We help organizations design, architect, and implement AI-informed systems that work alongside the people who use them. Strategy through execution. Seattle, WA.
We work at the intersection of enterprise systems, AI strategy, and hands-on engineering. Our engagements range from architecture advisory to building production systems.
Responsible AI adoption, governance frameworks, and integration planning for organizations navigating the shift to AI-augmented operations.
Enterprise integration design, API strategy, data pipeline architecture, and system modernization across cloud and hybrid environments.
Full-stack development from concept through production. Web, mobile, and API platforms built to scale.
Technical leadership for teams that need senior engineering guidance without a full-time hire. Architecture decisions, team structure, and delivery cadence.
Nikhil Singhal designs, architects, and ships production systems across every pattern of human-AI partnership. Foundation, where AI is the daily build partner. Tooling, where products use AI to build but work without any AI dependency. Pipeline, where AI enriches data behind the scenes. And Integration, where AI works alongside proprietary APIs and live data at runtime.
The building taught him something. The hardest problem in AI is not what the machine can produce. It is the structural gap between what the human means and what the machine does. He calls it the Intent Layer. He is the founder of AI Trust Commons and author of the Human Intelligence Partnership Charter, a framework for mapping these patterns. He has submitted formal comments to NIST on AI identity and governance.
The 25 years before this are why he sees it. Two decades at Microsoft, T-Mobile, AT&T, Expedia, and Hitachi Consulting watching the distance grow between what leaders intended and what systems actually delivered. The governance layer between intent and execution was always the hardest part to get right. The same pattern is playing out in AI.
Seattle, WA