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We teamed up with a FemTech company on a mission to make reproductive health tracking smarter and more personal. By training deep learning models on millions of anonymized cycle logs, we helped build an app that not only predicted periods and ovulation more accurately, but also adapted over time. The app became a true companion—alerting users to irregularities and helping them better understand their own bodies.

We teamed up with a FemTech company on a mission to make reproductive health tracking smarter and more personal. By training deep learning models on millions of anonymized cycle logs, we helped build an app that not only predicted periods and ovulation more accurately, but also adapted over time. The app became a true companion—alerting users to irregularities and helping them better understand their own bodies.

We partnered with a leading auto parts manufacturer looking to improve the precision and reliability of their quality control. Together, we implemented a dual-layer AI system—combining real-time visual inspections with predictive analytics based on historical production data. The result? Fewer defects, less waste, and a smoother production line.

We partnered with a leading auto parts manufacturer looking to improve the precision and reliability of their quality control. Together, we implemented a dual-layer AI system—combining real-time visual inspections with predictive analytics based on historical production data. The result? Fewer defects, less waste, and a smoother production line.

In collaboration with a Latin American cannabis farm, we’re working to improve both animal welfare and crop quality using AI. Our system monitors livestock health using sensor data and behavior tracking—helping detect early signs of illness so farmers can act quickly. On the crop side, we use drone imagery and AI to analyze plant health, stress signals, and yield potential, enabling better decisions in the field.

In collaboration with a Latin American cannabis farm, we’re working to improve both animal welfare and crop quality using AI. Our system monitors livestock health using sensor data and behavior tracking—helping detect early signs of illness so farmers can act quickly. On the crop side, we use drone imagery and AI to analyze plant health, stress signals, and yield potential, enabling better decisions in the field.

We helped a fast-growing fintech company reach underserved customers by rethinking how creditworthiness is evaluated. Instead of relying on traditional credit history, we built an AI model that used alternative data—like spending habits, online behavior, and even social activity. The model evolved with each new interaction, making credit more accessible without increasing risk.

We helped a fast-growing fintech company reach underserved customers by rethinking how creditworthiness is evaluated. Instead of relying on traditional credit history, we built an AI model that used alternative data—like spending habits, online behavior, and even social activity. The model evolved with each new interaction, making credit more accessible without increasing risk.

We partnered with a major retail brand to make the in-store shopping experience smarter and more engaging. Using a blend of smart shelves, foot traffic tracking, and AI-powered recommendations, we helped the retailer personalize every shopper's journey—while also making operations more efficient behind the scenes.

We partnered with a major retail brand to make the in-store shopping experience smarter and more engaging. Using a blend of smart shelves, foot traffic tracking, and AI-powered recommendations, we helped the retailer personalize every shopper's journey—while also making operations more efficient behind the scenes.