Built by an engineer who spent 15+ years inside Google, Mandiant, and the world's largest enterprises — and saw firsthand how AI should actually work.
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I spent over 15 years building security and AI products at some of the world's most demanding organizations — Google, Mandiant, Symantec, and Canada's largest financial institutions. I've launched products to 300+ enterprise and government customers, built ML/NLP systems that reduced false positives by 85%, and delivered platforms that met FedRAMP, PCI-DSS, and CMMC 2.0 compliance standards.
At Google Cloud Security / Mandiant, I led the Digital Threat Monitoring platform from MVP to market — building machine learning and NLP models that analyzed millions of daily threat alerts for government SOC teams. We achieved 300+ customers in the first quarter, serving federal agencies, defense contractors, and regulated enterprises.
That experience showed me something important: the organizations that need AI the most are often the ones struggling the hardest to implement it. They have the data, they have the use cases, but they lack the engineering bridge between AI potential and production reality.
That's why I founded CE Inc — Cognitive Engineering Inc. We take the same production-grade, security-first approach I brought to Google and Mandiant, and apply it to helping organizations build AI systems that actually ship.
After years of building AI-powered products inside Google and Mandiant, I kept seeing the same pattern on the outside: organizations excited about AI, investing in pilots, but unable to get anything into production.
The demos worked. The leadership was on board. But when it came time to connect the AI to real systems, handle real data at scale, and meet real compliance requirements — the projects stalled.
"Most AI projects don't fail because of bad models. They fail because nobody built the bridge between the AI and the real world."
CE Inc exists to be that bridge. We bring the engineering rigor of Google, the security mindset of Mandiant, and the enterprise pragmatism of having shipped products to hundreds of Fortune 500 companies and government agencies — and we apply all of it to getting your AI into production.
We don't do science projects. We don't build demos that sit on a shelf. We build AI systems that integrate with your existing infrastructure, meet your compliance requirements, and deliver measurable value from day one.
Principles shaped by 15+ years of building production systems at scale.
Every decision we make is oriented toward getting your AI into production. We don't optimize for impressive demos — we optimize for systems that work reliably at scale, day after day.
Coming from Google, Mandiant, and regulated financial institutions, security isn't an afterthought for us. We build AI systems with enterprise-grade security, compliance, and data governance baked in.
AI is only valuable when it's connected to your real systems. We specialize in bridging AI with your existing databases, APIs, legacy platforms, and workflows — no rip-and-replace required.
We build systems you own and teams that can maintain them. Our goal is to make your organization more capable, not more dependent on us. Knowledge transfer is built into every engagement.
We measure success by what's running in production, not by the number of slides in a deck. Every engagement is oriented toward working software.
With roots in Google Cloud Security and Mandiant, we build every AI system with enterprise-grade security, compliance, and data governance from the ground up.
We embed with your team, transfer knowledge, and build systems you own. We want to make you more capable, not more dependent.
Whether you're exploring AI for the first time or ready to scale, I'd love to hear about your project.