Identify
Source overlooked historical and technical datasets with strategic value beyond their original use.
Strategic Data Origination & Partnerships
Yesterday’s records.
Tomorrow’s signal.
Archive Signal identifies under-monetized technical and historical datasets and connects their owners with organizations capable of creating new value from them.
Mining & geoscience first. Physical-world data beyond mining next.
1958–2026DRILL LOGS12,480 records
PROPRIETARYGEOPHYSICSsurvey archive
PHYSICALCORE + PULPSretained samples
ARCHIVE → QUALIFY → CONNECT → TRANSACT
DRILLING
•GEOCHEMISTRY
•GEOPHYSICS
•CORE IMAGERY
•REMOTE SENSING
•ENGINEERING
•FIELD OBSERVATIONS
01 / THESIS
Valuable data is often hidden in plain sight.
Across mining, energy, environmental science, infrastructure and industry, companies have spent decades creating technical information that was expensive to collect and impossible to reproduce quickly.
Much of it was assembled for a single project, decision or operating need. Modern analytical systems can give those archives a second life.
Archive Signal exists to find those archives, establish what they actually contain, and connect them with the right strategic counterparties.
02 / HOW WE WORK
Qualify
Clarify provenance, ownership, scope, structure, format and potential applications before an introduction is made.
Connect
Match asset owners with technology companies, industrial partners, researchers and strategic data buyers.
Structure
Help frame the commercial path: licensing, data access, royalties, prospect-generation, joint ventures or asset transactions.
Initial focus
Mining & geoscience
Mineral exploration has created one of the deepest reservoirs of under-monetized physical-world data: decades of observations paired with subsequent drilling and real geological outcomes.
01 Drill logs & assays
02 Core photography & physical samples
03 Geochemistry & geophysics
04 Geological mapping & GIS
05 Hyperspectral / LiDAR / remote sensing
06 Technical studies & historic interpretations
The archive was created for yesterday’s exploration problem. The buyer may be solving tomorrow’s.
For data owners
Keep the asset.
Unlock new economics.
Historical technical archives may support new revenue, royalties or strategic partnerships without selling the underlying operating business or mineral property.
Discuss your archive →For technology & data partners
Stop searching company by company.
Tell us the jurisdictions, commodities, technical disciplines, observation histories or data formats you need. We source potential archives at the company level.
Tell us what you need →03 / TRANSACTION STRUCTURES
Data licensing
Strategic access
AI / analytics partnership
Prospect generation
Royalty
Joint venture
Asset sale
Bespoke structures
04 / MARKET DEVELOPMENT
Public precedent · August 2026
Old exploration data is already becoming a new project-generation asset.
Latin Metals entered a Services, Data Use and Royalty Agreement with Geomorphic AI covering approximately 25 years of proprietary Argentine exploration data. Latin Metals retained ownership of its database while creating a structure for new targets, reciprocal royalties and success fees.
View the public announcement ↗ Industry example only. Archive Signal was not involved in this transaction.05 / BEYOND MINING
Physical-world archives exist everywhere.
ENERGYENVIRONMENTFORESTRYAGRICULTUREENGINEERINGINFRASTRUCTUREINDUSTRIALMAPPINGREMOTE SENSINGOCEANS
DREW
CLEMENT
CLEMENT
Special Situations & Strategic Opportunities
Find the overlooked asset. Find who values it differently.
Drew works independently across strategic opportunities, emerging technology and overlooked assets, with a focus on situations where a structural shift can materially change the relevance of an existing business, capability or information asset.
Archive Signal grew from that approach: identify technical history the market has largely ignored, determine where it may have new strategic value, and create the connection.
British Columbia · Canada
Start a conversation
Have an archive?
Need a dataset?
We welcome conversations with management teams, technical professionals, data and AI companies, researchers, investors and strategic partners.