European companies have invested massively in AI in recent years, as if someone had shouted \u201call in\u201d and without limits. Billions for smarter planning, better forecasts, less waste, more efficiency. Sounds like the future, smells like progress. But the disillusionment has already set in. Two-thirds of AI projects are stuck in the pilot phase not because the systems are bad. But they come up with inexplicable decisions. <\/p>\n\n
This is not due to the technology as it is capable of far more than the teams believe. Maximilian Gismondi, CEO and founder of Backwell Tech, sums it up perfectly: \u201cIt’s the black box dilemma.\u201d If an AI tells the production manager, \u201cChange these parameters!\u201d or \u201cadjust this pricing,\u201d the manager has two options and can either blindly follow or ignore the recommendation. And because no one can argue \u201cthe algorithm said so\u201d in a million-euro decision, it usually comes down to option two: ignore it and carry on as usual. <\/p>\n\n
To address this critical issue, the Berlin-based scale-up Backwell Tech is launching its Explainable Predictive AI (XAI) on the German market. The company is on a clear mission to come up with accurate and understandable AI. Only when teams can understand why a business recommendation is generated can it be implemented effectively\u2014and thus deliver real economic benefits. <\/p>\n\n
\u201cAI-supported forecasts must be understandable and verifiable; otherwise, they are not economically viable,\u201d says Maximilian Gismondi. \u201cTransparency is essential for building trust in data-driven decisions.\u201d <\/p>\n\n
Backwell Tech is therefore introducing an AI platform that delivers targeted, precise predictions on key business metrics based on company data rather than something only comprehensible to insiders. When they make a recommendation based on forecasts, they also provide the story behind it, i.e., data, trends, signals, and market behavior. No mystical algorithmic fog from a black box, but rather comprehensible chains of cause and effect. This is exactly what managers need when they have to explain decisions to the board, authorities, customers, or simply their own team. <\/p>\n\n
Backwell Tech’s systems demonstrate something that is often overlooked in many strategy decks: AI rarely fails because of its intelligence. It fails because people do not trust it. And without trust, there’s no implementation. If AI does not impact business, it will remain on the level of an expensive pilot project as has already occurred in many companies. Those who want AI to finally deliver need smarter models and a technology that can explain its recommendations. <\/p>\n\n
Backwell Tech does precisely that: AI that does not require the blind faith of an oracle but that can be understood, tested, and defended. This is what distinguishes an expensive pilot project from a genuine competitive advantage; this is what transforms uncertainty into opportunity; this is what delivers trustworthy AI predictions for the team. <\/p>\n\n
Backwell Tech is a high-tech company founded in 2019 by Maximilian Gismondi, CEO. It specializes in proprietary AI models based on scientific research. These models deliver explainable algorithms, ensuring clarity and transparency in results and decisions. The company operates in various industries, including manufacturing, food distribution, real estate, retail, energy, and telecommunications. It offers customized, predictive analytics that drive dynamic growth. <\/p>\n\n
For more information, please click on www.backwelltechcorp.com<\/a>.<\/p>\n