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We catch the big
wave early.

— before the crowd arrives.

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Every era of capitalism invents a new way to buy businesses.

LBOs exploited capital structure.

Software exploited marginal cost.

The next shift exploits idle assets
waiting for intelligence.

Introducing

IntelligenceBuyout.

Buy businesses. Add intelligence. Multiply cash flows.

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Definition

An Intelligence Buyout is the acquisition of underutilised service businesses where an intelligence compounding layer multiplies throughput and cash flows — turning them into software-margin enterprises with zero incremental capex.

The Insight

AI Is Electricity
For Businesses

The last time a general-purpose technology met an underserved sector, it created decades of compounding value. This is that moment.

Electricity made factories infinite.

How Electricity Transformed Factories — Ford Motor Company, 1913

Same building. Same people. Different brain.

AI makes expertise infinite.

How AI Is Transforming Services — From Manual to Automated Operations

The Mispricing

India's Largest Mispriced
Asset Class

Services Businesses: Healthcare · Retail · Logistics · Professional Services · Consumer

~29%

Asset Utilisation

Most capacity sits idle.

55% of GDP
$2.3T in output

Near-zero representation on the NSE outside IT and banking.

5–8×

Growth Potential

Lower penetration vs developed markets.

Ignored

By Capital Markets

Demand Explodes. Profits Don't. Yet.

How The Intelligence Buyout Works

Software economics.
Physical assets.

01
Acquire Underutilised Assets
Services businesses with real infrastructure — locations, equipment, people — already in place.

The human expert is the bottleneck.
3–5×
Entry EBITDA
02
Add the Intelligence Layer
Identify the binding constraint — conversion, scheduling, pricing, churn — and deploy AI to fix it. Every interaction generates proprietary data. The intelligence layer compounds: more data → better predictions → higher utilisation → stronger cash flows → reinvest.
20→80%
Utilisation
03
Multiply Cash Flows
The profit function flips. More customers on the same cost base. Incremental revenue becomes mostly margin. The compounding loop widens the moat with every acquisition.
4–10×
Customers

The Compounding Loop

Every transaction sharpens
the intelligence layer.

More Locations ACQUIRE & EXPAND More Data EVERY INTERACTION Better AI PREDICTIONS SHARPEN Higher Utilisation 29% → 80%+ Stronger Cash Flows ~85% INCREMENTAL EBITDA REINVEST · ACQUIRE MORE · REPEAT IBO COMPOUNDING LOOP Over time the intelligence layer compounds faster than competitors can replicate. The tools are commoditised. The data compounding loop is the moat.

The Inventors of the Intelligence Buyout

Two operators. Two capital allocators.
One structural opportunity.

AltG Founders — Poornima Vardhan and Taponeel Mukherjee

Co-Founder & Principal

Poornima Vardhan

Wharton MBA (Joseph Wharton Scholar) · LSE MSc Operational Research · St. Stephen's, Delhi

Wall Street investment banker covering global industrials, turned operator. Financial engineering rigour meets 15 years of building and restructuring operating businesses across India. India's first D2C brand. Two regional airlines. A luxury fashion restructuring. $350M in cross-border M&A advisory at UBS New York.

"Winning By Design."

Co-Founder & Principal

Taponeel Mukherjee

INSEAD MBA · LSE MSc Finance & Economics · Northwestern BA Economics

Taponeel is a renowned economist and former macro trader with over 20 years of experience in global markets. His career spans UBS and Citigroup across London, Zurich, and Tokyo. At just 24, he generated his first million during the 2008 Lehman Brothers bankruptcy. He established UBS's second-most profitable Yen short-end rates trading desk, generating $450M, and led the bank's most profitable short-end rates business, yielding over $3B.

"Find your edge."

The story is being told.

As Featured In

Electricity reorganised factories.

Cloud reorganised servers.

AI is reorganising India's service economy.

The question is simple:
Are you catching the big wave early?

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