Mineral Ai

MineralAI revolutionizes geological exploration and autonomous navigation with breakthrough single-photo 3D reconstruction technology. Our AI-powered platform transforms any smartphone photo into detailed 3D models and mineral classifications within 60 seconds.

KEY METRICS:
• 96% mineral classification accuracy (vs 15% manual)
• 10x faster than traditional photogrammetry
• <60 seconds processing time
• 0.9% error rate (vs 2.7% industry standard)
• 8+ languages supported, expanding to 20

MineralAI The cloud API is live; enterprise integrations and SDK are in rollout. We have 1+ team members and interest from key industry partners.

Target customers: mining companies, geological survey agencies, drone service providers, autonomous vehicle OEMs, and logistics firms needing accurate 3D terrain and mineral data. The primary market is global, with urgent demand in resource-rich and post-reconstruction regions.

Geological exploration is bottlenecked by slow, manual 3D mapping and mineral classification, typically requiring many drone photos and expert intervention. This delays critical resource assessment, increases costs, and prevents rapid response for energy, reconstruction, and environmental markets.

Deploy funds for cloud scaling, rapid product development, expanding AI mineral classes, and onboarding large enterprise partners. Key decision: double down on B2B (mining, geospatial, logistics) enterprise sales in key markets.

Competing solutions: Pix4D, DroneDeploy, Agisoft Metashape (traditional photogrammetry); emerging ML vision platforms (Capturing.AI, 3DLOOK); mapping divisions at Google, Apple, and Microsoft.

Only MineralAI delivers accurate 3D reconstruction and mineral classification from a single photo, at 10x+ speed with <1% error, and privacy-first encryption. Flexible for drones and smartphones—no specialized hardware required. Proprietary depth models and rapid enterprise integration.

Revenue from per-scan licensing ($50–200/scan), enterprise subscriptions ($50K–500K/year), API usage fees ($0.10–1.00/call), and SDK/deployment licensing. COGS remains low due to cloud-based, scalable SaaS delivery, with gross margins >85%.

SaaS/API-first with direct enterprise sales, channel partnerships (drone OEMs/GIS software), and a self-serve platform for individual geologists. Metrics: ARR, monthly API calls, customer retention, and conversion from pilot to enterprise contract.

Cloud GPU scaling, enterprise/SDK feature development, international go-to-market initiatives, and R&D for deeper mineral class coverage.

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Risks: Rapid entrant from tech giants, regulatory change in data use, hardware compatibility issues, long sales cycles in mining. Mitigation: strong IP protection, modular tech, and diversified sales strategy.

Accepted to the AWS Startup Accelerator and the Critical Minerals Accelerator. Alumni of regional deep tech incubation programs and presented at PDAC/INTERGEO.

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Yes—patent pending on single-shot 3D reconstruction and mineral ML classification workflows.