04:17:08 EDT Sun 06 Jul 2025
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Genesis AI Corp
Symbol AIG
Shares Issued 62,943,885
Close 2025-01-06 C$ 0.07
Market Cap C$ 4,406,072
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Genesis AI talks new module for Wildfire Defence

2025-01-07 10:39 ET - News Release

Mr. Dev Randhawa reports

GENESIS UPDATES WILDFIRE AND MINING MODULES STRATEGY AND SOFTWARE

Genesis AI Corp. has developed advanced AI-driven (artificial intelligence) solutions for wildfire risk assessment and protection, geospatial analysis, forestry management (carbon tool), and a cutting-edge mineral exploration module able to improve exploration drilling target outcomes.

The company's flagship platform, Wildfire Defence Solutions, leverages AI, machine learning and data analytics to build digital models of forests and communities, helping all stakeholders make smarter, data-driven decisions in managing natural resources, structures and people's well-being against wildfire risks. Genesis offers municipalities, many businesses (including insurance companies) and first nations expertise in wildfire and risk mitigation prevention solutions with focus on analyzing data before a wildfire occurs.

In 2024, acres in Canada lost to wildfire totalled 12.5 million acres, including 2.7 million in British Columbia. In 2023, acres in Canada lost to wildfire were even higher at 40 million acres, including 7.2 million in British Columbia.

A report announced by the Canadian Association of Fire Chiefs in November, 2024 (The State of Fire and Emergency Services in Canada (2024)) found that only 18 per cent of the more than 600 fire departments surveyed said they had the financing or equipment needed to tackle fighting wildfires. One-third did not have access to adequate training or are able to fulfill mutual aid agreements to pool resources. The report also recommends a national fire administration be established to co-ordinate between and to restimulate the investment in equipment and training Canada's local fire departments.

About Wildfire Defence Solutions: Genesis announced the launch of Wildfire Defence Solutions (version 1.2) on Sept. 16, 2024. This new powerful wildfire tool version brings enhanced features aimed at helping communities manage wildfire risks more effectively and efficiently. With the integration of advanced machine learning and geospatial data, Wildfire Defence Solutions takes a pro-active approach to wildfire prevention and preparedness. This is a cutting-edge AI tool designed to help communities, towns, cities and governments estimate the costs of building wildfire-resilient infrastructures. The software offers real-time updates on wildfire risks, highlights probable fire paths and automates community wildfire protection plans (CWPPs), previously done manually every three to five years. The platform draws on historical wildfire data, land ownership information, fuel types and other geospatial data sets to deliver actionable intelligence for both public-sector and private-sector stakeholders. Genesis continues to negotiate with several businesses, communities, cities and first nations to provide leadership and programming to help mitigate wildfires.

Some of the key new features in Wildfire Defence Solutions are:

  • Weather data integration for informed decision making;
  • Enhanced visualization and analysis of treatment unit layer; users can toggle the GenAI layer on the map to identify key wildfire risk areas and take actions accordingly;
  • Improvements to the map and table visualization;
  • Project list pagination and treatment unit updates -- the project list now supports pagination, improving user experience when handling large project data sets;
  • Improved fire danger rating and fire weather index;
  • Custom domain set-up -- to provide clients with a personalized and professional interface, V1.2 allows the set-up of custom domains for a branded Web presence.

Quality improvements: In addition to the new features, this edition has addressed several usability improvements identified by both business analysts and quality assurance teams to ensure the software remains robust and user friendly.

Mineral exploration module: Genesis AI introduced GeoHarmony as a cutting-edge tool for the mining sector that focuses on the use of external and internal data to improve workflow, eliminate human error, and ultimately deliver exploration and development drilling targets. Globally, there are over one million mining companies, with the top 50 having a combined market capitalization of $1.5-trillion. Many of these companies will benefit from converting their legacy data into actionable intelligence that is organized, clean and searchable.

Genesis is using proprietary AI and machine learning tools to unlock literal billions of dollars of value from legacy data sets, including historic PDF report documents, maps and logs that are virtually unusable today. GeoHarmony acts as a dashboard to access all of this information, making it searchable by metadata, map or polygon and exporting these links for further use in other platforms.

The database and dashboard then form the backbone of targeting models, using both the client and other relevant sources of data to narrow where exploration capital could be most efficiently deployed. The prospectivity mapping tool uses a variety of advanced data science processes, including SMOTE-GAN, PU, and convolutional neural networks, and uses random forest classifier to train, tune hyperparameters and evaluate for performance. Relational and triangulation factors are also applied in model development to refine the precision of geospatial modelling.

Genesis leverages accepted scientific research to guide model development for gold, silver, copper and uranium exploration. This module will help explorers be more precise in targeting specific drilling targets (using pattern recognition and relational modelling) and identifies areas of interest while maintaining data privacy, ultimately revolutionizing decision making in exploration.

Carbon module: Genesis introduced TrueForest in April, 2024, which is a groundbreaking forestry module designed to leverage AI and machine learning for comprehensive forest inventory. This innovation aims to address industry challenges, eliminate inaccuracies and provide advanced user tools -- all at a fraction of the cost. TrueForest utilizes AI and machine learning to create meticulous forest inventories. It will combine remote sensing, conventional data sets and fieldwork to establish highly accurate forest modules, reducing reliance on outdated data and historical assumptions.

Dev Randhawa, chief executive officer, commented: "Our team's data science expertise, sourcing data from satellites and drones, plus providing updated modules and software, will enable real-time planning and evaluation for any party addressing wildfire risk, making it a critical tool in mitigating the financial, people and environmental costs associated with wildfire disasters. I think we'd all agree the cost from wildfires in Canada has been high as viewed on any front, with one of Canada's crown jewels, the town of Jasper, Alta., having $880-million in insured losses from wildfire in 2024 and with too many people losing their homes, irreplaceable personal items and businesses; then there's the Nova Scotia and B.C. wildfires of 2023 with insured losses of $885-million and $6.2-billion in losses from the Fort McMurray, Alta., wildfire of 2016, as all quoted by the Insurance Bureau of Canada (IBC).

"We at Genesis can play a role supporting Canada's fire chiefs and others' efforts to save structures, the environment and lives. We are also open to partnerships and business relationships with others in the wildfire management ecosystem to reduce risk in North America.

"For mineral exploration, Genesis's mineral exploration software will enable users to improve exploration targeting leading to improved mining outcomes."

About Genesis AI Corp.

Genesis AI is committed to developing advanced AI-driven solutions for wildfire protection and improved mineral exploration outcomes. The company's flagship platform, Wildfire Defence Solutions, leverages AI, machine learning and data analytics to build digital models of forests and communities, helping stakeholders make smarter, data-driven decisions in managing natural resources and wildfire risks.

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