A decade of data work taught me what's broken. Agentic AI showed me how to fix it.
— "ket zero"represents the starting state of a qubit before it's transformed by a sequence of gates.
No slideware. No vaporware. Real intelligence infrastructure you can use.
We look at how you're gathering intelligence, what types of insights would move the needle, and erase blind spots in those areas.
We sketch out how the orchestration engine classifies your data, align on how we deliver insights that amplify actionability and define what "success" looks like.
But we don't have to. In many organizations, your data needs to live in-house, we'll make it easy to deploy it internally or deliver it securely through other means.
Once the first workflow is humming, we'll continue to iterate and expand. You'll get access to our product roadmap and have first-class access to direct it.
I've spent over a decade helping companies make better decisions with data — building measurement systems, designing experiments, and translating messy information into action at places like Grainger, MediaMath, and Epsilon.
The work was rewarding, but I kept hitting the same ceiling: too many manual steps, too many tools that didn't talk to each other, too much time spent on mechanics instead of thinking.
When agentic AI started becoming real — not just chatbots, but systems that could reason, use tools, and complete multi-step workflows — I saw the unlock. The intelligence work I'd been doing manually could finally scale.
Now I build Intelligence Hubs: automated systems that gather, enrich, and deliver strategic intelligence tuned to specific business questions. No more drowning in newsletters. No more generic platforms that don't understand your priorities.
I'm always up for a good conversation about AI, operations, or whatever problem you're stuck on.