Success Stories

Sevvy, an innovative Dutch food tech company, has introduced Pulsed Electric Field (PEF) technology, revolutionizing cooking by reducing baking fats, salt, and sugar by up to 50%, and cutting electricity usage by up to 90%. Partnering with GetFocus, Sevvy assessed 27 cooking technologies, confirming PEF as one of the most promising, ensuring their pioneering approach leads the future of food tech innovation

Qurin is pioneering new approaches to early-stage cancer detection, enabling doctors to diagnose the disease earlier and providing patients with better outcomes. With many competing technologies in their space, Qurin wanted an overview. In this case study we show how GetFocus helped Qurin scout competing technologies, compare them, and forecast their improvement rates. With these insights, Qurin got a comprehensive overview of the state of affairs and stress-tested its R&D strategy.

Philips leveraged GetFocus' AI forecasting to improve its investment strategy in medical technologies. By analyzing over 146 million patents, GetFocus provided Philips with a detailed overview of the developmental history and future prospects of a key medical technology. This helped Philips make informed decisions on investment timing and understanding the competitive landscape, utilizing GetFocus' efficient and cost-effective technology forecasts. This approach proved more efficient than traditional, time-consuming analysis methods.

Sevvy, an innovative Dutch food tech company, has introduced Pulsed Electric Field (PEF) technology, revolutionizing cooking by reducing baking fats, salt, and sugar by up to 50%, and cutting electricity usage by up to 90%. Partnering with GetFocus, Sevvy assessed 27 cooking technologies, confirming PEF as one of the most promising, ensuring their pioneering approach leads the future of food tech innovation

Qurin is pioneering new approaches to early-stage cancer detection, enabling doctors to diagnose the disease earlier and providing patients with better outcomes. With many competing technologies in their space, Qurin wanted an overview. In this case study we show how GetFocus helped Qurin scout competing technologies, compare them, and forecast their improvement rates. With these insights, Qurin got a comprehensive overview of the state of affairs and stress-tested its R&D strategy.

In our study on Seagate, we analyze the debate over whether SSDs will become cheaper than HDDs. Using the GetFocus platform to examine patent trends, we discovered that SSDs are improving more rapidly than HDDs. However, the current price gap remains significant, and our forecast indicates that while SSDs will eventually be more cost-effective, this is unlikely to happen by 2025, contradicting predictions from both Seagate and Toshiba.

Philips leveraged GetFocus' AI forecasting to improve its investment strategy in medical technologies. By analyzing over 146 million patents, GetFocus provided Philips with a detailed overview of the developmental history and future prospects of a key medical technology. This helped Philips make informed decisions on investment timing and understanding the competitive landscape, utilizing GetFocus' efficient and cost-effective technology forecasts. This approach proved more efficient than traditional, time-consuming analysis methods.

The GetFocus case study on Kodak demonstrates how AI predictions could have helped the company foresee the dominance of digital photography over film as early as 1983. Using our improvement rate measurements for film and digital imaging technologies, GetFocus' analysis showed that digital was improving faster than film, indicating an impending disruption. This insight, available almost two decades in advance, could have allowed Kodak to adapt before the decline in film sales began.

Rouse, a management consulting firm specializing in intellectual property, collaborated with GetFocus to develop a comprehensive patenting strategy for its clients. Facing challenges in effectively gathering IP intelligence across diverse domains, Rouse utilized GetFocus' custom AI classifiers. This approach allowed Rouse to take control over AI-assisted patent searches, bypassing the limitations of traditional Boolean and unsupervised machine learning methods.