Factor Technology

Hugh Winkler, trained as a geophysicist with experience in web architecture, identified a critical pain point in horizontal well drilling. For two decades, geosteerers—highly trained geologists—manually guided directional drilling operations by reading measurements taken downhole every 20 minutes. They relied on intuition, experience, and "seat of the pants" decision-making to keep wellbores in productive formations. The stress was enormous: a single wrong decision could steer the well out of the productive zone or into a hazard, requiring expensive sidetracks. Winkler invented a machine learning technique for well positioning that could automate this high-stakes decision-making process.

Winkler founded Factor Technology with two partners in 2017, splitting equity equally among the three founders. The team started small and lean. By the time of this interview, they had grown to six people: three founding partners (all engineers), an advisor, and a couple of programmers plus an intern. Winkler himself continued to code. They built software that could consume continuous downhole measurement feeds and compute positioning decisions, eliminating the need for human judgment calls during the drilling process.

Factor Technology faced headwinds early. The founders pitched widely but encountered a brutal combination of obstacles: COVID-19 hit, then oil prices collapsed to minus $40 a barrel in 2020. "Nobody wanted to talk to us about anything for a while," Winkler explained. Rather than fold, they made a strategic pivot from venture-backed growth to bootstrapping. They focused on acquiring early adopters in 2022—initially small consultancies, then eventually landing a major customer: one of the top 10 US oil companies. Customer acquisition required high-touch, direct engagement. "We went out and recruited a consultancy that we talked to pretty closely," Winkler said. "I go and visit them. I didn't get them through the internet." The hands-on approach mattered because the software required a workflow change that consultancies needed support to adopt.

Winkler acknowledged the tension in their pricing model. They charged a day rate ($90/day for consultancies; enterprise packages for large operators), but this created unpredictability. As Nathan pointed out, if customers could turn usage on and off easily, building recurring revenue was hard. Winkler admitted this was a weakness: "Well, I think if that was the case, you'd have more than six customers." Their strategy was twofold: keep the day-rate model for smaller consultancies (low friction, credit-card sales), but transition to enterprise packages for major oil companies that could forecast their drilling programs and commit to quarterly or annual packages. They also learned that arm's-length, low-touch customer acquisition didn't work—they needed personal relationships and coaching to drive adoption.

With six customers bootstrapped since 2017, Factor Technology was operating profitably on modest scale. Winkler was not yet breaking $1M in annual revenue but targeted that milestone for the next year. The long-term vision remained bold: in five years, he believed nobody would be manually geosteering wells the old way. The technology was unique and not yet widely understood in the industry, but early adopters—from consultancies to top-10 operators—were proving the concept. Factor Technology represented a niche, high-value automation play in an industry where a single well could cost tens of millions of dollars, where staying in the pay zone meant the difference between profit and loss, and where automating high-stress decision-making could unlock enormous value.