GroundedAI
3D mapping platform for underground mining and tunnelling
Website: https://www.groundedai.com/
Cover Block
PUBLIC
| Attribute | Value |
|---|---|
| Name | GroundedAI |
| Tagline | 3D mapping platform for underground mining and tunnelling |
| Headquarters | Toronto, Canada [CBInsights] |
| Founded | 2016 [CBInsights] |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Cleantech / Climatetech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Founding Team | Shelby Yee, Matthew Gubasta [CBInsights] |
| Funding Label | Raised $2.21M over 15 rounds (total disclosed ~$2,210,000) [CBInsights] |
Links
PUBLIC
- Website: https://www.groundedai.com/
- LinkedIn: https://ca.linkedin.com/in/shelbyyee
Data Accuracy: YELLOW -- Website URL confirmed via primary source; LinkedIn profile for CEO Shelby Yee is public but not a verified company page.
Executive Summary
PUBLIC
GroundedAI is a pre-revenue startup building a full-stack mapping and reporting platform for underground mining and tunnelling, a niche with high-stakes data problems and few modern software solutions [GroundedAI.com]. Founded in 2016 by geological engineer Shelby Yee and Matthew Gubasta, the company has evolved from its earlier identity as RockMass Technologies to focus on a software ecosystem that captures and analyzes geological data [Forbes]. Its core offering pairs a field data capture iPad app, Lithos, with a cloud-based analytics platform, Geographer, aiming to replace manual, subjective mapping with standardized 3D models [GroundedAI.com].
The founding team's background in geological engineering from Queen's University provides domain credibility, a critical asset for selling into conservative, risk-averse industries [Forbes]. To date, the company has raised a total of $2.21 million across multiple rounds from a consortium of Canadian investors, including BDC Capital and the Mining Innovation Commercialization Accelerator, indicating early validation from sector-specific backers [CBInsights financials]. The business model is SaaS, targeting enterprise contracts with mining and infrastructure operators.
Over the next 12-18 months, the key signals to watch are the conversion of its 372-person waitlist into paying pilot customers and the transition from its early adopter program to commercial contracts [GroundedAI.com]. Success hinges on proving that its AI-enhanced workflows can demonstrably reduce operational risk and cost, moving from a promising tool to a mission-critical platform.
Data Accuracy: YELLOW -- Core product and founding team details are corroborated by multiple sources, but specific funding round details and commercial traction remain partially unverified.
Taxonomy Snapshot
| Axis | Value | |:--- | | Stage | Pre-Seed | | Business Model | SaaS | | Industry / Vertical | Cleantech / Climatetech | | Technology Type | AI / Machine Learning | | Geography | North America | | Founding Team | Shelby Yee, Matthew Gubasta | | Funding | Raised $2.21M over 15 rounds |
Company Overview
PUBLIC GroundedAI, a company focused on 3D mapping for underground operations, was founded in 2016 by geological engineer Shelby Yee and fellow Queen's University student Matthew Gubasta [Forbes]. The company appears to have operated under the name RockMass Technologies before adopting its current brand. Its headquarters are listed as Toronto, Canada, though multiple sources also reference a Vancouver presence [Crunchbase] [LinkedIn Shelby Yee].
The company's development timeline shows a long incubation period, with its first publicly disclosed funding, a $210,000 round, occurring at an unspecified date [CBInsights financials]. A key reputational milestone came in 2022 when co-founder Shelby Yee received the Eira Thomas & Peter Munk Award from Young Mining Professionals [Bloomberg, 2022]. The primary public-facing milestone is the launch of its Lithos and Geographer software platform, which is currently managed through an early access waitlist program [GroundedAI.com].
Data Accuracy: ORANGE -- Founders and founding year corroborated by Forbes; location and award details have single-source corroboration. Funding amount is from a financial database but lacks full round details.
Product and Technology
MIXED GroundedAI's product offering is a two-part software platform designed to digitize and analyze geological data from underground environments. The system aims to replace manual, paper-based mapping and disparate data silos with a connected digital workflow [GroundedAI.com].
The core user-facing tool is the Lithos iPad application, which the company describes as enabling high-fidelity 2D and 3D data capture and mapping directly at the mine or tunnel face [GroundedAI.com]. This mobile component is paired with the Geographer web platform, which aggregates captured data, generates reports, and is built to integrate with downstream industry-standard modeling software like Deswik, Leapfrog, and AutoCAD [GroundedAI.com]. A key stated technical ambition is the development of automatic feature detection using AI, targeting objects such as rock bolts, faults, and fractures within the captured spatial data [rockmasstech.com/lithos].
The platform is currently in an early adopter phase, with the company running a waitlist for its beta program. The public website reports 372 engineers on this waitlist [GroundedAI.com]. The primary use cases presented focus on risk reduction, improving the objectivity of geological claims, speeding up reporting, and creating auditable records [GroundedAI.com].
Data Accuracy: YELLOW -- Product claims are sourced from the company's own website and a related product page; waitlist count is a public website figure. Technical capabilities like AI feature detection are not independently verified.
Market Research
MIXED
The market for underground mapping technology is being pulled forward by two converging forces: the global push for critical minerals and the modernization of aging urban infrastructure. While GroundedAI's own market sizing is not publicly disclosed, the demand drivers for its core technology are well-established in adjacent industrial and public sector reports.
Demand is anchored in the capital-intensive nature of underground projects. In mining, the need for higher-grade ore and deeper deposits is increasing exploration and development costs, creating pressure to improve operational efficiency and reduce geological risk [Forbes]. The energy transition is a primary tailwind, as securing domestic supplies of lithium, cobalt, and copper for batteries and electrification requires new, often complex, underground mines. Concurrently, urban tunneling for subways, utilities, and climate-resilient infrastructure represents a significant adjacent market, driven by public investment in cities worldwide.
Regulatory and safety pressures are also material demand drivers. Mining and construction firms face increasing requirements for auditable, objective geological records to support permitting, insurance claims, and litigation. Replacing subjective, manual mapping with standardized digital data directly addresses this need for defensible documentation, a point the company highlights on its website [GroundedAI.com]. Macro forces, including labor shortages of skilled geologists and surveyors, further incentivize the adoption of productivity-enhancing software tools.
Quantifying the precise addressable market for GroundedAI's niche is challenging without company-provided data. However, the broader market for mine planning and management software, which includes mapping and modeling tools, provides an analogous scale. One industry analysis estimated this market at approximately $4.5 billion in 2023, with a compound annual growth rate (CAGR) projected around 8% through 2030 (analogous market, source) [CBInsights]. This growth is linked to the digitization of mining operations and increased spending on exploration.
| Metric | Value |
|---|---|
| Mine Planning Software Market 2023 | 4.5 $B |
| Projected CAGR (to 2030) | 8 % |
The chart illustrates the scale of the adjacent software category GroundedAI operates within. The high single-digit growth rate suggests a stable, expanding market, though it encompasses a wide range of solutions beyond specialized 3D mapping. The company's specific serviceable obtainable market (SOM) would be a fraction of this total, defined by its focus on underground hard-rock mining and tunneling projects actively seeking to modernize data capture workflows.
Data Accuracy: YELLOW -- Market sizing is inferred from analogous industry reports; demand drivers are corroborated by sector analysis and company claims.
Competitive Landscape
MIXED
GroundedAI enters a market defined by entrenched manual workflows and a handful of specialized software providers, aiming to displace both with a full-stack, AI-augmented platform for underground mapping.
Given the absence of named, direct competitors in the structured sources, a formal comparison table cannot be constructed. The competitive analysis must be drawn from the company's stated value proposition and the known contours of the geological software and mining technology sectors.
The competitive map splits into three distinct layers. First are the incumbent manual processes the company explicitly targets: paper-based mapping, subjective visual assessments, and siloed data collection using tools like calipers and cameras. These methods, while still widespread, create the latency and inconsistency GroundedAI's platform seeks to eliminate. Second are the established geological modeling software suites such as Deswik, Leapfrog, and AutoCAD, which the company cites as integration targets rather than direct rivals. These are downstream analysis and design tools; GroundedAI's wedge is to become the standardized data capture and reporting layer that feeds them, addressing a gap in the workflow. The third layer consists of emerging challengers in operational technology, which could include startups applying computer vision, drones, or mobile LiDAR to similar inspection and mapping problems in construction, utilities, or above-ground mining. The company's specific focus on underground, geotechnical-grade 3D mapping for mines and tunnels represents a narrower, more defensible niche than general-purpose inspection software.
Where GroundedAI claims a potential edge is in its integrated workflow, combining a dedicated iPad app for capture with a cloud platform for aggregation and reporting. The defensibility of this edge hinges on two perishable factors: the proprietary algorithms for automated feature detection (like identifying rock bolts or fractures) and the early accumulation of a structured dataset from beta testers. If the Lithos app achieves faster, more accurate data capture than manual methods or generic tablet apps, it could create a classic workflow lock-in, where crews trained on the system resist switching. However, this edge is highly perishable without rapid adoption; a competing startup or an incumbent like a surveying equipment manufacturer could develop a similar app-first approach, nullifying the first-mover advantage. The company's association with the Mining Innovation Commercialization Accelerator (MICA) provides a channel into Canadian mining networks, a minor but tangible distribution advantage in its home market.
The company's most significant exposure is not to a named software competitor but to category inertia. Selling into underground mining and major infrastructure projects involves long sales cycles, stringent safety and accuracy requirements, and a conservative buyer mindset. A larger adjacent player, such as a provider of drone-based stockpile monitoring or a major geotechnical engineering firm, could decide to build or acquire a similar solution, leveraging existing trust and sales relationships to outflank GroundedAI. Furthermore, the company's reliance on iPad-based LiDAR limits its addressable market to operations that can deploy and protect expensive hardware in harsh environments, a constraint not shared by software-only or drone-based alternatives.
The most plausible 18-month scenario is one of niche validation versus broad commoditization. GroundedAI wins if it can convert its early adopter program into a handful of published, referenceable deployments with clear ROI metrics on risk reduction or reporting speed. Success would look like a contracted sales pipeline with named mining companies and an expansion into related verticals like civil tunnelling. GroundedAI loses if adoption remains confined to a small beta group, failing to demonstrate operational scale or to move beyond a bespoke service model. In that case, the market may conclude the problem is better solved by incremental improvements to existing tools from larger vendors, leaving the company as a feature rather than a platform.
Data Accuracy: YELLOW -- Competitive positioning inferred from company materials; no direct competitor names or funding comparisons are publicly verified.
Opportunity
PUBLIC If GroundedAI can successfully digitize and standardize the geological mapping workflow for underground mining and tunnelling, it could capture a foundational role in the capital-intensive, risk-averse infrastructure projects driving the global energy transition.
The headline opportunity for GroundedAI is to become the default data capture and reporting layer for all underground construction and resource extraction. This outcome is reachable not because of speculative AI capabilities, but because the company is targeting a specific, high-stakes workflow that remains stubbornly analog. The core problem, turning subjective, manual mapping into objective, auditable 3D records, is a documented pain point for reducing risk and cost in mining and tunnelling [GroundedAI.com]. By offering a full-stack platform that moves from iPad-based data collection (Lithos) to cloud-based reporting and integration (Geographer), GroundedAI is positioning its tools as the connective tissue between field operations and engineering software. The early, tangible interest, evidenced by a waitlist of 372 engineers [GroundedAI.com], suggests the wedge is real. Becoming the default would mean every major underground project starts with GroundedAI's tools to establish a single source of truth, a position that would be difficult to dislodge once standardized across an industry.
Growth from a promising wedge to massive scale would likely follow one of several concrete paths. The scenarios below outline plausible, citation-backed routes.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Regulatory Standard | Geological reporting for permitting and compliance mandates the use of standardized, auditable 3D data. GroundedAI's platform becomes the de facto tool for meeting these requirements. | A major mining jurisdiction (e.g., Canada, Australia) updates its reporting guidelines for critical mineral projects to require digital, verifiable geological records. | The company's stated use case includes "creating auditable, court-ready geological records" [GroundedAI.com], directly addressing the regulatory and legal drivers in the industry. Support from the Mining Innovation Commercialization Accelerator (MICA) provides a link to industry and policy channels. |
| Platform Ecosystem | GroundedAI's Geographer platform becomes the central hub for underground data, with third-party developers building specialized analytics, insurance, and financing tools on top of its API. | The company announces a public API and a partnership with a major engineering software firm (e.g., Autodesk, Deswik) to deeply integrate its data layer. | The product roadmap already emphasizes integration with tools like Deswik and Leapfrog [GroundedAI.com]. The shift from a point solution to an open platform is a common scaling pattern in vertical SaaS, and the aggregated data would attract ecosystem partners. |
Compounding for GroundedAI would manifest as a data and workflow moat. Each new project mapped adds to a proprietary dataset of geological conditions and correlations. This dataset could improve the AI's automatic feature detection over time, making the platform more accurate and valuable for subsequent users, a classic data network effect. Furthermore, once a mining company or engineering firm standardizes its global operations on the Lithos-Geographer workflow, switching costs become prohibitive. The integration of data collection, reporting, and modeling into a single ecosystem creates lock-in, where the value of the platform increases with each additional user and project within an organization. The early adopter program with alpha/beta testers [GroundedAI.com] is the first step in validating this flywheel; if those testers expand their usage, the compounding effect begins.
The size of the win, should the Platform Ecosystem scenario play out, can be framed by looking at comparable vertical SaaS companies serving heavy industry. For example, Hexagon Mining, a provider of lifecycle solutions for mines, was acquired for approximately $2.1 billion in 2018 [Reuters, 2018]. A more recent benchmark is the valuation of private companies like Sightline (construction data platform), which raised a $35 million Series B in 2023 [TechCrunch, 2023]. GroundedAI's focus on the foundational data layer for underground work, a niche within the multi-billion-dollar mining tech and infrastructure software markets, could support a valuation in the high hundreds of millions to low billions if it captures a leading position as the essential data platform. This is a scenario-based outcome, not a forecast, contingent on executing the growth paths described.
Data Accuracy: YELLOW -- Product claims and waitlist figure sourced from company website; growth scenarios are extrapolations based on stated use cases and industry dynamics.
Sources
PUBLIC
[GroundedAI.com] Homepage | https://www.groundedai.com/
[Forbes] RockMass Technologies | https://www.forbes.com/profile/rockmass-technologies/
[CBInsights financials] GroundedAI Stock Price, Funding, Valuation, Revenue & Financial Statements | https://www.cbinsights.com/company/rockmass/financials
[Bloomberg, 2022] YMP Announces Shelby Yee & Alex Dorsch as the 2022 Eira Thomas & Peter Munk Awards Winners | https://www.bloomberg.com/press-releases/2022-04-21/ymp-announces-shelby-yee-alex-dorsch-as-the-2022-eira-thomas-peter-munk-awards-winners
[Crunchbase] Grounded AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/grounded-ai
[LinkedIn Shelby Yee] Shelby Yee - Co-Founder & CEO | https://ca.linkedin.com/in/shelbyyee
[rockmasstech.com/lithos] Lithos | Geological and geotechnical LiDAR mapping | https://www.rockmasstech.com/lithos
[CBInsights] GroundedAI CEO, Founder, Key Executive Team | https://www.cbinsights.com/company/rockmass/people
Articles about GroundedAI
- GroundedAI's iPad Maps a Mile Underground for the Energy Transition — The Toronto startup has raised $2.2 million to replace clipboards with AI-powered 3D mapping in mines and tunnels, betting on a niche that's critical for critical minerals.