StratumAI GTM brain

Stratum AI applies machine learning to geological and operating data so mining teams can improve resource models and production decisions.

market profile

text: Production mines must make economic decisions from incomplete geological sampling and reconcile resource plans with actual production.
text: The company reports applications spanning resource, grade control, geometallurgical and geotechnical models.

title: Mine resource geology manager
pains:
- Sparse drilling makes ore boundaries and grade estimates uncertain
- Traditional estimates can diverge from production
title: Mine general manager
pains:
- Waste movement and grade deviations erode mine economics
- Teams need proof that new models improve operational decisions
title: Brownfield exploration manager
pains:
- Drilling to characterize extensions is costly
- Models must be updated as new data arrives

text: Operators of producing hard-rock mines with existing geological and operational datasets, especially those planning brownfield expansion.
text: Mining companies with operations in North America, Latin America or Australia and material grade-control or processing decisions.

objection: Our geologists already use established estimation methods.
response: Compare a scoped model against established estimates and actual production, with geologists evaluating the results.
objection: Our data may be too sparse or inconsistent for AI.
response: Assess the existing drilling and production data with the team before committing to an operational deployment.
objection: Economic gains may not transfer to our orebody.
response: Use a mine-specific validation and reconciliation rather than assuming reported results will repeat.

name: Rocscience
why: Geotechnical analysis software overlaps with mine risk modeling.
name: Ideon Technologies
why: Subsurface intelligence company addressing mineral resource characterization.
name: Windfall Geotek
why: Uses data and AI in mineral exploration and targeting.

text: A producing mine announcing a brownfield expansion or new drilling campaign has a near-term modeling decision.
text: Persistent discrepancies between planned and actual grade or tonnage make a model comparison timely.

model: unknown

sales_led

medium

name: Daniel Mogilny
title: Founder
role: Founder
bio: I live, love, breath AI. Background in machine intelligence @ UofT. AI founder of various stripes who's done a lot of enterprise sales last 5 years.
name: Farzi Yusufali
title: Founder
role: Founder
bio: I'm a hardware engineer on paper, a quantum computing and ML engineer in practice, and a student of geology and mining. In pursuing my goal of finding elegant solutions to tough problems, I've worked in the tissue engineering, photonics, retail and telecom fields. My experiences are as straightforward as my hair.