Quminex

AI and quantum computing for identifying critical-mineral deposits and improving drilling-target selection.

Website: https://quminex.com/

Cover Block

Public sources

Field Value
Name Quminex
Tagline AI and quantum computing for identifying critical-mineral deposits and improving drilling-target selection.
Headquarters Sherbrooke, Canada [Quminex, retrieved 2026]
Founded 2024 [Crunchbase, retrieved 2026]
Stage Pre-Seed [Crunchbase, retrieved 2026]
Business model B2B
Industry Deeptech
Technology AI / Machine Learning
Geography North America
Growth profile Venture Scale
Founding team Co-Founders (3+) [iMAGE-CREATE, June 2025]
Funding label Pre-seed
Total disclosed ~$1,060,000 [Quantum Computing Report, October 2026]

Links

Public sources

Executive Summary

PUBLIC Quminex is a Sherbrooke, Canada-based mineral exploration software startup using AI and quantum computing to turn geological data into drilling targets, and it merits attention now because it has moved beyond concept framing into disclosed commercial projects and a newly announced pre-seed financing [Quminex, retrieved 2026] [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026]. Founded in 2024, the company emerged from an iMAGE-CREATE network of researchers and alumni, a detail cited by both iMAGE-CREATE and QV Studio in explaining early backing from quantum-focused investors [iMAGE-CREATE, June 2025] [QV Studio, December 2025] [The Quantum Insider, April 2025]. Its core offer is the Quminex Discovery Platform™, which the company presents as a system for converting complex geological inputs into exploration targets; the differentiation, to the extent public materials support it, rests on combining geoscience workflows with machine learning and quantum-computing methods rather than on a disclosed proprietary dataset or field network [Quminex, retrieved 2026] [Quantum Computing Report, October 2026].

The founding team appears technically oriented: Marc Fassbender has been described as a geoscientist with work on machine learning for mineral systems, Alan Baxter is identified publicly as Chief Exploration Officer, and Taha Rouabah is described in external profiles as a co-founder and scientific advisor with academic leadership in quantum research [iMAGE-CREATE, June 2025] [ZoomInfo, retrieved 2026] [The Quantum Insider, August 2025]. On commercialization, the cleanest public signal is that Quminex disclosed completed projects with Tech-X Resources Inc. and an unnamed Canadian mid-tier mining company, both framed as early validation in active exploration settings [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026]. Funding disclosure is somewhat messy across sources, but the most current reporting points to a CAD $1.5 million pre-seed round announced in October 2026, led by Quantacet with participation from QAI Ventures and angel investors, following earlier backing from QV Studio, Quantacet, and Quantonation [Quantum Computing Report, October 2026] [The Quantum Insider, April 2025] [ForkLog, October 2026].

The business model is B2B, centered on partnerships with mining and mineral-exploration companies, and near-term investor attention should stay on whether early project work converts into repeatable paid deployments, clearer customer disclosure, and evidence that the platform can shorten or improve target selection in a measurable way [Quminex, April 2025] [Quantum Computing Report, October 2026]. Hiring data, including 13 employees and 12 active job postings in 2026 according to Revelio Labs, suggests a company still in buildout mode rather than scaled go-to-market execution, which makes the next 12 to 18 months mostly a test of delivery, referenceability, and technical claims under commercial conditions [Revelio Labs, retrieved 2026].

Lightly corroborated -- Funding and commercial-project claims are corroborated by multiple public sources, but several team and product details rely partly on company materials or single-source profiles.

Taxonomy Snapshot

Axis Value
Stage Pre-Seed
Business Model B2B
Industry / Vertical Deeptech
Technology Type AI / Machine Learning
Geography North America
Growth Profile Venture Scale
Founding Team Co-Founders (3+)
Funding Pre-seed (total disclosed ~$1,060,000)

How the Company Got Here

PUBLIC

Quminex entered the public record in 2024 as a Sherbrooke, Quebec startup aimed at mineral exploration, with the company positioning itself around AI, machine learning, and quantum computing rather than a conventional services narrative [Crunchbase, retrieved 2026] [Quminex, retrieved 2026]. The plain-English proposition, as described on its website, is to turn complex geological data into exploration targets for critical-mineral discovery, a framing that matters because it places the company at the intersection of mining software, geoscience interpretation, and frontier compute rather than in any one of those categories alone [Quminex, retrieved 2026].

The disclosed chronology is still short, but it is readable. Crunchbase lists Quminex as founded in 2024 and based in Sherbrooke, Canada [Crunchbase, retrieved 2026]. By April 2025, the company was publicly presenting itself as part of the World Economic Forum's UpLink ecosystem and describing its mission as partnering with mining companies to uncover mineral opportunities [Quminex, April 2025].

Public milestone visibility improved in 2026, when the company website and Crunchbase profile together showed a business still early in formation but moving beyond concept-stage positioning into a defined exploration-software pitch [Quminex, retrieved 2026] [Crunchbase, retrieved 2026]. No state or corporate registry filing was included in the supplied source set, so the legal-entity detail cannot be established from the permitted sources used in this section.

Lightly corroborated -- This section relies on Crunchbase and company website materials; headquarters and founding year are corroborated across public sources, while legal-entity detail is not established in the permitted source set.

Product and Technology

MIXED

What is public today is narrower than the category pitch, but the core use case is clear. Quminex describes itself as a Sherbrooke-based startup using AI, machine learning, and quantum computing to identify critical-mineral deposits and improve drilling-target selection, with a product called the Quminex Discovery Platform that turns geological data into exploration targets for underexplored properties [Quminex, retrieved 2026] [The Quantum Insider, April 2025] [Quantum Computing Report, October 2026]. On the company website, that workflow is framed as gathering and analyzing multi-dimensional datasets, generating predictive models, and validating potential opportunities with geoscience expertise, which points to a decision-support product rather than a pure data vendor [Quminex, retrieved 2026].

The external validation is early but more concrete than the website language alone. Quantum Computing Report said Quminex completed commercial projects with Tech-X Resources Inc. and an unnamed Canadian mid-tier mining company, and that those projects involved identifying exploration targets on customer properties [Quantum Computing Report, October 2026]. The Quantum Insider separately reported the same two project references in coverage of the October 2026 financing, which supports the basic claim that the platform has moved beyond internal testing into paid field use, even if contract scope, pricing, and repeat usage are still undisclosed [The Quantum Insider, October 2026].

The underlying stack is only partly visible in public materials, so any deeper architecture read has to stay cautious. The company and sector press consistently reference AI, machine learning, and quantum computing, while the careers page surfaced a Junior Geoscientific Modeller role for someone interested in 3D spatial problems and computational geometry, which suggests a technical workflow built around geological modeling and target generation rather than a lightweight reporting layer [Quminex, retrieved 2026]. Beyond that, the public record does not establish which parts of the workflow are productionized software versus expert services, and no verified public demo in the source set clarifies model performance, integration requirements, or whether quantum methods are central to current customer output or part of the computational approach more broadly [Quantum Computing Report, October 2026] [Quminex, retrieved 2026].

Lightly corroborated -- Product positioning is corroborated by the company website and independent press, but several capability details remain company-described or only partially specified in public sources.

Where the Demand Sits

PUBLIC The market matters now because mineral exploration budgets are being pushed toward harder-to-find deposits at the same time governments and supply chains are treating critical minerals as strategic inputs rather than cyclical commodities [Quminex, retrieved 2026] [The Quantum Insider, April 2025].

Public evidence for Quminex's addressable market is still thinner than the product narrative, so the cleanest way to frame demand is through adjacent markets rather than a claimed TAM. The company is positioned against the exploration-software and exploration-services budget inside mining companies, with a stated use case of turning geological data into drilling targets on underexplored properties [Quminex, retrieved 2026] [Quantum Computing Report, October 2026]. That places it at the intersection of mining exploration, geoscience data interpretation, and decision-support software, but none of the captured sources provides a third-party TAM, SAM, or SOM figure specific to AI-led mineral targeting.

What is better supported is the demand logic. Across public descriptions from Quminex, The Quantum Insider, and Quantum Computing Report, the company is repeatedly tied to critical minerals, hidden deposit identification, and improved drilling-target selection [Quminex, retrieved 2026] [The Quantum Insider, April 2025] [Quantum Computing Report, October 2026]. In practical terms, that suggests a buyer pain point rooted in exploration efficiency: if miners can narrow where to drill, they may reduce wasted campaigns and improve odds of discovery. The fact pattern remains early, but completed commercial projects with Tech-X Resources Inc. and an unnamed Canadian mid-tier miner indicate at least some willingness to pay for this category of computational targeting in field settings [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026].

The strongest tailwinds are macro rather than company-specific. Quminex was recognized as a Uplink Top Innovator and presents its model as supporting more sustainable resource development, which aligns with a policy environment that increasingly links domestic mineral supply, energy transition inputs, and permitting scrutiny [Quminex, April 2025] [Quminex, retrieved 2026]. The investor base also gives a read on category formation: QV Studio, Quantacet, Quantonation, and later QAI Ventures all backed the company on a thesis that quantum and AI techniques may have commercial value in industrial discovery workflows, not only in lab settings [The Quantum Insider, April 2025] [QV Studio, December 2025] [Quantum Computing Report, October 2026]. That does not establish market size, but it does show the startup is surfacing in a capital stream looking for applied quantum use cases with nearer-term enterprise adoption.

Adjacent and substitute markets are easier to identify than direct market boundaries. Quminex can be read as competing for budget that might otherwise go to conventional geological consulting, internal exploration teams, legacy geoscience software, or broader mine-tech analytics platforms, depending on how much of the workflow its Discovery Platform actually covers [Quminex, retrieved 2026]. There is also a substitution question inside the technology stack itself: the public materials emphasize AI, machine learning, and quantum computing together, but the available reporting does not separate which customer outcomes depend on quantum methods versus more standard predictive modeling [The Quantum Insider, April 2025] [ForkLog, October 2026]. For investors, that distinction matters because software demand may exist even if the quantum element remains more of an enabling research layer than the core purchasing trigger.

Market frame Publicly supported reading Source basis
Core budget line Mineral exploration targeting and drilling-site selection software/services [Quminex, retrieved 2026] [Quantum Computing Report, October 2026]
Primary buyer set Mining and mineral-exploration companies [Quminex, retrieved 2026] [The Quantum Insider, April 2025]
Demand tailwind Critical-mineral discovery and resource-development efficiency [Quminex, retrieved 2026] [The Quantum Insider, April 2025]
Adjacent markets Geoscience analytics, exploration consulting, mine-tech decision support [Quminex, retrieved 2026]
Key macro overlay Strategic focus on critical minerals and sustainable resource development [Quminex, April 2025] [Quminex, retrieved 2026]

The table is narrow by design: it shows that the commercial framing is legible, while the market sizing case remains unproven in public materials. For now, the investable question is less "how large is the market on paper" and more whether exploration budgets consistently convert into software spend for target selection.

Lightly corroborated -- Section relies on company materials and trade publication coverage, with no third-party market sizing report captured in the source set.

Competitive Landscape

Market structure

MIXED Quminex is positioning itself against a broad set of alternatives rather than a clearly disclosed peer set: traditional mineral-exploration workflows, mining-company in-house geoscience teams, and a growing cluster of computational discovery tools that blend geological data with AI, while the company has not publicly named direct startup competitors in the cited materials [Quminex, retrieved 2026] [The Quantum Insider, April 2025] [Quantum Computing Report, October 2026].

That absence matters because it suggests the competitive frame is still being defined by the company and its backers, not yet by a mature market taxonomy in public reporting. On the public record, Quminex sells a mineral-targeting workflow that turns geological data into drilling targets for mining and exploration companies, with early commercial work completed for Tech-X Resources Inc. and an unnamed Canadian mid-tier miner [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026]. In practice, that puts it up against incumbent consultants and internal exploration teams first, and against better-capitalized software or compute-led entrants only as procurement cycles formalize.

The incumbent set is easier to identify than the startup set. Mining issuers and private explorers already buy interpretation, target generation, and drill-planning support through established geoscience contractors or build it internally, which means Quminex is not asking customers to start a new budget category so much as to reassign an existing one toward computational target selection [Quminex, retrieved 2026] [Quantum Computing Report, October 2026]. The adjacent substitute is therefore not another quantum company so much as a senior geologist with legacy software, proprietary field knowledge, and an exploration budget that can absorb slower iteration.

Edge and durability

MIXED The clearest edge visible today is technical positioning at the intersection of geoscience and quantum-adjacent computing, backed by investors that specialize in quantum and deeptech rather than generalist software capital [The Quantum Insider, April 2025] [QV Studio, December 2025] [iMAGE-CREATE, June 2025]. Quminex's founding narrative is rooted in iMAGE-CREATE affiliations and domain research backgrounds, which at minimum helps with credibility in a category where buyers are skeptical of generic AI claims and where geological interpretation remains highly expertise-dependent [iMAGE-CREATE, June 2025] [The Quantum Insider, August 2025].

That edge looks real but perishable. Technical talent and specialist investors can help a young company win pilots, yet they are not the same thing as durable distribution, exclusive data rights, or embedded workflow ownership. The company has disclosed completed commercial projects with two mining organizations, which is a useful early proof point, but the public record does not show a broad installed base, long-term contracts, or a proprietary data moat that would obviously block a larger software, services, or mining incumbent from offering similar target-generation capabilities [Quantum Computing Report, October 2026] [Pexonix, retrieved 2026].

Exposure points

MIXED Quminex appears most exposed where customer trust depends on field outcomes rather than model novelty. A mining company can tolerate experimental tooling in desktop interpretation, but once the product is tied to drill targeting, the benchmark becomes false positives, missed targets, and capital efficiency in the field, metrics that are not publicly disclosed here [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026]. Without named direct rivals in the source set, the sharper comparison is to in-house exploration groups that already control geological context, site access, and decision rights.

That creates a second exposure around channel ownership. Quminex's public materials support a partnership model with mining companies, but they do not show that the company owns a privileged route into major exploration budgets through enterprise software procurement, equipment distribution, or a services platform already embedded at mine sites [Quminex, April 2025] [Quminex, retrieved 2026]. If procurement remains relationship-led and conservative, incumbents with operating history in exploration services may keep an advantage even if Quminex's computational methods are directionally better.

Plausible 18-month scenario

MIXED The most plausible 18-month competitive scenario is less a winner-take-all startup contest than a sorting process between computational tools that can show repeatable field validation and those that remain technically interesting but commercially narrow. If Quminex can convert the Tech-X Resources work and the unnamed mid-tier mining project into repeat engagements or additional disclosed customers, it could emerge as a winner if buyer references begin to travel across junior and mid-tier miners [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026].

The more likely loser, if that reference loop does not form, is the category of early-stage mineral-discovery platforms whose differentiation rests mainly on advanced compute branding rather than customer-proven exploration outcomes. On the public evidence, Quminex is not in that bucket yet, because it has disclosed completed commercial projects, but it has not clearly escaped it either because the market still lacks public benchmarks on contract scale, deployment frequency, and whether its methods outperform incumbent workflows often enough to change budgeting behavior [Quantum Computing Report, October 2026] [ForkLog, October 2026].

Opportunity

PUBLIC

If Quminex can turn a still-fragmented exploration workflow into a repeatable software-and-services engine for target generation, the prize is not a niche geology tool but a decision layer that sits upstream of drilling budgets across critical-mineral exploration programs [Quminex, retrieved 2026] [Quantum Computing Report, October 2026].

The headline opportunity is straightforward: become a trusted computational targeting platform for miners that need better odds before committing capital to fieldwork. That outcome is still early, but it is not purely aspirational in the public record. Quminex was founded in 2024 in Sherbrooke, positions itself around AI and quantum computing for critical-mineral discovery, and by October 2026 had disclosed completed commercial projects with Tech-X Resources Inc. and an unnamed Canadian mid-tier mining company, both framed as validation in active field settings [iMAGE-CREATE, June 2025] [Quminex, retrieved 2026] [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026]. The financing record also matters here: the company first surfaced with backing from QV Studio, Quantacet, and Quantonation in April 2025, then announced CAD $1.5 million in pre-seed financing in October 2026 led by Quantacet with participation from QAI Ventures and angels, which suggests investors saw enough technical and commercial progress to fund continued platform development and field deployment [The Quantum Insider, April 2025] [QV Studio, December 2025] [Quantum Computing Report, October 2026].

The plausible paths to scale are narrower than the marketing language implies, but they are identifiable from the current evidence.

Scenario What happens Catalyst Why it's plausible
Precision targeting vendor of record Quminex becomes a recurring exploration partner for junior and mid-tier miners, selling target-generation work that expands from one property to multi-asset portfolios A visible repeat engagement or a second named mining customer beyond Tech-X Resources The company has already disclosed completed commercial projects with Tech-X Resources and one unnamed Canadian mid-tier miner, indicating buyers have paid for work in field settings [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026]
Critical-minerals platform layer Quminex standardizes its Discovery Platform into a software-led workflow for underexplored properties, moving from project work toward a reusable platform across critical-mineral campaigns Successful field deployment funded by the 2026 pre-seed round and proof that one deposit-type workflow can transfer across more properties Public materials consistently describe the Discovery Platform as turning geological data into exploration targets and drilling locations, with funding explicitly tied to development and field deployment [Quminex, retrieved 2026] [Quantum Computing Report, October 2026] [ForkLog, October 2026]
Quantum-native exploration brand Quminex becomes one of the few recognizable companies linking quantum computing to a practical industrial use case, helping it win capital, talent, and pilots disproportionate to its size A category-level signal such as investor follow-on, additional named customer wins, or broader industry recognition similar to its earlier Uplink visibility The cap table already includes specialist backers such as Quantacet and Quantonation, and Quminex was highlighted as a Uplink Top Innovator, which gives it more category signaling than a typical exploration software startup at this stage [The Quantum Insider, April 2025] [Quminex, April 2025] [QV Studio, December 2025]

What compounding looks like here is less a consumer-style network effect than a data-and-credibility flywheel. Each commercial project gives Quminex another test of whether its models can convert heterogeneous geological datasets into drillable targets, and if those outputs prove useful, the next sales motion should get easier because mining buyers care about evidence from comparable field settings more than abstract model claims [Quantum Computing Report, October 2026] [Pexonix, retrieved 2026]. The company also appears to be building for depth rather than breadth at the outset: its public materials emphasize critical minerals, underexplored properties, and mineral systems including VMS deposits, which is a reasonable way to improve model performance before broadening into adjacent deposit types [Quminex, retrieved 2026]. The early hiring signal is modest but directionally supportive. Revelio Labs showed 13 employees worldwide and 12 active job postings in 2026, suggesting the company was staffing against product and delivery needs rather than remaining a static research project [Revelio Labs, retrieved 2026].

The size of the win is hard to pin down from public comparables because no market-sizing source was provided in the record, and no direct public peer was named in the research. Even so, the upside case can be framed in business-model terms. If the most favorable scenario is the second one above, where Quminex evolves from project-based targeting into a software-led exploration platform with recurring use across multiple mining operators, the company could plausibly become an attractive acquisition target for a mining-technology platform, geoscience software provider, or strategic exploration services group seeking differentiated targeting IP and customer access (scenario, not a forecast) [Quantum Computing Report, October 2026] [The Quantum Insider, October 2026]. A more ambitious outcome would require proof that the platform consistently improves drilling-target selection across multiple customers and geologies. The public evidence does not establish that yet, but it does establish the first thing that matters in this category: external customers have already been willing to test the product in live exploration work [Quantum Computing Report, October 2026].

Lightly corroborated -- The section relies on a mix of company materials, sector press coverage, and one workforce data source; customer-project claims are corroborated by two public publishers, but product scope and team-growth signals are only partially independently verified.

Sources

Public sources

  1. [Quminex] Home Page - Quminex | https://quminex.com/

  2. [Crunchbase] Quminex - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/quminex

  3. [iMAGE-CREATE, June 2025] Success Story: iMAGE-CREATE Alumni Found Mineral Exploration Technology Startup Quminex | https://image-create.ca/success-story-alumni-found-start-up-quminex/

  4. [Quantum Computing Report, October 2026] Quminex Raises $1.5M CAD ($1.06M USD) Pre-Seed Round Led by Quantacet and QAI Ventures to Advance Mineral Discovery Platform | 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/

  5. [The Quantum Insider, October 2026] Quminex Raises CAD $1.5 Million to Advance Mineral Exploration Platform | https://thequantuminsider.com/2026/10/14/quminex-raises-cad-1-5-million-to-advance-mineral-exploration-platform/

  6. [QV Studio, December 2025] QV Studio News | https://www.qvstudio.com/news

  7. [The Quantum Insider, April 2025] Quminex Secures Pre-Seed Investment From QV Studio, Quantacet, and Quantonation | https://thequantuminsider.com/2025/04/16/quminex-secures-pre-seed-investment-from-qv-studio-quantacet-and-quantonation/

  8. [ZoomInfo] Contact Taha Rouabah, Email: t***@quminex.com & Phone Number | Co-Founder & Scientific Advisor at Quminex - ZoomInfo | https://www.zoominfo.com/p/Taha-Rouabah/8834442056

  9. [The Quantum Insider, August 2025] Africa's Quantum Moment: Building Research and Business Bridges at AQC 2025 | https://thequantuminsider.com/2025/08/25/africas-quantum-moment-building-research-and-business-bridges-at-aqc-2025/

  10. [Quminex, April 2025] Top Innovator in Uplink | https://quminex.com/top-innovator-in-uplink/

  11. [ForkLog, October 2026] Quminex raises CAD 1.5M pre-seed for AI mineral exploration led by Quantacet | https://forklog.com/en/quminex-raises-cad-1-5m-pre-seed-for-ai-mineral-exploration-led-by-quantacet/

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