Built to Bring
AI to Everyone

Serving the Organizations Others Overlooked

Matthew co-founds Blue Maven IT with a mission to bring professional-grade technology support to the clients most firms pass over — small and medium-sized businesses and nonprofits. As Chief Technology Officer, he works directly alongside these organizations, understanding their constraints, their goals, and how much they stand to gain from technology that is usually out of reach.

The work is hands-on and humbling in the best sense. Matthew learns that the gap between what technology can do and what most organizations actually experience isn't a technical problem — it's an access problem. That insight becomes the seed of everything that follows.

The Enterprise View — and Its Limits

Matthew joins Salesforce, stepping into one of the world's most recognized enterprise technology platforms. The scale is unlike anything he's experienced before — and so is the potential. AI is everywhere in the conversation, and the tools to deliver it are maturing fast.

But Matthew quickly observes a tension that exists across the enterprise landscape: even at companies at the frontier of technology, the pace of process improvement is constrained by competing priorities, organizational complexity, and the reality that at scale, nobody has time to stop and build what's next. Great ideas stay in slide decks. He grows restless. He wants to be somewhere he can actually ship.

Where the Breakthrough Happens

Matthew joins the Indiana Department of Transportation as a Senior Consultant, brought in to drive innovative projects at the intersection of government, academia, and emerging technology. He works within the Joint Transportation Research Program (JTRP) in partnership with Purdue University — one of the most respected transportation research programs in the country — while simultaneously leading a new wave of AI initiatives across the agency.

The environment is exactly what he needed: real problems, real stakes, and the latitude to build. Matthew quickly establishes himself as the person who gets things done — the one who bridges the gap between research potential and operational reality.

Recognized by Google. Adopted by 60 Agencies.

In 2025, Matthew's AI work at INDOT reaches a defining moment. When Governor Mike Braun issues Executive Order 25-13 — mandating that all state agencies complete a government efficiency report within 30 days — Matthew's team responds by building a Retrieval-Augmented Generation (RAG) solution in a single week using Google Cloud's Vertex AI and Gemini. The system generates reports across nine INDOT divisions at 98% fidelity, saving an estimated 360 hours of manual effort.

INDOT becomes the largest Indiana state agency to submit on time. The framework is adopted by 60 other state agencies across Indiana. Google features the project as a landmark case study in public-sector AI transformation — a rare recognition for a state government team.

It is through this work that Matthew meets Josh Dayberry, a Google AI specialist who has been supporting INDOT's cloud and AI infrastructure. Their conversations quickly move beyond the project — they share a philosophy, a frustration with how slowly AI is being deployed to organizations that need it most, and a vision for what a different kind of firm could look like.

Leaving to Build Something Bigger

Matthew makes the decision to leave INDOT and found Omnient AI. The mission is personal and precise: bring the transformational power of AI to every organization — not just the well-funded ones. Small businesses. Nonprofits. Mid-market manufacturers. Government agencies with limited budgets and real problems. Everyone deserves access to what AI can do.

Josh Dayberry joins as a founding partner. Their first engagement sets the tone immediately. Working with Dana Transmission, they develop a comprehensive AI implementation roadmap for the D7 production line — identifying automation opportunities, data pipeline improvements, and predictive quality applications that together project a 200% return on investment within just 9 months.

The result stuns the client. It also confirms everything Matthew has spent years believing: that when AI is delivered with genuine expertise, real accountability, and a relentless focus on client outcomes, the value it creates is extraordinary — and accessible to any organization willing to commit to it.

The Mission Continues

In 2026, Omnient AI remains as committed as ever to the mission that started it all. The firm continues to serve small and medium-sized businesses and nonprofits — the organizations that stood at the center of Matthew's career from the very beginning — alongside mid-market enterprises and public-sector clients who deserve the same quality of AI expertise as the largest organizations in the world.

Every engagement is measured the same way: did it deliver exceptional value? Did the client come away with more capability than they had before? Was the ROI real, measurable, and meaningful? Those questions don't change regardless of the client's size, sector, or starting point.

That is the Omnient AI standard — and it always will be.