations of a regulator or a payer, and the answers get vague pretty fast.

We are not here to build a flashy surface. We are here to build confidence. That means AI outputs that are traceable, attributable, and contextually correct. It means structuring data with a clear ontology designed by experts in the field. It means avoiding clever shortcuts and instead asking, “How would we want this to work if we were using it in our own consulting projects?”

Because we have. And we do.

Thinking ahead, before we even launch

We’ve approached this from the ground up. That starts with understanding the difference between playing with AI and putting AI to work. Playing is easy. You throw a prompt into a model, get something that looks plausible, and tweak it a few times. That’s not good enough when decisions affect access, pricing, or the clinical interpretation of evidence.

The hard bit is building a workflow that keeps everyone aligned. That helps a team of consultants get from input to insight to output without losing context, track record, or data integrity. That’s why the Knowledgeable platform is built as an AI-enhanced operating system, not just a tool, but a working model for how strategic Market Access teams can collaborate more effectively.

We’ve thought about how this evolves. About what it means to scale responsibly. That’s why we’re not throwing features into the product just because we can. We’re testing rigorously. We’re keeping the user experience simple where it needs to be, structured where it counts, and open enough to support real-world workflows across pricing, HEOR, stakeholder engagement, and clinical planning.

And it’s why we’ve made peace with leaving things out... for now. Because we want to be sure that when something goes in, it works. Not just technically, but strategically.

The AI Act is here. And that’s a good thing.

I’ve said this in a few conversations recently, and I’ll say it here. The new EU AI Act is one of the best things that could have happened for the healthcare AI space. It puts a line in the sand. It forces all of us (developers, vendors, clients) to think more carefully about where AI is used, how it’s validated, and what guardrails are in place.

For us, that wasn’t a pivot. That was already the plan. From day one, we’ve been thinking about safe, regulator-happy ways to apply large language models in market access workflows. Not everywhere. Just where it helps. And where we can defend the results with confidence in the insights and clear data lineage rooted in trusted sources.

We know our clients need to act quickly. But we also know they can’t afford to act blindly. And that’s why we’re being so strict with ourselves.

Almost there, but we’re not overpromising

Everything we’re seeing now: the platform behavior, the results coming out of the dataset, the response from early users, tells us we’re on the right track. And still, we’re not here to promise the world.

We’re here to deliver something reliable. Something smart. Something your team can build on, work in, and trust. A true Market Access Platform. A HEOR Platform. A Knowledge Management System that’s finally designed for the way real projects run. And one that’s built to last.

👉 Watch the product video. That’s it. No pressure. Just see what we’ve been quietly working on.

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