TieSet’s intelligence-centric platform STADLE helps you deliver your AI efficiently at scale in a real time, privacy-preserving, and secure way. We are orchestrating collective intelligence with a collaborative & continuous learning paradigm. We lead this paradigm shift by developing an authentic distributed and federated learning platform. Today, cloud-based AI and big data systems face significant challenges but aren’t equipped to meet them head-on. Data privacy has emerged as a global concern, but AI systems utilizing big data simply can’t preserve privacy while learning. Similarly, in a world where IoT and device data outpace the speed of bandwidth growth, latency in AI data processing is causing avoidable bottlenecks. TieSet has developed STADLE, a Scalable Traceable Adaptive Distributed Learning platform with a core feature of decentralized federated learning that preserves privacy while collecting and maximizing intelligence to be shared. Because intelligence is created and trained locally on edge devices to be gathered by STADLE, our platform generates high-quality intelligence without uploading data, enabling AI systems to operate and perform at scale while offline. Our message is simple. Collect, maximize and share the intelligence around the world. That is the world TieSet envisions for the next generation of technologies, for which we call the Internet of Intelligence (IoI) where intelligence is the one that is mainly exchanged over the Internet, not just raw private data. That said, AI is now transitioning from the product of big data to collective and continuous Intelligence, and can finally be productized in a variety of areas of our lives including finance, robotics, healthcare, automotive, education, public infrastructure, transportation, smart cities and energies, among a lot more others.