Ajay Saini

Ajay Saini · Operator & business builder

I build growth engines that run without me.

Fourteen years across industrial distribution, B2B marketplaces, and PropTech. I scale businesses by rebuilding the org, the culture, and now the AI. P&Ls owned, 300-plus people led, new markets opened from zero.

the operating system · today
runs without me
live system · 8 scheduled jobs · ~10 headless runs/day · take the tour →

I'm an operator who builds, not a manager who maintains. Across four companies I've owned P&Ls, led 300-plus people across cities and countries, opened a market from zero, and made early bets on data and AI — then delivered on them in real operating environments, not slide decks. What compounds isn't me — it's the systems and leaders I leave behind.

What the engines produced

₹270M
Incremental revenue over 3 years · distribution rebuilt, 32→40%
Ingersoll Rand · 2014–16
2×
Online traffic · ML pricing & taxonomy models shipped
IndiaMART · 2018–20
1,000+
Paid subscriptions/month built
NoBroker · 2020–21
15→40%
SaaS market share in 18 months
NoBrokerHood · 2021–24
3.2×
Monetization growth in ~2 years
NoBrokerHood · 2024–26
₹2,000/mo
The AI engine behind the latest chapter — pitch adoption 30→67%, 30 net-new brand relationships
Project Kaizen · 2025–26

ACROSS IT: 300+ PEOPLE LED, INDIA + UAE.

How it's built

Three engines

Each one is designed to keep running after I step away.

01

Systemic Redesign

"Exponential growth is a byproduct of structural integrity. I find the hidden friction in the business model and re-engineer it."

Output vendor costs −40%, society payouts +50%, execution quality +50%, and a profitable new geography built from zero.

In-house execution vertical
Input: field execution was outsourced, costly, and inconsistent — so I built an in-house execution vertical instead of renting one. Output: vendor costs down 40%, society payouts up 50%, and physical-execution quality up 50%. Owning the capability beat renting it.
Dubai — 0 → profitable
Input: opened NoBrokerHood's UAE operation from a blank page — GTM strategy, a local team hired and coached, the regulatory and payment landscape navigated. Output: 0 → on track for 3-year breakeven with product-market fit found — proof I can stand up a P&L in a new geography, not just grow an existing one.
Output that scales without headcount
Input: replaced manual coordination with AI-based CRM, performance dashboards, and clear accountability structures across a 100+ person org. Output: output scaled without proportional headcount growth — the structural unlock underneath the rest of the numbers.
02

High-Performance Culture

"Leadership is measured by redundancy. I scaled a 100-plus person team by changing what I optimize for — not my output, but theirs."

Output +250% field-sales productivity and ~70% lower talent churn.

Training, recognition (RnR) & 360° scorecards
Input: the unglamorous infrastructure of a high-performing team — a structured training cadence, real recognition (RnR), redesigned incentive structures, and 360° scorecards measuring inputs, compliance, and outputs (feedback in every direction, not just down). Output: +250% field-sales productivity and ~70% lower talent churn — the people worth keeping stay.
Player-coach — close to the ground
Input: I don't lead from a dashboard. I do customer field visits, sit with the team where the work actually happens, and motivate them face to face. The habit that says the most: on the drive home, I call my city heads and vertical leads one by one and just listen — what's breaking, what's really going on in their city. Output: solutions get built from ground truth instead of boardroom assumptions, and problems reach me while they're still small — because the team knows I'm in it with them, not above it.
03

AI & Innovation

"Innovation isn't adopting tools. It's building proprietary intelligence no one else has."

Output lift-asset pitch adoption 30% → 67%, 30 net-new brand relationships, and pre-meeting briefs that called client questions 4-for-4 in documented closures — at ~₹2,000/month.

The second brain as a mission-control schematic — inputs flow into a scheduled fleet, through a human gate, into one knowledge graph, and back out as work.
The machine, mapped — 6 layers · 8 scheduled jobs · 1 human gate▶ take the tour
Project Kaizen — the AI sales engine
Input: we built our own meeting bot (cheaper than off-the-shelf, better at Indian languages), capturing every sales meeting and extracting 40+ quality metrics, then auto-generating pre-meeting briefs and post-meeting MoMs. Output: evidence — not mandates — moved lift-asset pitch adoption from 30% to 67%, and a Kaizen-driven outbound campaign opened 0 → 30 new brand relationships, at ~₹2,000/month. the full deep-dive →
The Golden Thread — one connected, compounding pipeline
Input: I linked the whole revenue motion into a single thread — master brand list → AI-personalized outbound → meetings (captured & scored) → post-meeting MoMs → proposals — and fed every closure back into the brief library as training. Output: the pipeline compounds. A win becomes the case study that wins the next room — one cold brand closed in 36 minutes, the brief having predicted 4 of 4 of its questions.
I run my own work on AI, too
Input: beyond the business, I run my own executive function — meetings, decisions, reviews — on a self-built second-brain system. Output: a leader who operates AI in production, not one who talks about it. the deep-dive → · explore it live →

Operating principles

How I think

The arc · 2012 → 2026

The growth engine

Four companies, one throughline — each a bigger version of the same job: take a business and build it so it runs without me.

THE GROWTH ENGINE · 2012 → 2026 ₹270Mincremental rev 2×online traffic 1,000+subs / month 15→40%market share 3.2×monetization Ingersoll Rand2012–16 IndiaMART2016–20 NoBroker2020–21 NoBrokerHood2021–24 · Sales NoBrokerHood2024–26 · Monetization
The chapters, briefly

2006 → 2012 · IIT-G + IIM-A
B.Tech at IIT Guwahati, MBA at IIM Ahmedabad — Sports Secretary at one, winning cricket captain at the other. Running things larger than myself, early.

2012 → 2016 · Ingersoll Rand
Industrial distribution. Rebuilt the channel and the segmentation under it — the first time I scaled a business by fixing its structure, not just working it harder.

2016 → 2020 · IndiaMART
Category management at AVP level. Shipped the first ML models for pricing and taxonomy and rebuilt seller onboarding — the data-and-AI instinct started here, well before it was fashionable.

2020 → 2021 · NoBroker
Owned tenant and buyer P&Ls, and built the operating muscle — auto-dialer, 360° scorecards — the next chapter would run on.

2021 → 2024 · NoBrokerHood · Sales
Took SaaS to market leadership across six metros, then opened the UAE from a blank page — proof I can stand up a P&L in a new geography, not just grow an existing one.

2024 → 2026 · NoBrokerHood · Monetization
Took on monetization alongside sales and replaced guesswork with Project Kaizen — proprietary AI that turns hundreds of meetings a month into real-time intelligence. Each chapter a bigger version of the same job.

Writing

Deep dive · Operating with AI

I Built a Second Brain to Run a 300-Person Business. Here's How It Actually Works.

How I stopped writing prompts and built a system that compounds — the architecture, the design choices, and the one belief it rests on.

Read the full piece →
The architecture of the second brain — a mission-control schematic of inputs, a scheduled fleet, the human gate, one knowledge graph, and the outputs.
Deep dive · Operating with AI

The ₹2,000 AI Sales Engine: How I Made a 300-Person Sales Motion Visible.

Project Kaizen — capture reality instead of asking for it, then close the loop so every meeting makes the next one better. Built on tools we already owned.

Read the full piece →
The Strategy-Execution Gap — pitch adoption 30% to 67%, pitch score 5.7 to 7.1, via an AI-generated playbook.
Field notes · LinkedIn all posts ↗

Open source

Pieces of the machine, packaged so you can clone them.

Let's talk

Ajay Saini — arms crossed, ready to talk.

Always up for a conversation with operators and builders. What I like thinking about:

AI-native operationsSelf-running orgs0 → 1 building

"My success is measured by the systems I build and the leaders I create — not by my presence in the room."