Global Clean Energy Acquires Flamelit to Accelerate AI-Driven Resilience

Rhea-AI Summary

Global Clean Energy (OTCID: GCEI) acquired Flamelit on Feb 24, 2026 to accelerate its newly launched AI Division. The deal brings Flamelit's consulting business, $2.1 million in historical revenue, active contracts, four core employees and a bench of 10+ senior data scientists.

This adds immediate production-ready AI capability for energy, infrastructure, climate resilience and public health, positioning GCEI to scale ethical AI solutions into mission-critical applications right away.

Positive

• $2.1M historical revenue added
• Immediate operational capacity: 4 core employees plus a bench of 10+
• Active commercial contracts and production-ready AI systems acquired
• Expands GCEI AI Division into energy, infrastructure, climate resilience, and health

Negative

• Flamelit's $2.1M revenue accrued over several years indicates modest near-term revenue contribution
• Core team is small: only 4 full-time employees, implying reliance on bench consultants

News Market Reaction – GCEI

-10.58%

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-10.58% News Effect

On the day this news was published, GCEI declined 10.58%, reflecting a significant negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Strategic Acquisition Strengthens GCEI AI Division with Proven Consulting Capabilities, Immediate Revenue, and Mission-Aligned Expertise

HOUSTON, Feb. 24, 2026 /PRNewswire/ -- Global Clean Energy, Inc. (OTCID: GCEI) today announced the acquisition of Flamelit Inc., a mission-driven AI and data science firm delivering responsible, production-ready AI systems that turn complex data into actionable decisions for the public good.

This strategic transaction brings Flamelit's high-performing consultancy complete with $2.1 Million in revenue over the last few years, active contracts, operational infrastructure, and strategic partnerships directly into GCEI's newly launched AI Division. With Flamelit's four core employees and bench of 10+ senior data scientists, GCEI gains immediate capacity to scale ethical AI solutions across energy, infrastructure, climate resilience, and public health.

"Flamelit embodies the kind of practical, impact-focused AI we're building at GCEI," said Dr. Earl Azimov, CEO of Global Clean Energy. "Their track record of deploying trustworthy systems for government, utilities, and health organizations aligns perfectly with our mission to create renewable, responsive, and resilient infrastructure. This acquisition accelerates our AI Division from vision to execution, delivering value from day one."

Greg Godbout, Chief Innovation Officer, added, "Integrating Flamelit's expertise positions GCEI to lead in mission-critical applications from utilities protection to environmental health intelligence. With Tom Roderick, PhD, Chief AI Officer, we're ready to scale these solutions and drive real-world resilience."

Flamelit's portfolio includes innovations like AI algorithms detecting pressure waves in water systems to prevent pipe failures, a multimodal Pediatric Asthma Early-Warning System using NASA satellite data, and machine learning models predicting sepsis on patient arrival. The firm also offers Fractional Chief AI Officer (CAIO) services for executive AI strategy and governance.

This acquisition builds on GCEI's recent AI Division launch, positioning the company at the intersection of clean energy demand and AI innovation. According to a February 4, 2026 Vanderbilt Report the global AI in Energy Market is growing from $11.3B in 2024 to $54.83B by 2030 at a 30.2% CAGR.

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

Forward-Looking Statements
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 GCEI announce about acquiring Flamelit on Feb 24, 2026 (GCEI)?

GCEI announced the acquisition of Flamelit to accelerate its AI Division and add capabilities. According to the company, the deal brings Flamelit's consulting practice, active contracts, $2.1 million in historical revenue, four core employees and a bench of 10+ senior data scientists.

How much revenue does Flamelit bring to GCEI after the Feb 24, 2026 acquisition?

Flamelit contributed $2.1 million in revenue over recent years to GCEI's AI Division. According to the company, that revenue reflects consulting engagements and active contracts that provide an immediate commercial footprint for scaled AI services.

What capabilities does Flamelit add to GCEI's AI Division (GCEI)?

Flamelit adds production-ready AI systems and domain experience in utilities and public health. According to the company, examples include water system pressure-wave detection, pediatric asthma early-warning models, and sepsis prediction at patient arrival.

What immediate staffing and technical resources did GCEI gain from Flamelit on Feb 24, 2026?

GCEI gained a small core team plus an experienced bench to scale projects quickly. According to the company, Flamelit brings four core employees and a bench of more than 10 senior data scientists ready for deployment.