ClaraYet was founded by two people who got tired of watching organizations buy AI tools and never use them. We don't study the adoption gap — we close it.
We've been building software together since 2001 — federal platforms, SaaS products, enterprise modernizations. Over two decades of shipping real systems. When AI shifted from research curiosity to operational tool, we saw the same pattern play out everywhere: organizations would buy licenses, watch demos, send teams to webinars, and then... nothing. Six months later, adoption was at 12%.
The technology wasn't the problem. The tools were powerful. The documentation was thorough. What was missing was the last mile — someone who could translate between what the platforms could do and what the team actually needed done, then wire it all up and make it stick.
AI platforms ship capabilities. We ship adoption. That's the gap ClaraYet exists to close.
The name says it all: Clara from "clarity" — the thing every overwhelmed team needs. Yet — the pause before action, the moment where you know you should move but haven't. You haven't tried Clara. Yet.
ClaraYet is built by a team that has been shipping software together since 2001 — across federal agencies, enterprise platforms, and cloud infrastructure. We're not a startup experimenting with AI. We're practitioners who decided to focus entirely on the adoption problem.
Jae works with AI as a full collaborator every day — not for code snippets or autocomplete, but across entire product lifecycles. Legacy modernizations, SaaS products, federal platforms. What he's learned doing this work is something most AI conversations miss: the hard part isn't the technology. It's knowing how to implement it into the infrastructure you already have and the infrastructure you're building toward.
He's codified what works into a framework called The Architect and The Navigator — a methodology for AI collaboration built on real case studies, not theory. The methodology is what he practices daily with every client engagement.
The Architect and The Navigator — publishing on Leanpub. A framework for AI collaboration that defines two roles: the Architect who designs the system, and the Navigator who knows which AI tool to deploy for which task across an increasingly complex landscape.
ClaraYet isn't a solo operation. Our strategy and education practice is shaped by advisors and partners with deep roots in enterprise cloud architecture, AI platform evaluation, and public sector technology — including leadership roles at organizations operating at the intersection of government, security, and emerging technology.
This team brings the landscape intelligence that drives every ClaraYet engagement: knowing which platforms matter, which are noise, and how the AI ecosystem is evolving in real time. When we tell a client "use this tool for this workflow," that recommendation is backed by practitioners who track 15+ AI platforms daily across generalist, specialist, and agentic categories.
Our team's perspectives on AI adoption, cloud transformation, and emerging technology have been featured in industry discussions alongside leaders from the FBI, major cloud providers, and federal technology organizations.
Start with the process that's broken, not the technology that's shiny. The right tool depends on the job.
We don't hand off PowerPoints and disappear. We build the workflows, deploy them, and train your team.
Every engagement ends with your team owning the capability. We build ourselves out of the job.
AI without a framework is expensive experimentation. We bring structure to every engagement.
ClaraYet is backed by established technology companies and advisors with deep roots in enterprise architecture, federal platforms, and AI implementation. We brought existing expertise, infrastructure, and client relationships into a shared mission: making AI adoption real for organizations that need it.
"Organizations don't need more AI tools —
they need a guide."
Let's talk about where AI can make the biggest impact in your organization — and how to actually get there.
You haven't tried Clara. Yet.