Where Great Tech Meets the People Who Need It
Somewhere in Israel right now, a research team is putting the finishing touches on a technology that could reshape an entire industry. And somewhere else sometimes only a few kilometers away a company, an investor, or an entrepreneur is searching for exactly that breakthrough. The quiet tragedy of innovation is that these two sides so often fail to find each other in time.
I have spent more than twenty years trying to close that gap, and I want to use this blog to share what I have learned because the tools we now have to bridge it are changing faster than at any point in my career.
Two worlds that should be talking
On one side are the institutions that create technology: universities, research institutes, hospitals, and the technology transfer offices that turn their discoveries into licensable, investable assets. I have lived on this side for most of my career over 2 decades, first as CIO at Yissum, the technology transfer company of the Hebrew University of Jerusalem, and later as CIO and head of marketing at Yeda, the commercial arm of the Weizmann Institute of Science and a Director at ITTN, Israel’s Technology Transfer Organization. These organizations sit on some of the most valuable intellectual property in the world.
On the other side are the people who could put that technology to work: companies looking for an edge, venture capitalists hunting for the next opportunity, and entrepreneurs ready to build. They would happily collaborate if only they knew what was available.
The problem has never been a shortage of innovation, or a shortage of demand for it. The problem is discovery. The right two people are usually not in the same room, the same network, or even the same country. For decades, the standard answer was to publish technology summaries on a portal and hope the right visitors would wander in. But a passive portal is a doorway no one walks through if they do not know it exists.
From a passive website to an active connection
The breakthrough in my own work was realizing that we did not have to wait to be found. We could go and find precisely the right people at scale, and with a level of targeting that simply was not possible by hand.
When I started, outreach on LinkedIn was entirely manual, which capped how much market research I could realistically do. Over the past several years that changed completely. By combining LinkedIn, automation, and a tightly synchronized CRM, we turned a passive members portal into an active marketing engine.
Instead of broadcasting to everyone, we could pinpoint exactly who should hear about a given technology: the CTOs and heads of R&D most likely to give useful feedback on a new invention, or the business-development and research leaders in a specific sector, company size, and city say, medical-device executives in Boston who would genuinely want to license technology from a world-class institute. When you reach the right person with the right context, the chance they engage rises dramatically.
The results spoke for themselves. We grew to thousands of company-page followers at a rate that outpaced peer offices at Columbia, Oxford, and Stanford; we signed up thousands of portal members high-level CEOs and heads of R&D in a matter of months; and we built a database of more than 23,000 leads, each one synchronized so that a team of ten always knew who had spoken to whom, about what, and what they cared about. As I told Technology Transfer Tactics at the time, doing this manually simply would not cut it.
Where AI and Neuro Linguistic Programming (NLP) change the game
What made all of this possible was automation. What makes it exciting now is artificial intelligence and NLP in particular.
The hardest part of connecting two professionals has never been sending the message. It is understanding intent: who is actually interested, what they are working on, what language will resonate, and when the moment is right. This is exactly what NLP is built for. It can read signals at a scale no human team could, draft outreach that feels personal rather than mechanical, and surface a handful of genuinely relevant matches out of tens of thousands of possibilities. Done well, automation does not make outreach more robotic, it makes it more human, because it frees you to have real conversations with the people who matter most.
That is the thread I plan to pull on in this blog: how AI, automation, and NLP are reshaping the way professionals find each other and do business and how to use these tools with judgment rather than hype.
What this means for both sides
If you are on the technology side, a TTO, a research institute, a startup with IP the lesson is that your audience will not find you on its own. Unique, high-value traffic does not arrive by accident. It is built, deliberately, by reaching the specific people who can do business with you.
And if you are on the other side an investor, an entrepreneur, or a company looking to innovate it is worth remembering how much extraordinary technology never reaches your desk simply because no one connected the dots. The opportunities are out there. Increasingly, the question is whether you are using the right tools to surface them.
Over the years I have been fortunate to work alongside some of the people who define Israeli technology, Nir Zuk, Amnon Shashua, Shmuel Peleg, Gideon Ben-Zvi and many others. I was fortunate to see up close how the best ideas travel from the lab to the market. In the posts ahead, I will share practical lessons from that journey: what actually works, what is overhyped, and how AI is quietly rewriting the rules of professional connection.
If that is a conversation you want to be part of, follow along and feel free to connect with me on LinkedIn.
Tamir Huberman has spent over 20 years in technology transfer, applying AI, automation, and NLP to transform how professionals connect and do business.