Ahya files two US patents in the field of applied artificial intelligence (AI) for climate adaptation

Riyadh, Saudi Arabia — May 17, 2026 — Ahya Technologies (Ahya), a leading sustainability innovation company from the Middle East, has successfully filed two patent applications at the United States Patent & Trademark Office (USPTO) in the fields of applied artificial intelligence (AI) for climate adaptation and greenhouse gas (GHG) emissions management.

As per the official fillings, the patents cover two AhyaAI systems focused on automation and overcoming data limitations for effective emissions measurement  including a “System and Method for Extracting and Structuring Data for Improved Emissions Calculations”, designed to extract, structure, and process emissions-related information from fragmented and un-structured records. The second patent relates to a “System and Method for Determining Emissions and EFs for Industrial Activities”, an AI system focused on improving how industrial and operational activities are identified and mapped to emissions sources aligned with the GHG Protocol and Intergovernmental Panel on Climate Change (IPCC) guidelines. Together, both inventions form part of AhyaAI, Ahya’s proprietary climate-intelligence layer focused on prediction, automation and decision-support.

The patent filings mark a significant milestone, following Ahya’s continued investment and development of proprietary climate intelligence capabilities, with recent recognitions including Deloitte Middle East Fast 50 and UN-ITU, AI for Good awards. As highlighted by the World Economic Forum, digital innovation and data-driven systems are expected to play a critical role in enabling climate resilience and sustainability transformation globally. Through AhyaAI, Ahya continues to build localized net-zero data infrastructure and sustainable AI models designed to improve accessibility and accuracy of effective emissions management for organizations from the Global South, leveraging its technology stack benefits as an Nvidia Inception company.

System and Method for Extracting and Structuring Data for Improved Emissions Calculations

Organizations across the Middle East, North Africa & Pakistan (MENAP) and other emerging markets continue to face major operational barriers in measuring GHG emissions due to fragmented and largely non-digital activity data; spread across utility bills, invoices, receipts, supplier documents, and handwritten records. According to a Boston Consulting Group (BCG) study on corporate climate measurement, only 10 percent (%) of companies measured their emissions comprehensively in 2022, underscoring the persistent challenges associated with emissions-data accessibility, quality, and standardization. Firm-level digitization is also incomplete, as evidence from 82 developing economies shows adoption of basic digital business tools is far from universal and closely tied to connectivity constraints particularly  in least-developed countries (“LDCs”).

Accurate emissions accounting requires complete, reliable, and auditable activity data in conformity with international standards such as the GHG Protocol Corporate Standard (WRI/WBCSD, 2015) and the Partnership for Carbon Accounting Financials (PCAF, 2020) methodologies. A substantial portion of this activity data originates from business records such as energy statements and supplier invoices that encode parameters necessary for emissions quantification, including energy or fuel consumption, billing duration, and associated monetary values. Manual transcription of such documents introduces latency and errors, while heterogeneity of formats impedes consistent automation.

The patented system implements a template-agnostic AI pipeline operative to transform unstructured document content into structured, machine-readable datasets. The extracted parameters are programmatically transmitted to AhyaOS, Accounting Engine, where verified emission factors (EFs) are applied to compute emissions.

System and Method for Determining EFs for Industrial Activities

Enterprises with complex operational and organizational boundaries continue to face challenges in identifying appropriate emissions sources across diverse activities, sectors, geographies, and reporting methodologies. These challenges are particularly pronounced across emerging markets and the Global South, where localized emissions-factor data remains limited or fragmented, often resulting in reliance on generalized default values.

The model is designed to address these challenges through an AI-powered proprietary retrieval system focused on improving how industrial and operational activities are identified and aligned with emissions factors in-line with GHGP and PCAF, incorporating IPCC guidelines on Tier 1, 2, and 3 methodologies. The AI system aligns with the prescribed Tier 2 and 3 methodologies by selecting EFs based on location (country and region-specific) as well as operational processes (units).

“We are excited to proceed to the next frontier of sustainability innovation. We are delighted to commercialise our first two AhyaAI products, focussed on delivering accuracy and automation across emissions measurement workflows. AhyaAI forms the back-bone of our ecosystem’s climate-intelligence capabilities. Moving forwards we anticipate multiple product launches within this segment, driven by strong regional demand from enterprises and the public sector” remarked Salaal Hasan, Chief Executive at Ahya.

By supporting improved consistency, traceability, and contextual alignment across emissions-accounting workflows, the system is intended to strengthen accuracy and operational efficiency for enterprise sustainability reporting across all emissions categories. Ahya envisions the commercialization of the patented technology across AhyaOS, Tawazun and to provide it for enablement to other companies via B2B2C use-cases for accurate, simplified and auditable emissions-accounting workflows.

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