About Laminar
Twenty Years of Solving Hard Problems for Complex Organizations.
Our Story
Laminar Consulting Services was founded in 2005 at an interesting moment in the technology industry. Large IT firms were consolidating, talented senior technologists were looking for better ways to work, and mid-market organizations in regulated industries were underserved: too complex for generic software vendors and too small for the big consulting firms.
Our founder, Sean, came to technology after serving in the United States Marine Corps, which shaped how he thinks about execution and accountability. He then spent more than a decade selling and delivering technology services, from software training and Microsoft infrastructure to enterprise software and custom development, and built a network of senior engineers, architects and project managers along the way. Laminar was founded on a straightforward premise: assemble the best people, stay close to the client's business problems, and deliver work that holds up in complex, regulated environments.
Twenty years later, the premise is the same. What we build has become more complex, and we can now build AI into it.
How We Think About Our Work
Laminar has always been a business-first technology firm. Our founder came up through sales rather than engineering, so every engagement starts with the business problem. We ask where decisions are slowing down before we talk about what to build, and we measure success by what changes in the operation.
That approach suits complex mid-market organizations. What they need from a technology partner is someone who understands their operational constraints, respects their compliance environment, and builds systems their people trust and use.
Over twenty years, that approach has taken us from lease approval workflows for a healthcare REIT to product development systems for a national food manufacturer, and from a HIPAA-compliant rewrite for one of the country's largest radiology networks to a cloud-based sales platform for a medical device company later acquired by Boston Scientific. The industries have varied, and the way we work has stayed the same.
Why the Laminar Name
In fluid dynamics, laminar flow describes movement that is smooth and consistent, with fluid traveling in parallel layers without turbulence. Turbulent flow is the opposite: energy is wasted and outcomes are hard to predict.
We chose the name because it describes how we think technology projects should run. Work moves in a controlled, visible way from problem definition through design, development and deployment, without the rushed sprints and runaway budgets that give software projects a bad reputation.
That's the Laminar way. We worked like that on our first web-based workflow systems in the mid-2000s, and we work like that now as we build AI into systems for operationally complex organizations.
Our Team
Laminar operates as a focused team of senior practitioners: architects, developers, and workflow specialists who have spent their careers in the industries we serve. We don't staff projects with junior people supervised from a distance. The people who scope your engagement are the people who build it.
Today that team builds AI into the systems we deliver, including agents that read documents, route work and draft recommendations, on top of decades of workflow and integration experience. We use the same tools in our own business every day.
20+
Years in business
Senior
Practitioners only, no junior staffing
8
Published case studies
USMC
Veteran-founded and led
Our Point of View on AI
We've watched a lot of technology waves move through complex industries over the past twenty years. Most of them arrived with more hype than the market could absorb, and left behind expensive implementations that underdelivered.
AI has more real potential than most of those waves. In our view, the organizations that benefit most will be the careful ones. They build governance in from the start, keep people responsible for the decisions that matter, respect their compliance requirements, and tie each project to a business result they can measure.
“Not ‘what can AI do?’ but ‘where does AI make your operations meaningfully better — and how do we implement it in a way your auditors, your leadership, and your team can actually trust?’”
After twenty years of building systems that have to work in the real world, that question feels like the right one to be asking.
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Evaluating AI for Your Operations?
If you're evaluating AI for your operations and want a conversation grounded in how your operation actually runs, we'd welcome the chance to talk.
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