Metals And Mining Review
Yair Frastai, CEO and Co-FounderVerAI Discoveries, an AI-driven mineral discovery and asset management company, addresses this challenge by combining geoscientific expertise with specialized technology designed to identify geological patterns associated with concealed deposits.
Over the past year, VerAI has significantly expanded its portfolio to more than 80 mineral projects across the United States, Canada, Peru and Chile. These projects, generated through its proprietary targeting technology platform, cover copper, gold, silver, zinc, nickel and other mineral systems, with some containing more than one type of mineralization. Through this technology, it identifies hidden prospective opportunities, secures the relevant land package, and collaborates with partners to advance the resulting projects.
“Our portfolio of mineral assets is large, diverse, and it’s all been generated by our technology that can see what others cannot,” says Yair Frastai, CEO and co-founder.
Finding the Signals That Matter
VerAI’s approach rests on two hypotheses—concealed deposits exist beneath covered terrain, and deposits of the same type within similar geological settings share recognizable characteristics. Over the years, the company has studied these characteristics to build a proprietary library of mineralization patterns across different geological environments.
That focus shapes how VerAI uses geological data. Rather than assuming that more information will produce better results, it selects datasets relevant to the concealed-deposit problem and develops its AI models around the signals they may contain. As Frastai explains, surface data is mostly irrelevant to this particular task. The objective is to extract meaningful geological patterns from appropriate data, rather than simply process a larger volume of information.
By finding those patterns, VerAI is able to define specific discovery models across different geological settings. VerAI’s technology identifies locations with a high probability of hosting an economic mineral deposit, including areas where surface evidence offers no clues about what lies beneath. The significance of this technology is its ability to move from geological intelligence to asset creation. VerAI’s portfolio demonstrates the scale of opportunities the technology has generated across commodities and jurisdictions, while field testing provides further evidence of its potential.
Turning AI Targets into Opportunities
VerAI’s role extends beyond identifying prospective locations. The company takes its targeting capability a step further by securing land and holding the relevant licenses for the opportunities it identifies. It then collaborates with exploration and development groups that bring the drilling, operational and jurisdictional expertise needed to advance those projects.
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Our portfolio of mineral assets is large, diverse, and it’s all been generated by our technology that can see what others cannot.
This places VerAI in a distinct position within the exploration value chain. Rather than licensing its technology or providing exploration services, it focuses on generating value by securing mineral projects for further development with its partners.
VerAI is building a sustainable, long-term business around a diversified portfolio of projects across highly regulated mining jurisdictions. Copper is its principal focus, reflecting the company’s positive long-term outlook for the metal, while gold, silver, zinc, nickel and other minerals provide exposure to a broader range of mineral systems. That diversification gives VerAI room to pursue opportunities without relying on one commodity or jurisdiction.
Connecting Discovery with Development
Generating a target is only one part of the mining journey. VerAI’s model creates opportunities for strategic participants beyond traditional exploration companies, allowing them to bring their operational and jurisdictional expertise to projects identified through its technology. Some of these partners also invest directly in the company, extending the relationship beyond project-level collaboration. The arrangement allows it to concentrate on identifying and securing new opportunities while drawing on partners' experience in drilling and advancing mineral assets.
VerAI's model also appeals to its strategic partners who are traditionally focused downstream and are used to engaging with mineral assets at more advanced stages. They see the economic value in VerAI opening the opportunity to invest in an earlier stage and derisking these mineral projects much earlier. This is a very good indication of what the technology can provide and the conviction that VerAI has in the market.
“We are focusing on finding those deposits, and then collaborating with exploration groups to develop those assets,” says Frastai.
VerAI is now moving toward an important milestone— demonstrating the value of its technology through field results. The company has invested in testing multiple targets with partners and reports encouraging results in Canada and Chile, although it has not yet publicly disclosed details of these efforts. Frastai expects multiple discoveries to emerge in the coming months, making the results of these projects an important measure of its progress and a key milestone for its technology and business model.
Its combination of purpose-built geological discovery intelligence and secured mineral projects gives it a distinctive position in early-stage exploration—the most high-risk, high-reward part of the entire mining value chain. As results emerge from its field testing, the company will have an opportunity to demonstrate the value of its approach beyond target generation. Its specialized AI and machine learning capability, expanding project portfolio, and focus on advancing concealed-mineral opportunities support its recognition as the Top AI-Powered Mineral Project Generation Platform 2026.
Mineral Discovery Platforms Must Lead to Secured Projects
A promising mineral target beneath covered terrain can absorb substantial exploration spending before a drill confirms whether the geological interpretation holds. For mining companies building a project pipeline, the procurement challenge extends beyond finding attractive coordinates. They must decide whether a model is credible and whether its targets can become funded exploration projects. An impressive target map is of limited use when the underlying evidence cannot guide those commitments.
Concealed deposits make geological relevance especially difficult to establish. Surface indications may be absent, leaving exploration teams dependent on indirect signals and interpretations of subsurface conditions. AI systems built around the volume of available data can obscure this distinction. The data must carry information relevant to a particular deposit type in its geological setting. Otherwise, broad pattern recognition risks producing targets that appear convincing statistically but have little geological basis. Buyers should examine how a provider selects its datasets and whether its models recognize characteristics shared by comparable mineral systems rather than searching indiscriminately for correlations.
That requirement becomes harder when exploration extends across different regions. A pattern associated with one style of mineralization cannot automatically be carried into another geological environment. Providers should explain the geological settings their models cover and how target rankings change when supporting evidence is thin. Ground truth remains necessary. Prospectivity scores cannot substitute for drilling, and a portfolio of untested targets should not be confused with confirmed discoveries. Executives need a clear distinction between generated opportunities and results that can support further investment.
“VerAI Discoveries applies its proprietary AI platform to identify concealed mineral targets using geological patterns associated with specific mineralization types and settings.”
Land access determines whether technical work becomes an investable project. A target may be attractive yet unavailable under existing mineral rights, or located where permitting conditions complicate the next phase. The acquisition model should account for mineral rights and licensing obligations within the relevant jurisdiction. Commodity exposure adds another constraint. Concentration in a single metal or district may match a narrow mandate, while a broader portfolio can give exploration groups flexibility as capital priorities change. Neither approach removes the need to evaluate the quality of individual assets.
Commercial structure can shift more risk than the targeting algorithm itself. Some buyers want a software tool for their own exploration teams. Others require access to prospective ground that has already been identified and secured, with arrangements for financing and development negotiated afterward. Contract diligence should distinguish technology access from ownership of mineral rights and clarify who conducts drilling. The allocation of early spending and the route to participation in any discovery are central to the transaction.
VerAI Discoveries applies its proprietary AI platform to identify concealed mineral targets using geological patterns associated with specific mineralization types and settings. It then secures mineral licenses and builds a portfolio of projects for development with exploration partners rather than licensing its technology as a standalone service. Its portfolio exceeds 80 projects across Canada, the United States, Peru and Chile, with exposure to copper and precious metals alongside other mineral systems. Exploration groups bring drilling expertise and local execution capacity while VerAI continues generating targets. It provides access to early-stage mineral opportunities through secured ground and project partnerships. That structure is particularly relevant to developers and downstream mineral investors looking for early exposure without establishing an in-house AI targeting function.
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Company
VerAI Discoveries
Management
Yair Frastai, CEO and Co-Founder
Description
VerAI Discoveries uses AI and geoscientific expertise to identify concealed mineral deposits, generate exploration projects, and build diversified portfolios across highly regulated jurisdictions, with a focus on critical minerals including copper, gold, silver, zinc and nickel.
