I have spent almost three decades building products at large and small technology companies. Microsoft. Amazon Web Services. Xero in its early years. A handful of smaller companies in between. The work was always the same shape underneath: find a hard problem worth solving, build a product that solved it, and search relentlessly for the leading-edge technology that would let the product punch above its weight.
Through all of that, I thought I had a reasonable map of where the world’s most important technology was being built. Big tech labs. Cloud platforms. Open-source communities. Startup ecosystems. The familiar places.
I was wrong. There is a vast, quiet category of innovation that I had walked past for 30 years without noticing. It sits within the world’s universities and research institutions and is curated by a small community of professionals known as Technology Transfer Offices (TTOs).
These are the offices that take a new molecule, a new algorithm, a new material discovered in a university lab, and figure out how to bring it into the world.
They protect the intellectual property. They negotiate the licensing. They build the bridge between the researcher who made the discovery and the company that will turn it into a product, a treatment, a service, a thing that changes lives.
I joined Inteum, the company that builds the system of record many of those offices run on, four weeks ago. As CEO, I have spent every day of those four weeks talking to the people who do this work. What I have heard has changed how I think about the next decade in technology.
The category I had never seen
Roughly 300 institutions across 30 countries run their TTO operations on the platform my company provides.
The work they do is what turns fundamental research into things you can buy, hold, take, or use. A vaccine. A battery chemistry. A fraud detection algorithm. A new way to grow a crop. A medical device. The list keeps going.
This work is mostly invisible. The researcher gets the credit for the paper. The company gets the credit on the product. The office that bridged the two gets a footnote at best.
But without those offices, the bridge would not have been built. The molecule sits in the lab. The algorithm sits in the dissertation. The discovery becomes a story rather than a thing.
I had not understood any of this at the depth I needed to until I started spending my days inside it. The people who do this work at Inteum and our customers are some of the most thoughtful, quietly dedicated professionals I have ever worked with.
Our users carry an unusual mix of skills. They need to read a patent. They need to negotiate a license. They need to understand a research field deeply enough to know what is novel. They need to manage a federal compliance regime. They need to build relationships with companies that move at a different speed than the universities they serve. Most of them do this with very small teams and very large stakes.
That is the world I have walked into. It is bigger and more important than I knew.
Why AI is the moment everything changes
Artificial intelligence is the most significant technology shift I have seen in my career. I do not say that lightly. I have lived through the personal computer, the web, the mobile phone, and the cloud. AI is bigger than any of them, and it is coming faster.
In the TTO world, AI will change everything about daily work. The volume of disclosures a single office needs to evaluate. The speed at which agreements get drafted and reviewed. The breadth of researcher activity that an office can monitor for commercial potential. The ability to match a discovery to the right industry partner anywhere in the world.
AI does not just make the work faster. It changes what is possible inside a small team.
That is the opportunity. The risk is the other side of the same coin.
Every TTO sits on extraordinarily sensitive information. Pre-publication research. Inventor disclosures. Federally funded discoveries. Active patent prosecutions. Multi-million-dollar licensing arrangements. Sponsored research agreements with confidentiality terms that carry real legal weight. This is some of the most valuable intellectual property in the world. It sits in offices that do not have a Fortune 500 security budget.
Every week, those offices are being approached by AI startups offering to do something amazing with their data. Most of those startups are well-intentioned. Some are exceptional.
But many of them are asking the office to upload its most sensitive information into a system the office cannot fully see, governed by a model the office cannot fully audit, hosted in an architecture the office cannot fully verify. The terms are sometimes unclear. The data flows are sometimes opaque. The model training practices are sometimes undisclosed.
This is not a theoretical risk. The people who lead these offices are awake to it. The question they are asking is not “should we use AI?” The question they are asking is “how do we use AI without giving away the things we are paid to protect?”
Systems of record are the trust layer for the AI era
Here is what I have come to believe over the past four weeks. The platforms that will matter most in the AI era are not the AI applications themselves. They are the systems of record that the AI applications run on top of.
A system of record is the place where an organization keeps the truth about its operations. For a TTO, the system of record is where every disclosure, every patent, every agreement, every royalty arrangement, every conversation with an inventor lives.
That system has been built in our case over three decades. The data model understands what the work actually is. The security posture understands what it is protecting. The compliance scaffolding understands the regulatory environment in which the work happens. The integration patterns understand which external systems the data needs to talk to and which it absolutely must not.
An AI application that connects to a trusted system of record can do remarkable things because the substrate keeps the data inside boundaries that the office can defend. An AI application that asks the office to upload its data into the application’s own environment is asking the office to give up the substrate. Those two arrangements look the same from the outside. They are profoundly different in what they ask of the customer.
Trust is not a feature you bolt onto an AI application. Trust is an architecture. It is built underneath. It is built over decades of getting the hard parts right when nobody was looking.
This is what makes me think the systems of record we have always overlooked are about to become the most important platforms in technology. Not only in the TTO world but everywhere. Not because they are exciting on their own. Because they are the only place AI can run safely in industries where the data is precious and the stakes are real.
Why now
There is a window here that will not stay open long. Federal compliance is moving fast. Frameworks for evaluating AI partnerships are arriving in real time, but the AI partnerships themselves are arriving faster.
TTOs are being asked to make decisions about AI vendors before the standard ways to evaluate them are established. A wrong choice can take years to recover from.
The right move is to anchor the AI experience to a system of record that the office already trusts. Let the AI partner integrate against that anchor rather than asking the office to give up control of its data.
That is the model my company is pursuing in partnership with FirstIgnite, an artificial intelligence company our ownership group acquired earlier this year. Inteum holds the data. FirstIgnite delivers the AI experience that sits on top of the data.
Each company plays to its strengths. The customer keeps the substrate they have built over decades and gains the AI capability they need for the next decade.
Every category will see a version of this pattern. The names will be different. The architecture will be the same. The system of record becomes the trust layer. The AI application becomes the experience. The two together become the platform.
Why I joined
I came to Inteum because I think this category is about to matter more than ever, and because the team here has been quietly building the right thing for more than three decades without much of the world noticing.
I came because the work is unusual. It sits at the intersection of research, intellectual property, federal policy, commercial negotiation, and now artificial intelligence. There are not many places where a technology operator can apply everything they have learned across a career and still be challenged by what is on the other side of the door.
Mostly, I came because the people who do this work for a living are among the most thoughtful and dedicated professionals I have met, and the institutions they serve are doing some of the most important work anywhere in the world.
The bridge they build between research and reality is one of the bridges on which civilization runs. Helping that bridge stand stronger in the AI era is a worthwhile way to spend a chapter of a career.
If you work in this category, or are thinking about how AI changes industries built on trust and confidential data, I would value the conversation. There is a lot to figure out together.
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