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Kodiak Provides Exploration Plans for 2024 and New VRIFY Areas of Interest

08.05.2024  |  Newsfile

Vancouver, May 8, 2024 - Kodiak Copper Corp. (TSXV: KDK) (OTCQB: KDKCF) (FSE: 5DD1) (the "Company" or "Kodiak") today reports plans for its 2024 Exploration Program, together with new potential Areas of Interest generated by VRIFY Artificial Intelligence (AI) targeting software, on its 100% owned MPD copper-gold porphyry project in southern British Columbia.

2024 Exploration Highlights

Chris Taylor, Kodiak's Chairman said, "After a successful 2023 drill campaign that demonstrated kilometre-scale mineralization at several new targets, including mineralization right from surface and significant high-grade zones, this year, more of Kodiak's work will be dedicated to follow-up drilling of near-surface mineralization that can be used in future modeling exercises. Our geological team has also identified several new drill targets based on geochemical and geophysical prospecting, including a number of intriguing new areas of interest that have been informed by VRIFY's AI modeling."

Claudia Tornquist, President and CEO of Kodiak said, "We are looking forward to kicking off the 2024 field season and getting the boots on the ground to continue unlocking the full potential of our MPD project. The VRIFY AI software has proven a remarkable tool to support our ongoing exploration work, and its analytical power has contributed to defining the most promising targets for this year's exploration program. I have no doubt that leveraging cutting-edge AI technology at our target and data-rich MPD project will maximize the efficiency of Kodiak's exploration work, amplify our success rate and accelerate our discovery journey."



Figure 1: 2024 Target Location Map - MPD Project, Southern BC.

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Figure 2: Screenshot of VRIFY AI 3D geo-targeting model at MPD North (looking northeast) showing five new prospective areas (yellow text). VRIFY Areas of Interest occur adjacent to known mineralized zones (Epsilon , Gamma, and Zeta), or as new regions for follow-up in 2024 (Omicron and Iota). Peaks and heat map colours rank the AI models for Cu-Au mineralization. AI results associated with Cu-Au mineralization from Kodiak zones (yellow spheres) and historic zones (red spheres) have been removed from the image to highlight new VRIFY Areas of Interest.

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MPD North - Drill Targets



Figure 3: Blue Target 3D-IP cross-section at 5511100N looking north. Section shows a broad untested chargeability high from surface to 700 m depth, corroborated by copper-gold in soil and rock samples.

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MPD North - New VRIFY Areas of Interest



Figure 4: Screenshot of VRIFY AI 3D geo-targeting model at MPD South (looking south) showing four new prospective areas (yellow text). VRIFY Areas of Interest occur adjacent or along trend of known mineralized zones (Lambda, Omega and Sigma), or as new regions for follow-up in 2024 (Tau). Peaks and heat map colours rank the AI models for Cu-Au mineralization. AI results associated with Cu-Au mineralization from Kodiak zones (yellow spheres) and historic zones (red spheres) have been removed from the image to highlight new VRIFY Areas of Interest.

To view an enhanced version of this graphic, please visit:
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Drill Targets - MPD South

New VRIFY Areas of Interest - MPD South



Figure 5: Plan map showing targets and zones at MPD South. Bar graphs show downhole copper (green) and gold (red). Background is colour contour historic copper-in soil data.

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MPD is a large land package (226 square kilometres) located near several operating mines in the southern Quesnel Terrane, British Columbia's primary copper-gold producing belt. The project is located midway between the towns of Merritt and Princeton, with year-round accessibility and excellent infrastructure nearby.

Jeff Ward, P.Geo, Vice President Exploration and the Qualified Person as defined by National Instrument 43-101, has approved and verified the technical information used in the VRIFY AI mineral targeting software and information contained in this news release. The historic work referenced herein is believed to be from reliable sources using industry standards at the time, based on Kodiak's review of available documentation and select verification work. However, the Company has not independently validated all historic work, and the reader cautioned about its accuracy.

On behalf of the Board of Directors

Kodiak Copper Corp.

Claudia Tornquist
President & CEO

For further information contact:
Nancy Curry, VP Corporate Development
ncurry@kodiakcoppercorp.com
+1 (604) 646-8362

About VRIFY Artificial Intelligence

VRIFY's artificial intelligence ("AI") targeting system uses a combination of deep learning and computer vision architectures to train predictive models with data from various exploration features like drillholes, rock geochemistry, and mineral occurrences. VRIFY's system then combines data embedding with supervised predictive models to generate a prospectivity score, enabling probabilistic predictions of mineralized areas. The approach leverages complex data relationships to predict mineral exploration targets, streamlining the process of identifying viable mineral deposits. The automation of target generation will allow the trained model to be updated quickly with new data from ongoing exploration work. By using locally trained models, VRIFY will be able to deliver prediction accuracy metrics and feature importance maps, giving true insight into exploration vectors.

The VRIFY modeling is conducted by compiling the exploration data into a gridded data space. Feature engineering steps include, geophysical standard filtering such as vertical derivatives ("FVD"), tilt angle (tilt) and other Fourier filtering. Geological information from outcrops is used to generate a probabilistic lithological map and geochemical data is interpolated using a random forest regression process. The feature engineering process is validated using statistical evaluation of the products together with visual validation. All exploration features are then compiled as entry to the VRIFY targeting algorithm. Learning examples are derived from known mineralized samples established from drillholes, surface sampling, etc.

The available learning data points are separated between training and validation sets in order to train and test the algorithm. This allows VRIFY to evaluate the performance metrics associated with the predictive modeling. Together with a stochastic approach in modeling, the results can be evaluated, and an uncertainty factor can be associated to each of the AI defined targets.

About Kodiak Copper Corp.

Kodiak is focused on its 100% owned copper porphyry projects in Canada and the USA. The Company's most advanced asset is the MPD copper-gold porphyry project in the prolific Quesnel Trough in south-central British Columbia, Canada. MPD has all the hallmarks of a large, multi-centered porphyry system. Kodiak has made the Gate Zone discovery of high-grade mineralization within a wide mineralized envelope, and MPD hosts several other targets with similar discovery potential. Kodiak also holds the Mohave copper-molybdenum-silver porphyry project in Arizona, USA, near the world-class Bagdad mine. Kodiak's porphyry projects have both been historically drilled and present known mineral discoveries with the potential to hold large-scale deposits.

Kodiak's founder and Chairman is Chris Taylor who is well-known for his gold discovery success with Great Bear Resources. Kodiak is also part of Discovery Group led by John Robins, one of the most successful mining entrepreneurs in Canada.

Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

Forward-Looking Statement (Safe Harbor Statement): This press release contains forward looking statements within the meaning of applicable securities laws. The use of any of the words "anticipate", "plan", "continue", "expect", "estimate", "objective", "may", "will", "project", "should", "predict", "potential" and similar expressions are intended to identify forward looking statements. In particular, this press release contains forward looking statements concerning the Company's exploration plans. Although the Company believes that the expectations and assumptions on which the forward-looking statements are based are reasonable, undue reliance should not be placed on the forward-looking statements because the Company cannot give any assurance that they will prove correct. Since forward looking statements address future events and conditions, they involve inherent assumptions, risks and uncertainties. Actual results could differ materially from those currently anticipated due to a number of assumptions, factors and risks. These assumptions and risks include, but are not limited to, assumptions and risks associated with conditions in the equity financing markets, and assumptions and risks regarding receipt of regulatory and shareholder approvals.

Management has provided the above summary of risks and assumptions related to forward looking statements in this press release in order to provide readers with a more comprehensive perspective on the Company's future operations. The Company's actual results, performance or achievement could differ materially from those expressed in, or implied by, these forward-looking statements and, accordingly, no assurance can be given that any of the events anticipated by the forward-looking statements will transpire or occur, or if any of them do so, what benefits the Company will derive from them. These forward-looking statements are made as of the date of this press release, and, other than as required by applicable securities laws, the Company disclaims any intent or obligation to update publicly any forward-looking statements, whether as a result of new information, future events or results or otherwise.

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