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Global Clean Energy Inc. Acquires AI for Natural Disasters to Expand Disaster Prediction and Emergency Response Platform.

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(Neutral)

Global Clean Energy (OTCID:GCEI) acquired AI for Natural Disasters (AIND), adding AI tools for disaster prediction, monitoring, and response to its applied AI platform.

The deal introduces TerraVigil for predictive intelligence and ResilientIQ for operational guidance, expanding GCEI into resilience and emergency management markets. Polaris Market Research estimates the natural disaster management market at $71.51 billion in 2025, which GCEI views as a growth opportunity.

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Positive

  • Acquisition of AIND expands GCEI into disaster prediction and emergency management AI
  • Adds TerraVigil predictive intelligence platform and ResilientIQ operational guidance system
  • Supports product launches, market outreach, demonstrations, and partner development for AIND tools
  • Targets natural disaster management market estimated at $71.51 billion in 2025
  • Aligns with strategy to focus on applied AI for urgent real-world decision environments

Negative

  • None.

News Market Reaction – GCEI

+20.70%
+20.70% Session close to close

In the May 27 session, GCEI gained 20.70%, reflecting a significant positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

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Acquisition Adds Disaster Intelligence, Prediction and Operational Resilience Tools to GCEI's Growing Applied AI strategy

HOUSTON, May 27, 2026 /PRNewswire/ -- Global Clean Energy, Inc. (OTCID: GCEI) today announced the acquisition of AI for Natural Disasters ("AIND"), a company focused on artificial intelligence tools for disaster prediction, monitoring, and response.

The acquisition expands GCEI's applied AI platform into resilience and emergency management markets and adds new products designed for high-consequence, real-world decision environments.

AIND brings a focused technology portfolio led by TerraVigil™ and ResilientIQ™. TerraVigil™ is designed to support predictive intelligence and live situational awareness during natural disasters, while ResilientIQ™ is built to help emergency managers access source-cited operational guidance quickly.

"Natural disasters are increasing in frequency and severity and the underlying risk intelligence infrastructure hasn't kept pace," said Thomas Roderick PhD, CTO. "Available tools on the market are coarse, siloed, and typically static. TerraVigil is designed to be the foundational layer to predict disaster impacts using live data and known information, converting multi-source environmental and situational data into ready intelligence and predictions."

By predicting the likelihood of natural disasters within targeted local areas, communities can shift from reactive response to proactive preparedness, helping save lives, reduce damage, and lower costs.

"Knowing where and when disaster risk is elevated is only half the problem. The other half is knowing what to do about it," added Dr. Roderick. "TerraVigil, the predictive layer, and ResilientIQ, the operational knowledge layer, are domain- and purpose-built as complementary systems designed to work together across the lifecycle of natural disasters."

"Emergency managers make life-safety decisions, often under extreme time pressure," Dr. Roderick said. "Relevant and critical guidance is scattered across prior after-action reports, federal guidelines, academic research, and local plans. However, none of it is synthesized, verified, or at their fingertips. ResilientIQ is built to close this knowledge gap with domain-curated, source-cited AI designed specifically for planning and operational decision support."

The Company believes the acquisition strengthens its position in applied AI markets where speed, accuracy, and decision support can directly affect public safety, infrastructure protection, and response outcomes. Rather than pursuing broad AI claims, GCEI is building around practical use cases tied to urgent real-world needs.

The acquisition is expected to support product launches, market outreach, demonstrations, and partner development tied to the AIND platform.

Polaris Market Research estimates the Natural disaster management market at $71.51 Billion in 2025, with strong growth ahead. GCEI believes this creates a meaningful opportunity for specialized AI platforms that support preparedness, prediction, and response.

About Global Clean Energy, Inc. (GCEI)
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.

globalcleanenergy.net, flamelit.techaifornaturaldisasters.com

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/global-clean-energy-inc-acquires-ai-for-natural-disasters-to-expand-disaster-prediction-and-emergency-response-platform-302782821.html

SOURCE Global Clean Energy Inc.

FAQ

What did Global Clean Energy (OTCID:GCEI) announce about AI for Natural Disasters on May 27, 2026?

Global Clean Energy announced it acquired AI for Natural Disasters, adding AI-based disaster prediction and response tools. According to Global Clean Energy, the deal brings TerraVigil and ResilientIQ platforms into its applied AI strategy, targeting resilience and emergency management markets.

How does the AIND acquisition expand Global Clean Energy (GCEI) applied AI strategy?

The AIND acquisition extends GCEI’s applied AI platform into disaster resilience and emergency management. According to Global Clean Energy, it adds predictive intelligence, live situational awareness, and operational guidance tools built for high-consequence, real-world decision environments across the lifecycle of natural disasters.

What are TerraVigil and ResilientIQ in the Global Clean Energy (GCEI) disaster AI platform?

TerraVigil is designed for predictive intelligence and live situational awareness during natural disasters. According to Global Clean Energy, ResilientIQ provides domain-curated, source-cited operational guidance to emergency managers, with both systems intended to work together from preparedness through response.

What market opportunity does Global Clean Energy (GCEI) see after acquiring AI for Natural Disasters?

Global Clean Energy sees an opportunity in the growing natural disaster management market. According to Polaris Market Research, this market is estimated at $71.51 billion in 2025, and GCEI believes specialized AI platforms for preparedness, prediction, and response can benefit from this growth.

How could the AIND acquisition affect Global Clean Energy (GCEI) product development and outreach?

The AIND acquisition is expected to support new product launches and market outreach. According to Global Clean Energy, it should also back demonstrations and partner development tied to TerraVigil and ResilientIQ, helping position the company within disaster prediction and emergency response markets.

Why does Global Clean Energy (GCEI) emphasize applied AI in disaster management?

Global Clean Energy emphasizes applied AI to address urgent, real-world disaster challenges. According to Global Clean Energy, the focus is on speed, accuracy, and decision support for public safety, infrastructure protection, and response outcomes, rather than broad, generalized AI claims.