VRIFY secures $12.5M Series B to accelerate AI-powered mineral exploration

The global race for critical minerals is intensifying, driven by the rapid expansion of renewable energy, electric vehicles, and advanced technology manufacturing. In response, mining and exploration companies are increasingly turning to artificial intelligence to transform how new mineral deposits are discovered. One of the companies leading this shift is VRIFY, which recently secured $12.5 million in Series B funding to accelerate the development of its AI-powered mineral exploration platform, according to a press release from VRIFY.

The funding round signals growing investor confidence in AI-driven exploration technologies that promise to reduce costs, increase discovery rates, and address the looming shortage of critical minerals needed for the global energy transition.

This investment also highlights how digital innovation is reshaping one of the world’s oldest industries—mining.

The growing demand for smarter mineral exploration

Mineral exploration has traditionally been a slow, expensive, and uncertain process. Companies spend millions of dollars analyzing geological data, drilling test holes, and evaluating potential mineral deposits, often with limited success.

At the same time, the demand for metals such as copper, lithium, nickel, and rare earth elements is skyrocketing due to the transition to clean energy technologies and electrification.

According to industry experts, new discoveries have declined significantly over the past two decades despite increasing exploration budgets. This challenge has created a major opportunity for technology platforms capable of identifying mineral deposits faster and more accurately.

This is where AI-powered solutions like VRIFY’s platform come into play.

Tech venture capital: inside VRIFY’s $12.5 million Series B funding round

The Vancouver-based mining technology company raised CAD $12.5 million in Series B financing to expand the capabilities and adoption of its AI-assisted mineral discovery platform. The funding round was led by the venture capital firm LGVP, with continued participation from investors including RCF Innovation and Beedie Capital.

With this latest investment, VRIFY’s total funding has surpassed $30 million, reflecting strong investor interest in technologies that modernize exploration workflows.

The capital will primarily be used to:

1. Expand the company’s AI capabilities
2. Accelerate adoption of its discovery platform
3. Scale engineering and data science teams
4. Support global partnerships with mining companies

The funding also demonstrates that tech venture capital is increasingly flowing into mining technology startups, a sector that historically lagged behind industries like fintech and SaaS in terms of digital innovation.

What is VRIFY’s AI mineral discovery platform?

At the center of VRIFY’s strategy is DORA, the company’s flagship platform designed to transform how geologists analyze exploration data.

DORA is described as the world’s first AI-assisted mineral discovery platform, built to help geologists and exploration teams identify potential deposits using advanced machine learning models.

Instead of relying solely on manual interpretation of geological datasets, DORA integrates multiple sources of information including:

1. Geological maps
2. Geophysical surveys
3. Historical drilling data
4. Geochemical samples
5. Satellite imagery

Using proprietary algorithms and deep-learning models, the platform processes these massive datasets to identify patterns that may indicate hidden mineral deposits.

The result is a system capable of reducing exploration timelines from months to minutes, allowing teams to focus their efforts on the most promising targets.

AI as a “Copilot” for geologists

One of the key design philosophies behind VRIFY’s platform is that AI should enhance human expertise rather than replace it.

The platform acts as a decision-support system, providing geologists with clear explanations and insights derived from data analysis.

This approach addresses a common concern about AI systems in scientific fields: the so-called “black box” problem. Instead of simply generating predictions, the platform offers transparent geoscientific explanations that help experts understand why a particular location may contain mineralization.

In practice, this allows exploration teams to:

1. Test multiple geological hypotheses
2. Rank exploration targets based on probability
3. Reduce bias in decision-making
4. Optimize drilling strategies

The result is a more efficient and scientifically rigorous exploration process.

Early results and industry adoption

Since its early beta launch, VRIFY’s technology has already been adopted by several mining and exploration companies.

More than two dozen early adopter clients have partnered with the company to test the platform and incorporate AI into their exploration workflows.

These collaborations have already produced promising results. In one case, the platform helped identify a high-grade gold target that was later confirmed through exploration drilling, demonstrating the real-world value of AI-assisted discovery.

Today, VRIFY works with nearly 200 mining companies across more than 70 countries, helping them analyze exploration data and communicate project insights to investors.

The strategic importance of critical minerals

The timing of VRIFY’s funding is particularly significant given the growing global focus on critical mineral supply chains.

Governments around the world—including those in North America, Europe, and Asia—are racing to secure supplies of metals required for clean energy technologies.

These minerals are essential for:

1. Electric vehicle batteries
2. Renewable energy infrastructure
3. Energy storage systems
4. Semiconductors and electronics
5. Defense and aerospace technologies

However, discovering and developing new deposits remains a major challenge.

AI-powered exploration tools could play a critical role in accelerating mineral discoveries and reducing dependence on limited global supply sources.

The intersection of mining and artificial intelligence

The mining industry has historically been slow to adopt digital technologies, but that trend is rapidly changing.

Over the past decade, the sector has begun integrating innovations such as:

1. Automation and robotics
2. Remote sensing technologies
3. Big data analytics
4. Cloud-based geological modeling
5. Artificial intelligence

AI, in particular, is emerging as a powerful tool for processing complex geological datasets that would be nearly impossible for humans to analyze manually.

By identifying hidden patterns in historical exploration data, machine learning models can reveal opportunities that traditional methods might overlook.

This shift is transforming mineral exploration into a data-driven discipline, similar to how analytics has reshaped industries like finance and healthcare.

Why investors are betting on mining tech

The success of VRIFY’s funding round also reflects a broader trend: increasing tech venture capital interest in resource technology startups.

Several factors are driving this shift:

1. The Energy Transition: The transition to renewable energy is dramatically increasing demand for critical minerals such as copper, lithium, and cobalt.

2. Declining Discovery Rates: Traditional exploration methods have struggled to keep pace with rising demand.

3. Data Availability: Decades of historical exploration data provide a rich foundation for machine learning models.

4. Technology Convergence: Advances in cloud computing, AI, and geospatial analytics are making new exploration tools possible.

Together, these factors are creating a new category of “mining tech” startups focused on improving efficiency and discovery rates.

VRIFY’s vision for the future of mineral discovery

VRIFY’s leadership believes that AI will soon become a standard component of mineral exploration workflows.

By integrating machine learning with geological expertise, the company aims to build a new category of exploration technology that helps mining companies:

1. Identify deposits faster
2. Reduce exploration costs
3. Improve investor communication
4. Increase discovery success rates

The company also plans to expand its technical team, bringing together geologists, geophysicists, and data scientists to continue refining the platform.

As the mining sector continues its digital transformation, AI-driven platforms like VRIFY’s could fundamentally change how new mineral resources are discovered.

A new era for exploration technology

The $12.5 million Series B funding round marks an important milestone not only for VRIFY but also for the broader mining technology ecosystem.

Artificial intelligence is increasingly becoming a critical tool for addressing the challenges facing global mineral supply chains.

By combining advanced machine learning with deep geological expertise, VRIFY is helping usher in a new era of data-driven mineral exploration—one that could accelerate the discovery of the resources needed to power the global economy.

As demand for critical minerals continues to rise, the role of AI in exploration is likely to expand dramatically, reshaping an industry that has remained largely unchanged for decades.

For investors, technology developers, and mining companies alike, the message is clear: the future of mineral discovery will be powered by data. As artificial intelligence continues transforming industries, platforms like VRIFY are positioning themselves at the forefront of the future of mineral discovery.