Global Clean Energy, Inc. Forms AI Division to Advance Renewal, Responsiveness, and Resilience through Data-Driven Energy Decisions

Rhea-AI Summary

Global Clean Energy (OTCID: GCEI) launched an AI Division on February 2, 2026 to apply machine learning, optimization, and responsible generative AI to energy, infrastructure, and environmental decision-making.

The division will prioritize risk visibility, operations optimization, and resilience, build an internal AI and Advanced Data Science innovation center, form a cross-functional team, and pursue targeted acquisitions to accelerate deployment.

Positive

• Launched AI Division on February 2, 2026 to centralize AI efforts
• Established an internal AI and Advanced Data Science innovation center
• Defined three operational priorities: Risk visibility, Smarter operations, and Stronger resilience

Negative

• Targeted acquisitions are described as pursuits and are not reported as signed or closed

HOUSTON, Feb. 2, 2026 /PRNewswire/ -- Global Clean Energy, Inc. (OTCID: GCEI) today announced the launch of its new AI Division, a strategic expansion designed to accelerate the company's mission to turn complex data into practical decisions that improve environmental outcomes, protect communities, and strengthen long-term economic growth through innovative and responsible use of artificial intelligence.

Global Clean Energy believes that the next era of sustainability will be driven by intelligent systems that can learn, adapt, and scale impact. The new division is built around a simple idea: AI should help organizations see risk earlier, react faster, and allocate resources more intelligently than they can today. Instead of treating artificial intelligence as a buzzword, Global Clean Energy is using it as a decision engine linking data from energy systems, infrastructure, and the environment into clear, actionable signals for leaders on the ground.

The AI Division will focus on three priorities:

• Sharper Risk Visibility: Using machine learning and predictive analytics to identify emerging issues before they become crises, giving operators and policymakers more time to act.
• Smarter Operations: Applying optimization and advanced analytics to reduce waste, improve reliability, and make existing assets work harder and cleaner.
• Stronger Resilience: Providing decision support tools that help organizations adapt to change, plan for uncertainty, and recover more quickly when disruptions occur.

To deliver on this vision, Global Clean Energy is building a cross-functional team of data scientists, AI engineers, and domain experts who combine technical depth with real-world experience in energy, infrastructure, health, and public-sector operations. This team will operate an internal AI and Advanced Data Science innovation center dedicated to designing, prototyping, and scaling proprietary solutions that can be deployed across GCE's markets.

The division will also pursue targeted acquisitions of AI technologies and teams that bring proven solutions, specialized expertise, and existing customer relationships into the Global Clean Energy ecosystem, accelerating time-to-impact.

Guided by principles of transparency, governance, and human-centered design, the AI Division will use modern techniques including machine learning, optimization, and responsible generative AI to augment human judgment, not replace it. The goal is clear: surface the right signal at the right time so decision-makers can act quickly, confidently, and in alignment with environmental and economic goals.

"With the launch of our AI-Division, Global Clean Energy is positioning itself at the forefront of AI-enabled sustainability, using intelligent systems to make our infrastructure, institutions, and communities more informed, responsive, and resilient", stated Dr. Earl Azimov, CEO of Global Clean Energy, "The AI Division, reinforces the company's commitment to innovation that delivers measurable environmental, social, and economic value positioning the company at the forefront of AI-enabled sustainability."

About Global Clean Energy
Global Clean Energy drives the transition to sustainable infrastructure through innovative AI, energy solutions, and resilience technologies.

Statements in this release may be regarded, in certain instances, as "forward-looking statements" pursuant to certain sections of the Securities Act 1933 and the Securities Exchange Act 1934, respectively. "Forward-looking statements" are based on expectations, estimates and projections at the time the statements are made, and involve risks and uncertainties, which could cause actual results or events to differ materially from those currently anticipated, including, but not limited to delays, difficulties, changed strategies, or unanticipated factors or circumstances affecting Global Clean Energy Inc. and its business. There can be no assurance that such forward-looking statements will ever prove to be accurate, and readers should not place undue reliance on any such forward-looking statements contained herein. Global Clean Energy Inc. will not republish revised forward-looking statements to reflect events or circumstances after the date hereof to reflect the occurrence of unanticipated events. 

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SOURCE Global Clean Energy Inc.

FAQ

What did Global Clean Energy (GCEI) announce on February 2, 2026 about AI?

Global Clean Energy announced the formation of a new AI Division to apply machine learning and responsible AI across energy operations. According to the company, the division will build an internal innovation center, hire data scientists, and pursue targeted AI acquisitions to scale solutions.

How will the GCEI AI Division improve operational reliability and waste reduction?

The AI Division will apply optimization and advanced analytics to improve reliability and reduce waste across assets. According to the company, models and analytics aim to make existing infrastructure operate more efficiently and produce clearer operational signals for frontline operators.

What are the three priorities of Global Clean Energy's (GCEI) new AI Division?

The division focuses on sharper risk visibility, smarter operations, and stronger resilience to support decision-making. According to the company, these priorities guide development of predictive analytics, optimization tools, and resilience-focused decision support systems.

Will Global Clean Energy (GCEI) acquire AI technologies or teams as part of the plan?

Yes, the company said it will pursue targeted acquisitions of AI technologies and teams to accelerate time-to-impact. According to the company, acquisitions are intended to bring proven solutions, specialized expertise, and existing customer relationships into the ecosystem.

How will Global Clean Energy (GCEI) ensure responsible use of AI in its new division?

The company intends to follow principles of transparency, governance, and human-centered design in AI deployment. According to the company, responsible generative AI and governance frameworks will augment human judgment rather than replace it.