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 AI systems for startups and enterprises. Agentic pipelines, retrieval and RAG, multi-agent orchestration, end-to-end AI product builds. The work spans active development, architecture advisory, and fractional CTO engagements.
Three decades of building came before the AI: enterprise scale at Microsoft, T-Mobile, AT&T, Expedia, and Hitachi Consulting. The last few years deep in AI products taught him one thing. The hardest problem is not what the model can produce. It is the gap between what the human means and what the machine does. He founded AI Trust Commons and authored the Human Intelligence Partnership Charter to work on that problem in the open.
Seattle, WA