Transcription of The Stock Network Interview with Kincora Copper (ASX:KCC, TSXV:KCC), CEO Sam Spring
Lel Smits: Kincora Copper is advancing its New South Wales exploration strategy, announcing a partnership with AI-driven minerals prospect generator Geomorphic AI to support project reviews, targeting and real-time drilling optimisation across its portfolio. I’m joined today by President and CEO Sam Spring to discuss how AI is changing exploration, what this partnership means for Kincora’s New South Wales assets, and how it could enhance discovery success and efficiency.
Sam, welcome back to the Stock Network.
Sam Spring: Thank you for having us.
Lel Smits: Now, you’ve just engaged Geomorphic AI following initial work at Fairholme. What stood out in their analysis? And also, why are you expanding this relationship across your New South Wales projects?
Sam Spring: Yeah, and I guess Geomorphic came from a relationship of some of our advisory board who are working with them.
And they approached us and said, we’re trying to understand the capabilities of this system, would you like a review of Fairholme? And they knew that we were doing this ongoing traditional geologist review. And it’s been fascinating to compare and contrast the two. And I guess what we’ve now started to look at is, how can we, having seen the value that this can demonstrate to us, starting to be unlocked, how can we apply this across more of our projects and potentially different environment? Geomorphic AI, they’re able to do these project reviews, they’re able to do QA, QC and target refinement, but they’re also doing real-time geoscience support, geological interpretation and really optimising and refining drill holes real-time.
So, the application of this can be significantly expanded to just what we’ve just used today.
Lel Smits: Excellent. And Sam, you’re running AI-driven analysis alongside a traditional geological review. Can you outline how the two approaches compare and also what advantages you’re seeing from combining them?
Sam Spring: Well, one is certainly speed. As you’re sort of picking up, we’ve got a traditional geologist, 35 years experience, worked for a lot of the majors, a real specialist in knowing these sort of mineral systems, such as Fairholme and Trundle, where he’s doing these reviews. And what we’ve found as part of us understanding geomorphic AI’s process is comparing that review process to theirs and how do they integrate, what do they do in terms of validation of targets, QA, QC, all that level of detail.
Because one of the challenges facing our industry is when you’ve got so much data, how do you integrate it? It’s very time consuming. A lot of people aren’t very good at it. And it’s fascinating that there have been a lot of elements that have come out of this review process that we didn’t know about that was sitting in our project’s data.
Lel Smits: And Sam, geomorphic AI can support real-time data integration and drill targeting. How could this possibly influence drilling outcomes and capital efficiency across projects really like Trundle, Condouble and Cowell East?
Sam Spring: Yeah, and what we’re now looking to do is, in this static environment, look at existing reviews on our existing projects, look to apply geomorphic AI system to new project reviews in terms of new opportunities. And then also, how can we integrate this into a real-time environment with ongoing drilling?
Sam Spring: We’ve got drilling taking place at Nevattaya South. We’ve got drilling taking place at Condouble. Can we use these systems to also expediate and improve our interpretations there? Of course, the key element with any tool like this is you need to have the right human intelligence and oversight. And we think that this will certainly help us integrate the existing data sets better real-time across the portfolio.
Lel Smits: Absolutely. Well, it’s great to hear about the relationship with geomorphic AI and I look forward to seeing how it will change the future of Kincora Copper.
Sam Spring: Thank you, Lel.
Lel Smits: Thank you.
Ends