Real stories from the builders, researchers, and teams turning bold ideas into reality.
The energy transition is rewriting the rules of infrastructure management. As renewable generation expands and electricity systems grow more distributed and variable, the ability to anticipate weather with precision has moved from operational convenience to strategic necessity. Wind and solar generation are inherently weather-dependent. Grid operators, infrastructure planners, and energy managers need to work with environmental data at a depth and speed that traditional numerical forecasting methods were not designed to support.
The Earth is constantly sending signals. Vegetation stress weeks before a harvest shortfall. Urban growth patterns that reshape consumer demand and catastrophic flooding events that close distribution corridors before a logistics team has seen a weather alert. The data exists and the science is mature, but for most enterprises, these physical-world signals have remained out of reach because they are too complex to operationalize and too disconnected from the systems where supply chain decisions actually get made.
Production scheduling is one of a manufacturer’s hardest operational challenges. A major beverage manufacturer was replanning schedules 10 to 15 times per week, relying on manual meetings and operator expertise to respond to constant disruptions.
Space Intelligence is a UK-based organization that produces high-quality forest maps by combining petabytes of satellite data with machine learning and ecological expertise, transforming raw mapping data into trustworthy insights so decision-makers can protect and restore forests globally. The team faced a critical scaling problem: desktop computing infrastructure could only map small areas in weeks at a time, making it impossible to address urgent global needs. As Chief Scientist Ed Mitchard put it: “Every decade we lose 10% of the world’s forest. We need to move more quickly.” The EU’s new Deforestation Regulation, which requires mapping 39 tropical countries, made cloud infrastructure essential.
Commerzbank AG, one of Germany’s leading financial institutions, needed to modernize digital customer support while addressing fragmented legacy systems, evolving regulatory compliance requirements, fraud prevention demands, and rising customer expectations for instant, personalized service. The bank set out to bridge the gap between what customers demanded and what outdated systems could deliver — and it needed a solution that maintained trust, transparency, and security at full retail-banking scale.
Bayer agronomic advisors — frontline crop protection specialists supporting farmers and retail partners — faced a critical bottleneck. Advisors needed to deliver precise, context-specific guidance on pesticide and herbicide use across diverse regional regulations and crop types, but spent hours or days manually searching product labels exceeding 100 pages. As Sachi Desai, VP of AI Go-to-Market at Bayer, put it: “A wrong answer isn’t just a missed opportunity — it could cause real harm to a farming operation.”
Capacity is a support automation platform whose Answer Engine helps enterprises surface answers from across fragmented knowledge sources — documents, emails, chat threads, PDFs, videos, and apps. Traditional search lacked the context to bridge these information silos, so the company set out to move from a natural language classifier to a generative AI-native architecture that could deliver precise, context-aware answers at enterprise scale.
MediaTek is a leading semiconductor company designing system-on-chip solutions for mobile devices and IoT applications, facing rising customer demand for advanced AI capabilities that run directly on handheld devices without internet connectivity. Customers wanted real-time features like translation and multimodal assistance with minimal latency and high accuracy — an experience MediaTek needed to deliver to maintain its competitive edge in the smartphone market.
Join hundreds of organizations building the future with Foundry Labs innovations. Tell us what you’re working on.
Share your story →