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Making the right mistakes -- interview with Jonathan Stern, CEO of Eliyon Technologies Corporation.

October 25, 2004 — Currently founder and CEO of Eliyon Technologies Corporation, a spin-off from CardScan, Jonathan Stern has spent a lifetime attempting to replicate human decision-making processes with technology. Ben Bradley, contributing writer, recently sat down with Jonathan Stern for a conversation about failure and customer expectations.

BRADLEY: Tell us a little about your background…
STERN: I am originally from Israel where I earned a master’s degree in computer science from the Technion, Israel’s equivalent to MIT. After college and a stint in the army, I founded two companies, the first was a software-development consulting firm that grew to about 10 people. We quickly realized that consulting is a cost-plus business with no potential for leverage, and decided to change the company’s direction to focus on a product and a market.

I’ve always been fascinated with how we think, how we solve problems and the challenges of designing machines to replicate human thought processes. My second company, Rosh Intelligent Systems, did exactly that. We developed a system to diagnose failures in complicated equipment and sold it to customers including Applied Materials, Xerox and Philips Medical Systems.

In 1989 I moved to the US to be closer to our customers. I founded CardScan Inc. in 1993, the leading business card reading solution, which has sold more than half a million units. The software that reads and parses a business card is an example of computers mimicking human intelligence – the same challenge that intrigued me in my earlier companies. In 2000 I spun Eliyon Technologies Corp (www.eliyon.com) out of CardScan to focus specifically on large-scale information extraction from the Internet. Eliyon has been generating cash since the middle of 2002 and is growing 30% quarter over quarter. Eliyon’s technology is based on natural language processing and other intelligent schemes to replicate processes conventionally accomplished by human editors as they compile profiles of people and companies based on information found on the Internet.

BRADLEY: What is your worst mistake?
STERN: Not asking the right question. At Rosh Intelligent Systems we developed an expert system for troubleshooting equipment. As part of out market research we showed a prototype to about twenty potential customers and asked, “If we built a system that would do this, would you buy it?” and more than half said, “yes, we need it to reduce costs of training and downtime of customer equipment.” Confident of our future success, we completed the development but then encountered difficulties in selling to these same customers. It turns out that many of them were, at that time, busy implementing an operational system to track spare parts inventory, called “history and service call scheduling.” What we should have asked in our early meetings was “what is your biggest problem and what systems are you considering buying and implementing?” We misinterpreted polite and well-meaning answers to what turned out to be the wrong questions. People are a less polite and more direct when you ask for the order.

BRADLEY: What happened because of this mistake?
STERN: We designed and built one of the most powerful and flexible diagnostic systems, but it was a hard sale, with long sales cycle and a high degree of customization. We grew the company year after year for five years, but never managed to turn a profit, which in turn necessitated several rounds of financing to cover our loses. It was no fun and kept eroding our founders’ shares.

BRADLEY: How did you fix this mistake?
STERN: After I left, we ended up selling the company to another enterprise that offers a larger basket of “field service solutions.” The system is still operational and is actually the backbone of several “self service” web sites that take customers through diagnosing and fixing home appliances and other equipment. While this is really the ideal role for such a technology, we built the technology before the widespread adoption of the Internet. We were a little before our time.
the web did not exist in the early 1990.

BRADLEY: What would you do differently now that you know better?
STERN: I continue to innovate and come up with new product ideas that are based on machine intelligence. In that sense I do not follow my own advice of “ask the customer what they plan to buy.” However, I now put these ideas to real market tests before investing too much money and emotional capital. For example, when starting CardScan Inc., we raised a small round of angel financing, just enough to bring a rudimentary product to market, and then started selling. Only after initial sales successes did we go to venture capital firms to raise more money. I now insist on taking products to the market as rapidly as possible. In general customers would make a purchase decision based on marketing material and a demonstration and hence one can really test the market well in advance of big development investments. However, that is not to say that once market is validated that you do not need to invest in product to advancement and polishing. For example, CardScan just released version seven of its software and hardware, and Eliyon released its fourth generation of product.

Another lesson I now adhere to rigorously is to bring the company to cash generation as quickly as possible. It forces you to focus on the only real thing – what would customers pay for -- and it reduces clutter and confusion since you have no resources to do things that are not absolutely necessary.

BRADLEY: What advice would you give to others about growing their businesses?
STERN: Go to market as early as you can and focus your energies on getting paying customers who will make you cashflow positive. The worst thing you can do is to go through several product development cycles before real customers actually purchased it. No product is ever perfect and your customers are the best source of feedback. Customers will actually shorten your development cycle because when they pay money they will help you focus on a short list of must-have features. If you can’t get any customer to pay money for product in its rudimentary state, you have a problem, but at least you’ve identified it before spending all your resources. Without the experience I gained with Rosh and CardScan, Eliyon would still be in development, polishing the algorithms. As it is now, we have 25% of the Fortune 100 relying on the product for their job candidate sourcing, and we have a rapid product enhancement curve, constantly increasing the product’s value to those customers.

Ben Bradley is the founder of Growingco.com (see the Darwin article). GrowingCo customers use our data, forums, surveys and white papers to improve understanding of customer needs, collect peer insight, benchmark against peers and competitors, evaluate demand drivers and understand market customer requirements. Ben can be reached at ben@growingco.com.

 

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