HiveMQ used to bill itself as the leader in MQTT solutions. Last February they showed me a demo of adding some AI in the form of machine learning (ML) to their products. Like most of these smaller software companies, they struggle to tell exactly what they do. Looked pretty cool.
The investors have evidently grown impatient with returns. They’ve added several key executives to the leadership team. I think a key sentence is buried at the end of the second paragraph—The team has been a part of multiple unicorn exits and financing rounds.
HiveMQ today announced the appointment of Barry Libert as Chairman and CEO to implement the company’s strategy to become the leading Industrial AI Platform. HiveMQ is building on its trusted data backbone, relied on by BMW, Eli Lilly, and other leading manufacturers, energy providers, and data centers, to become the center of intelligence and action that enables customers to win in today’s AI world.
A serial entrepreneur and board member, Libert has spent his career building and helping companies harness platforms, data, and AI to scale revenues and value creation. Having served as Board Member, Executive Chairman and CEO of Anaconda, he helped the Company achieve unicorn status, raise $150M at a $1.5B valuation and deliver $150M in ARR profitably. To accelerate execution, HiveMQ also announced the addition of Mike Weinert as Chief Revenue Officer and Tim Hall as Chief Product Officer. They join Mirko Deneke (Chief Financial Officer), Mark Herring (Chief Marketing Officer), Rachel Haines (Chief People Officer), and Siim Viidu (Chief Technology Officer), forming a leadership team with deep expertise in industrial technology, SaaS, and AI-driven business models. The team has been a part of multiple unicorn exits and financing rounds.
“HiveMQ sits at the intersection of my career’s focus—AI-native platforms, collaborative networks, and data moats that drive exponential value,” said Libert. “Industrial leaders don’t need more AI hype. Rather, they need measurable results from data they can trust and models on which they can rely.”
HiveMQ’s Industrial AI Platform will deliver even more value for customers and partners by embedding intelligence and action directly into real-time data streams to help them move from AI pilots to real production outcomes. Under Hall’s leadership, HiveMQ will accelerate product innovation while simplifying how organizations implement and scale to maximize ROI for their AI investments. Built on MQTT and designed for high performance, the platform leverages HiveMQ Pulse to structure and validate data for trustworthy, AI-ready insights and automated actions across industrial environments.
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