Emerging from stealth mode, the new venture delivers predictive intelligence solutions to maximize uptime, efficiency, and profitability for industrial processes

MNVR, Inc., a technology company focused on AI-powered optimization for industrial systems, today announced its official launch. The company develops Asset Performance Management (APM) solutions that integrate Digital Twins (virtual replicas of physical systems) with artificial intelligence and real-time data to empower operators to maximize production and efficiency, minimize downtime, and improve profitability across complex industrial assets and processes.

Industrial operators face growing pressure to deliver more with fewer resources, while relying on outdated monitoring and maintenance methods. Additionally, a widening skills gap is emerging as experienced workers leave the workforce, taking critical institutional knowledge with them. MNVR’s predictive intelligence technology addresses these challenges by providing system-specific insights that detect faults before they occur, optimize complex processes, and empower less experienced teams to perform at expert levels.

“Industrial systems are critical to powering modern infrastructure, but they remain burdened by inefficiencies, costly downtime, and a widening skills gap,” said Doug Kenik, President and CEO and founder of MNVR. “We’re setting a new standard for performance and moving operators from reactive fixes to proactive optimization, driving higher output and maximizing ROI.”

The company’s initial focus is on power generation and mining, industries where efficiency and reliability directly impact revenue, sustainability, and competitiveness.

“Demand for energy is rapidly growing, driven by unprecedented investments in power generation for AI compute and data centers,” Kenik added. “To meet this demand, power generation facilities must operate with maximum uptime and efficiency… and that is exactly what MNVR delivers.”

MNVR has already established partnerships with leading industrial companies in Wyoming, including Automation & Electronics, Energy Solutions, and DISA Technologies. These strategic collaborations enable streamlined integration of MNVR’s hardware and software and provide access to historical and real-time system data to train and validate the AI models, both of which accelerate MNVR’s ability to deliver solutions to the market.

“With the rapid advances in AI and machine learning, now is the time to bring those innovations into our systems to help customers realize higher uptime, greater efficiency, and measurable impact on their bottom line,” said Hank Tanner, President and CEO of Automation & Electronics. “With MNVR’s predictive platform embedded into our systems, we’re providing a turnkey intelligence solution that’s built, deployed, and supported in partnership from commissioning to long-term optimization.”

Mining, mineral recovery, and remediation operations are also set to benefit. “Working with MNVR, we are taking a big leap forward in how we manage complex processes like our High-Pressure Slurry Ablation technology,” said Greyson Buckingham, CEO & President of DISA Technologies. “Customers benefit from predictive insights and performance optimization that help detect problems before they become serious, reduce interruptions, and improve liberation rates.”

With these partnerships and solutions in place, MNVR is poised to redefine how industrial systems operate in an era of rising demand and increasing complexity. By bringing predictive intelligence directly into high-value processes, the company is helping operators achieve greater reliability, higher efficiency, and stronger profitability - establishing a new benchmark for performance across the industrial landscape.

For more information about MNVR, visit mnvrai.ai.

About MNVR

MNVR is dedicated to transforming how industrial systems operate through the application of Digital Twins and modern data science. Our solutions bring predictive intelligence directly into complex industrial processes, enabling operators to maximize uptime, efficiency, and output while reducing costs and risks.

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Now is the time to bring predictive intelligence into industrial systems.