The Story of Beholder AI:

From Concept to Global INNOVATION

The team built a prototype model capable of predicting mineral potential using satellite imagery and legacy geological data.
First success: The model identified an overlooked area with potential for critical minerals in Eastern Europe—later confirmed as geologically promising by local experts.
Applied for initial non-dilutive grant funding from European innovation programs.

Beholder signed its first NDAs and MOUs with exploration companies and research institutions across Europe and Southeast Asia.
Built a proprietary dataset by integrating:
- Satellite multispectral and hyperspectral timescale data
- Open geological, geochemical and geophysical survey archives
- Airborne geophysics and historical drill data
Beholder received its first innovation award for digital transformation in mining at a regional innovation summit.
Began development of Beholder Core, the main AI platform, with increasing model precision validated through field results.

Early 2025: Collaborated with European hydrogen research consortia and submitted a Horizon Europe proposal for evaluating natural hydrogen using AI.
Partnered with UMGI, a mining investment group, to apply AI to kaolinite and feldspar targeting in Serbia and Bosnia.
Developed a TRL (Technology Readiness Level) 6–7 system for predictive mineral exploration, enabling scalable SaaS offerings to mid-size exploration firms.
Conducted pilot projects in Aceh (Indonesia) and Bengkulu-Lampung (Sumatra), combining AI prediction with 3D geological modeling.

Launch of the full Beholder AI Platform with:
- Automated mineral prediction dashboards
- Integration with national geological databases
- Export-ready 3D models for NI 43-101 & JORC compliance
Planned market entries: South Korea, Japan, and SEA, with emphasis on lithium, copper, and rare earth elements.
Filing international patents for AI model architecture and multi-modal data integration in mineral exploration.
Goal: Enable 10+ new discoveries per year, reduce average exploration costs by 60%, and bring AI-driven ESG-positive exploration to the mainstream.