Revolveteam offers a co‑agency platform that unifies humans, machines, and AI into a collaborative team for complex industrial operations. Using open‑standard integration, it connects existing OT systems with AI analytics and autonomous machine functions while preserving human oversight, delivering real‑time performance intelligence across manufacturing, logistics, port, and agri‑tech environments.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial operations often rely on siloed human decision‑making, legacy machine controls, and isolated AI tools, which leads to fragmented workflows, reduced efficiency, and difficulty maintaining human authority while exploiting automation potential.
Solution
Revolveteam delivers a co‑agency platform that integrates humans, machines, and AI into a unified collaborative team for complex industrial environments. By employing open standards and interoperable interfaces, the platform connects existing operational technology (OT) systems with AI analytics and autonomous machine functions while preserving human oversight. The solution provides a cross‑platform runtime that synchronizes data, commands, and insights across manufacturing, warehousing, port operations, agri‑tech, and industrial automation contexts. Trusted AI modules deliver performance intelligence, enabling real‑time optimization and holistic performance monitoring. The architecture is designed for scalable deployment, allowing organizations to extend the human‑machine‑AI team as operational needs evolve.
Target Audience
Primary customers are operators and engineers in large‑scale manufacturing, warehousing and logistics, port authorities, agri‑tech firms, and industrial automation providers seeking integrated human‑machine‑AI collaboration.
Features
- Open‑standard integration layer that connects legacy OT equipment, PLCs, and SCADA systems with AI services without replacing existing infrastructure
- Real‑time performance intelligence dashboards that aggregate machine metrics, AI predictions, and human inputs for holistic operational visibility
- Human‑in‑the‑loop control interfaces that maintain authority while allowing AI‑driven recommendations and autonomous actions
- Cross‑platform runtime supporting multiple hardware and software environments across manufacturing, logistics, port, and agri‑tech domains
- Modular AI plug‑ins for predictive maintenance, process optimization, and adaptive decision support, secured with trusted AI governance controls