About

Two engines.
One compounding mission.

Maadin.AI is both a venture builder and an executive practice, deploying AI to acquire natural assets, while helping industry leaders build their own AI capability.

Founder

Arshad Khan

FOUNDER & PRINCIPAL · MAADIN.AI

A rare mix: technical enough to architect the system, commercial enough to close the enterprise deal. Fifteen years at that intersection, now pointed at the physical world.

15 years · software → subsurface
NLP / CV
Deep learning
LLM / agentic
Physical world
Fig. 2. Fifteen years of AI, redirected at the subsurface.
15+
YEARS AI / ML
3
COMPANIES FOUNDED
2
PUBLISHED BOOKS

Detail

LocationUnited States · Global advisory
FocusAI × natural resources
MemberSPE, unverified

Education is omitted deliberately, the two existing sites give conflicting claims and nothing is invented here. PLACEHOLDERS A1.

Why natural resources

A deliberate bet on an untouched domain.

After fifteen years in AI, the choice was to go where AI fluency is rare and the asymmetry is largest.

Critical minerals, oil & gas, water and carbon are data-rich, high-complexity and largely untouched by AI-native competitors. The registries are public and enormous; almost nobody has read them at scale.

The US Inflation Reduction Act and the EU Critical Raw Materials Act now back that bet with policy-driven demand and statutory deadlines. Maadin.AI sits at the intersection of that demand and a fifteen-year AI foundation.

Data-rich

Petabytes of public record

Registries, filings, assays

High complexity

Legal + geological + regulatory

Three literacies at once

Untouched

No AI-native competitor

An uncrowded vertical

Policy-backed

IRA & EU CRMA

Statutory demand

Fig. 4. Four conditions, one asymmetry.

Core expertise

Four groups, one operator.

AI & technology

  • AI / ML strategy
  • Deep learning & NLP
  • Generative AI & LLMs
  • Agentic systems

Enterprise & commercial

  • Enterprise architecture
  • Revenue leadership
  • Go-to-market

Natural resources

  • Natural resources AI
  • Geospatial & regulatory data

Leadership & venture

  • Startup to scale
  • Board & investor relations
  • Fractional CxO
Fig. 3. Core expertise groups.

Next step

Talk to the founder directly.

Request the seed data roomNDA required
Open the live demos3 prototypes
Work with Arshad2 slots