Building for the Agentic Commerce Future
Minnesota.AI is building for a future where commerce is conversational, agentic, and deeply integrated with AI infrastructure. We are early by design.
Why We Are Here
Minnesota.AI was registered in February 2020, but the foundation started years earlier in operations-heavy workflow automation. The path ran through Excel macros, Python automation, API integrations, and data pipeline work for digital marketing teams that needed trustworthy reporting and repeatable processes.
Before AI became mainstream, we were already building logic-heavy automation systems with manual edge-case handling and custom workflow orchestration. AI did not change the core belief. It lowered the cost of execution for systems thinking that was already in place.
What We Build Today
We build applied AI systems: lightweight, production-ready systems tied to business outcomes. Not demos, not AI theater, and not one-off chatbot installs.
Each system is designed to handle real input, apply inference, execute business logic, produce useful output, and improve with feedback over time. Alongside this, we build LLM visibility and discoverability foundations so organizations can be correctly understood, retrieved, and recommended in AI conversations.
Who This Is For
We are not the right fit for every organization. If the need is short-term certainty with guaranteed next-quarter outcomes, there are better options.
We are built for organizations willing to invest in the next interface layer of commerce and operations. You do not need to be an AI company. You need to be serious about building for where customer interaction and workflow execution are headed.
David Valencia, Founder
Full stack developer. Systems thinker. Operator.
The throughline from 2015 to now has remained constant: take messy real-world input and turn it into reliable, maintainable output. Build systems that continue to run when the original builder is not in the room.
That operations background across eCommerce, marketing workflows, and data infrastructure is what shapes Minnesota.AI today: outcome-first implementation, production constraints respected, and systems designed for durability.
Want to Build Ahead of the Curve?
If you want a practical partner for applied AI systems and LLM strategy, we can map the first implementation phase together.
Book a Discovery Call