Quminex is not selling software to manage a supply chain or optimize a factory floor. It is selling a new map, built from the ground up by algorithms that read rocks. The Sherbrooke-based startup’s bet is that the next generation of critical mineral deposits will be found not just by geologists in the field, but by machine learning models trained on terabytes of geological data. Its first customers are mining companies with vast, underexplored land packages, and the product is a set of coordinates where they should drill next.
The computational geology wedge
Mineral exploration is a high-stakes, capital-intensive process of elimination. Companies spend millions to survey land, analyze core samples, and drill test holes, often with low hit rates. Quminex’s wedge is to layer computational techniques on top of this traditional workflow. Its Quminex Discovery Platform ingests diverse geological datasets,from geophysical surveys to geochemical analyses,and applies proprietary AI models to identify patterns indicative of specific mineral systems, like volcanogenic massive sulfide (VMS) deposits that contain copper, zinc, and gold [PERPLEXITY SONAR PRO BRIEF, retrieved 2026].
The output is a ranked set of exploration targets, effectively narrowing the search field for field crews. The company’s business model is built on project-based partnerships, where it works with a mining firm to analyze their property data and deliver these targets. This positions Quminex not as a SaaS tool, but as a specialized service provider whose fee is justified by the potential to derisk multi-million dollar drilling campaigns [PERPLEXITY SONAR PRO BRIEF, retrieved 2026].
A team built at the intersection
The founding team reflects the hybrid discipline the product requires. CEO Marc Fassbender is a geoscientist whose PhD research focused on applying machine learning to VMS deposits [PERPLEXITY SONAR PRO BRIEF, retrieved 2026]. Co-founder Alan Baxter, the Chief Exploration Officer, brings a background in geology and research coordination from the same academic network [ZoomInfo, retrieved 2026]. The third co-founder, Taha Rouabah, introduces the quantum angle. He is a professor at the University of Constantine 1 in Algeria and leads the Constantine Quantum Technologies research group, with a focus on quantum information and topological quantum computing [CQTech - Constantine Quantum Technologies, retrieved 2026].
This blend of deep domain geology and advanced computation was a key factor for their early investors. The team’s affiliations with the iMAGE-CREATE research network were cited by lead investor QV Studio as a reason for backing the company [PERPLEXITY SONAR PRO BRIEF, retrieved 2026]. The table below outlines the core leadership.
| Role | Name | Key Background |
|---|---|---|
| CEO, Co-Founder | Marc Fassbender | Geoscientist; ML applied to mineral systems |
| Chief Exploration Officer, Co-Founder | Alan Baxter | Geologist; former iMAGE-CREATE research coordinator |
| Co-Founder, Scientific Advisor | Taha Rouabah | Professor of Physics; leads quantum computing research group |
Early traction and funding runway
Commercial validation, while early, is present. In October 2026, Quminex announced it had completed commercial projects with two mining organizations: Tech-X Resources Inc., a private exploration company in British Columbia, and an unnamed Canadian mid-tier mining company [Quantum Computing Report, October 2026]. These projects involved processing the companies’ existing geological data to generate new exploration targets, serving as a proof-of-concept for the platform’s field utility.
Financing has followed this technical and commercial progress. The company has raised a total of $1.5 million CAD (approximately $1.06 million USD) across its pre-seed rounds. An initial undisclosed investment in April 2025 came from quantum-focused firms QV Studio, Quantacet, and Quantonation [The Quantum Insider, April 2025]. A larger $1.5 million CAD round closed in October 2026, led by Quantacet with participation from QAI Ventures and angel investors [Quantum Computing Report, October 2026]. The capital is earmarked for further platform development and field deployments.
The technical stack and scale risks
From an infrastructure perspective, Quminex’s platform sits at a demanding intersection. The AI models require processing high-dimensional, often noisy geological data. The promised integration of quantum computing techniques,a specialty of co-founder Rouabah,adds another layer of long-term ambition, though current commercial work likely relies on classical high-performance computing clusters. The technical breakdown is a classic tradeoff: higher model complexity can uncover subtler signals, but it also demands cleaner, more standardized input data than what is often available from decades-old mine archives.
The sober assessment of what could go wrong hinges on data quality and market adoption cycles. The platform’s accuracy is intrinsically linked to the completeness and resolution of the geological data fed into it. Legacy data from older properties may be too sparse or inconsistent, limiting the model’s predictive power. Furthermore, the sales motion is not about displacing a legacy software vendor, but about convincing traditionally conservative mining executives to trust an algorithmic recommendation over seasoned geological intuition. A single high-profile missed prediction could stall adoption. The company’s path to scale depends on systematically building a track record of successful target identification, project by project.
The road from prototype to standard
The next twelve months will be about moving from promising prototype to repeatable service. Key milestones will be landing follow-on projects with existing partners and signing their first major, publicly named mining company. The team is also growing, with 13 employees reported in 2026 and job postings for roles like Junior Geoscientific Modeller indicating a build-out of the technical team [Revelio Labs, retrieved 2026]. Success won’t be measured in monthly active users, but in the number of drill holes that turn into economic mineral deposits based on its maps. For a global mining industry under pressure to find new critical mineral sources more efficiently, that’s a value proposition written in bedrock.
Sources
- [PERPLEXITY SONAR PRO BRIEF, retrieved 2026] Quminex company and product description | https://quminex.com/
- [Quantum Computing Report, October 2026] Quminex Raises $1.5M CAD Pre-Seed Round | https://quantumcomputingreport.com/quminex-raises-1-5m-cad-1-06m-usd-pre-seed-round-led-by-quantacet-and-qai-ventures-to-advance-mineral-discovery-platform/amp/
- [The Quantum Insider, April 2025] Quminex Secures Pre-Seed Investment | https://thequantuminsider.com/2025/04/16/quminex-secures-pre-seed-investment-from-qv-studio-quantacet-and-quantonation/
- [CQTech - Constantine Quantum Technologies, retrieved 2026] Taha Rouabah profile | https://cqtech.dz/
- [ZoomInfo, retrieved 2026] Alan Baxter profile | https://www.zoominfo.com/p/Taha-Rouabah/8834442056
- [Revelio Labs, retrieved 2026] Quminex headcount data
- [The Quantum Insider, October 2026] Quminex Raises CAD $1.5 Million | https://thequantuminsider.com/2026/10/14/quminex-raises-cad-1-5-million-to-advance-mineral-exploration-platform/