About the Firm

We find what others have walked past.

Geoconnoiter is a pre-decision mineral intelligence firm. We work before exploration capital is committed — not after.

Our methodology combines systematic field reconnaissance, reinterpretation of legacy geological data, and AI-assisted spectral analysis to identify and characterize critical mineral occurrences that have been overlooked, undervalued, or misclassified. The product is a structured intelligence package designed for decision-makers: clear, documented, and defensible.

Geoconnoiter is veteran-owned. Our analyst and field workforce draws from combat arms backgrounds — personnel accustomed to systematic observation, documentation under adverse conditions, and operational discretion.

Focus Areas

Platinum Group Elements Rare Earth Elements Cobalt Nickel Copper Tailings Recharacterization Duluth Complex Precambrian Terranes

Client Sectors

Federal Agencies State Geological Surveys Junior Explorers Research Institutions Strategic Materials Programs

Capabilities

What we deliver

All engagements produce structured, documented intelligence — not informal assessments. Coordinate-level data and primary discovery documentation are released only under executed NDA.

01 Occurrence Intelligence Packages Structured multi-section intelligence briefs on discrete mineral occurrences — field data, spectral and radiometric survey, legacy literature synthesis, and economic framing. Designed for decision-makers.

02 Legacy Data Reinterpretation Systematic cross-referencing of historical survey maps, GLO records, state geological archives, and academic literature against modern LiDAR and satellite imagery to surface overlooked anomalies in known terranes.

03 Tailings Basin Recharacterization Assessment of historic processing waste for critical mineral concentration, including PGE, REE, cobalt, and nickel. Integrates bedrock geology, processing history, and current regulatory standing.

04 Field Reconnaissance & Documentation Systematic site documentation with geotagged photography, gamma spectrometry, UV fluorescence screening, and specimen collection under chain-of-custody protocols. All data archived with intact metadata.

05 AI-Assisted Mineral Classification Machine learning-aided specimen identification using multi-mode imaging — broadband, UV, cross-polarized — and spectral analysis. Validated against field-collected reference specimens.

06 Geospatial & GIS Analysis Custom analysis integrating USGS, MGS, MPCA, and NRRI public datasets with proprietary field data to model mineralization potential and prioritize target areas prior to resource commitment.

Contact

Submit an inquiry

Geoconnoiter works with a limited number of clients and partners at any given time. Use the form below to describe your interest; we respond within two business days. All initial inquiries are treated as confidential.

Email [email protected]

Location Esko, Minnesota