ExperienceFlow Debuts Decentralized Super Intelligence, Names Dr. Mark Ring Chief of Innovations

ExperienceFlow introduced a decentralized Super Intelligence on November 4, 2026, a network of reinforcement learning agents that enterprises own and continually improve, and named Dr. Mark Ring as Chief of Innovations, PR Newswire reported. The company also launched superintelligence.experienceflow.ai, which includes the public home of its Super Intelligence Research Lab.

How the Agent Network Operates

ExperienceFlow distributes intelligence across networks of reinforcement learning agents deployed where decisions are made: the enterprise's own cloud, data centers and edge environments. Each agent learns from the consequences of its own actions, and the company's Enterprise Digital Nervous System coordinates them toward shared goals. Models, data and accumulated experience remain enterprise assets.

"Enterprises are being asked to rent their intelligence by the token and pay for it with their IP," said Giri Athuluru, co-founder and CEO of ExperienceFlow. "Every prompt sent to a centralized model is a meter running and a piece of hard-won know-how leaving the building."

The systems are built on reinforcement learning and continual learning: they act, observe the results and use that experience to learn which actions move measurable outcomes. Learning and inference continue together indefinitely rather than in a fixed inference phase after training.

Dr. Ring introduced the term "continual learning" in 1991, and his 1994 doctoral dissertation at the University of Texas at Austin set out a definition and research program for agents that develop incrementally through their own experience. As Chief of Innovations, he will work with Prof. Richard Sutton and ExperienceFlow's research and engineering teams across continual learning, reinforcement learning, memory, world models, long-horizon planning and reliable online adaptation.

"What excites me about ExperienceFlow is its clear commercial pathway for continual learning," Dr. Ring said. "Enterprises are constantly changing: their processes, data, users, constraints, customers, and goals."

ExperienceFlow's Earlier Lab and Partners

ExperienceFlow announced the launch of its Superintelligence Research Laboratory in November 2025, according to akta.pro company records, focused on experience-powered decentralized superintelligence, continual learning, generalization and model-based hierarchical planning. The same records list a December 2023 strategic partnership with Accelirate, an AI and automation service provider that helps implement and deploy ExperienceFlow's EDNS platform for enterprise customers. Nagarro and Sasken are listed as technology and consulting partners on ExperienceFlow's website.

Riemann and Trajectory Launch Local and Post-Training Tools

Riemann Computing launched a pre-release of a 13B parameter model that runs on a limited budget, aiming to enable local AI training, HackerNoon reported on November 2, 2026. Trajectory launched a self-serve platform on November 2, 2026 that lets companies train AI models on production data via user edits, Crypto Briefing reported. Bigwave Robotics launched Hyper Foundry on October 20, 2026, a Physical AI platform connecting robot data collection, model training, validation and deployment, EIN Presswire reported.

Research Agenda at superintelligence.experienceflow.ai

The research agenda is available at superintelligence.experienceflow.ai, the site ExperienceFlow launched alongside the Super Intelligence. The lab is led by Prof. Sutton, a 2024 ACM Turing Award laureate.