PROPSENSE
PRE-SEED ROUND
PROPSENSE
An AI Broker that sells new homes
AI DOES MOST OF THE WORK  ·  A HUMAN CLOSES THE SALE
PROPSENSE
03
THE TEAM
Three founders who've built at scale before.
Sreejith
Sreejith K
CEO · PRODUCT & AI
• Led AI product team at Avataar.ai, Peak XV-backed agentic-AI company selected for India's AI Mission
• Leading AI products at startups since 2019
Atul
Atul Anand
COO · BUSINESS & OPERATIONS
• IIT Kharagpur + ISB
• Built a new business at Matrimony.com from 0 → 1
Siddharth
Siddharth Pai
CTO · ENGINEERING
• Architect at WazirX, one of India's largest crypto exchanges
• Core telephony team at Exotel, India's largest cloud telephony platform, enabling 25B+ conversations a year
RERA-REGISTERED BROKERAGE
In 2026 alone, we've already sold:
₹20 Cr
in new home sales
₹50 L
commission earned
Real revenue from a human-run brokerage. Our AI broker exists to do this at 100x scale.
PROPSENSE
02
THE MARKET
₹18,000 Cr of brokerage is paid every year to sell homes in India's top 8 cities.
TOTAL RESIDENTIAL REAL ESTATE
55% PRIMARY
45% SECONDARY
PRIMARY WHERE WE PLAY
Buyer buys from a builder
New & under-construction homes. The seller is a company.
SECONDARY LATER
Buyer buys from an individual
Resale. The seller is another person.
HOW A PRIMARY SALE ACTUALLY HAPPENS
👤
Buyer
Wants the right home
enquiry
advice, site visits
PROPSENSE
Channel Partner
Markets and sells the builder's inventory
THIS IS WHERE WE SIT
site visit
2–5% commission
🏗
Builder
Owns the inventory, pays the commission
The builder pays 2–5% of the total transaction value.
That commission is our current revenue line.
PROPSENSE
03
THE SUPPLY SIDE
A fragmented channel partner market.
Of every rupee of commission builders pay, this is where it lands.
87%
tiny brokerages
87% Small, scattered brokerages
•1–2 closures a month
•5 lakh+ of them across the country
•No brand, no system, nothing that compounds
~11% Mid-size firms
•₹5 Cr – ₹500 Cr a year
•The only way they scale is hiring more people — so they stop scaling
~2% The big players
NoBrokerSquare YardsAnarock
•Hundreds of Cr a year each
•Still only ~2% of the pool between them
A ₹18,000 Cr market with no consolidator. Nobody has ever held more than a couple of percent of it.
Source: brokerage commission pool analysis ↗
PROPSENSE
03
WHY BROKERAGES STAY SMALL
Brokerages have mostly stayed small. That's how they were always built.
01
Most brokerages run on paid marketing and portal leads, so growth has to be bought — it cannot scale quickly.
02
To scale sales, the only lever is to keep hiring more sales people.
03
With 5 lakh+ brokers in the country, no brokerage has anything that sets it apart.
02
TEAM
We sold 6 new homes ourselves. Now building the scalable model to sell lakhs.
We know exactly what brokers and buyers struggle with, and what AI solves.
Sreejith K
Sreejith K
CEO
• Led PM team @ Avataar.ai (Agentic-AI)
• Computer vision product @ Akridata.ai
• SME product charter @ Exotel
Agentic AI · Product
Atul Anand
Atul Anand
COO
• Scaled B2C product 0→$4M ARR
• Full P&L ownership
• IIT KGP + ISB
0→1 · Growth · P&L
Siddharth Pai
Siddharth Pai
CTO
• Architect @ WazirX
• Voice Platform @ Exotel
• Scapic founding team
↳ later acquired by Flipkart
Architect · Voice · Infra
FROM THE TEAMS BEHIND
Avataar, Akridata, Scapic, Exotel IIT KGP, ISB, MediBuddy, Bharat Matrimony WazirX, Scapic, Exotel
PROPSENSE
THE PATTERN
Indian residential proptech has been a graveyard for venture money. The market was never the problem, the model was.
Era
What happened
Listing portals (MagicBricks, Housing)
Software scales, but capped revenue pool
Pure brokerage (PropTiger, IndiaHomes)
Doesn't scale, died or stayed small
Full-stack platforms (NoBroker, Square Yards)
Core revenue never scaled, bolted on home loans, VAS, etc.
THE TRAP
Huge revenue pools no recurring revenue
+
cyclical market
→
Only human armies could win it
→
Headcount scales linearly adds cost, not leverage
Linear growth never pays venture returns.
PROPSENSE
04
OPPORTUNITY · WHERE WE START
Builders spend $2B in 2025[1] to sell new homes, no consolidator in sight. [In India's top 8 cities alone]
PRIMARY-RESIDENTIAL BROKERAGE COMMISSION KEPT[2]
~10-13%
~87%+ kept by unorganised small brokers
Mandate + Organised players, while the largest keeps max ≈1-2% of market only
THE BROKERAGE COMMISSION FLOW
None hold inventory exclusively to sell with their own sales team. Always accessible, builder-direct or through mandate players.
Builder
Owns inventory. Pays 2-8% to whoever brings a buyer.
→
direct (most common)
→
↘
Optional: Mandate aggregator (B2B Layer)
Commission Earned: 5-8%
↳ Broker payout: 2-5%
↗
Organised Brokers
Unorganised Small Brokers
(SME/MSME/Individual Channel Partners)
Commission Kept: 2-5%
Small brokers prove the unit economics, they just can't do it at scale.
PROPSENSE
05
WHAT THE JOB IS — AND WHAT WE CHANGE
A broker works 100 buyers for a single sale. We make it two.
A BROKER TODAY
~75% digital
LEAD → SITE VISIT
Calls · WhatsApp · CRM
~25% human
SITE VISIT → SALE
visit + close
100buyers
10site visits
1sale
1% ever buy
90% lost before the site visit
1.Limited supply — 80% of brokers work with 10–15 projects.
2.Drop-off in follow-ups — 50% lost to RNRs.
→
2×
WITH THE AI BROKER
100buyers
20site visits
2sales
AI does the 75%
LEAD → SITE VISIT
on call and WhatsApp
human still closes
SITE VISIT → SALE
2% ever buy
2× more buyers reach a site visit
1.We match better — against 1,000+ projects, not 10–15.
2.We never drop the follow-up — any hour, for as long as it takes.
Same 100 buyers. Same ad spend. Twice the closures.
PROPSENSE
05
THE UNIT ECONOMICS
The same ad spend, split across more and more closures.
PER 100 LEADS
BROKER TODAY
AI BROKER
IN 12 MONTHS
AI BROKER + ORGANIC
THE FUTURE
Closures
1
2
3
Commission revenue
~₹4.75 L a closure
₹4.75 L
₹9.50 L
₹14.25 L
− Marketing
the same 100 leads
₹1.00 L
₹0.95 L
₹0.60 L
paid share
100% paid
95% paid
60% paid
− Sales & agent cost
retainer + % of commission
₹0.83 L
₹1.54 L
₹2.49 L
retainer
₹0.35 L
₹0.35 L
₹0.35 L
agent commission
₹0.48 L (10%)
₹1.19 L (12.5%)
₹2.14 L (15%)
CM2
what each 100 leads contributes
62%
₹2.93 L
74%
₹7.01 L
78%
₹11.16 L
CAC per closure
₹1,00,000
₹47,500
₹20,000
LEVER 01 — MARKETING
•Same spend, more closures — 1 → 2 → 3
•Paid share falls 100% → 95% → 60%
•CAC a closure ₹1,00,000 → ₹20,000
LEVER 02 — PEOPLE
•₹35,000 retainer never moves
•AI absorbs the calls, WhatsApp and CRM
•Agent earns more: 10% → 12.5% → 15%
A brokerage's margin collapses as it scales, because scale means headcount. Ours expands.
PROPSENSE
14
HOW WE GET HOME BUYERS
We buy our buyers today. We are building the free channel next.
Now
Paid ads — Google & Meta 90–95%
Organic — search & Instagram 5–10%
•Lead capture website set up, campaign creation and monitoring, designing creatives
•Organic today is a separate property-type portal for SEO, plus Instagram
propvison.com @sachi.homes.advisor
Next
Paid ads 75–80%
Organic 20–25%
We intend to invest in organic so more buyers arrive for free — which pulls our blended cost per acquisition down as we grow.
Video brochure
AI generated
See next video type
▶ Tap to play
70–80% of the above work is already done by AI today
PROPSENSE
05
WHY NOW
AI just became good enough, and cheap enough, to do most of a broker's job.
01 It now sounds human on a call.
2 yrs ago 800ms
today 320ms
a human 200ms
Natural tone, instant replies, even Indian languages.
02 It works for hours, not seconds.
3 yrs ago 15%
today ~75%
Multi-step tasks finished end to end. Task length has gone from ~4 min to hours.
03 And it became cheap enough to run at scale.
2 yrs ago 1×
today 280× cheaper
And ~5× cheaper than putting a human on the same call.
PROPSENSE
THE SOLUTION
We're building the world's best AI broker that does ~75% of the work (digital).
A human closes the sale.
1st Touch to Site Visit
AUTONOMOUS AI BROKER
CAPABILITY
SPEED
AUTONOMY
COVERAGE
The AI broker handles every touchpoint from first contact to scheduled site visit & further till sale.
›
Site Visit to Sale
BEST HUMAN CLOSER
A lean bench of best closers only ever works site visit-ready buyers.
We'll eventually own the complete transaction layer.
Revenue Now
Brokerage Commission
We get paid only on registered sale.
Expansion
One close unlocks 4 revenue streams
Brokerage › Loan › Legal › Interiors
Brokerage today. Loan, legal, interiors not in the funded plan.
PROPSENSE
08
THE PRODUCT
One system. The AI runs it, a human closes it.
LEADS IN
Google AdsMeta AdsSEO & GEOInsta & YouTube
▶
◆
The AI Broker
QUALIFIES · MATCHES · FOLLOWS UP
TALKS TO BUYERS ON TWO CHANNELS
REAL BUYER CALL
Site visit interested lead
qualified by AI
0:002:53
📞 THE CALL
The AI Broker on WhatsApp
💬 WHATSAPP
▶
THE CLOSE
🤝
Human agent
Only ever works a site-visit-ready buyer.
🏠 SALE
SELF-IMPROVING LOOP
every conversation → 🎓 AI Coach grades it → scorecard & correction → ↻ back into the AI — the next call is better
FED BY
▲
🏗 Property data
RERABDABBMPBWSSB
Every project, approval and filing, pulled from the government bodies that hold them.
🛣 Infrastructure data
Metro & road projectsNew corridors
What is being built nearby — the thing that actually moves a price.
A constant pipeline cleans both into machine-readable inventory the AI can actually reason over. This is running now.
PROPSENSE
09
THE BUSINESS
Builders pay us like a broker. But it runs like software.
HOMES WE SELL
how many
×
AVG. PRICE OF HOME
₹2 Cr
×
OUR COMMISSION
2–5%
=
OUR REVENUE
no other line
WORKED EXAMPLE ₹2.5 Cr × 2.5% → ₹6.25 L revenue to us
More buyers actually buy
Out of every 100 enquiries, the industry books about 1.
We expect Propsense to book 3.
Industry now ~1%
Our target 3%
• Instant to reply, tireless on follow-up
• Knows every project in the city
Margins expand with scale
Cost of selling gets cheaper
• AI keeps learning and can scale 10× efficiently
• AI itself keeps getting cheaper
PROPSENSE
10
TRACTION
The AI has already handled over a thousand home buyers.
1,000+
home buyers on WhatsApp
requirements gathered, qualified, properties matched
500+
home buyers on calls
the AI talks to them like a real broker
40
buyers asked the AI for a site visit
8 visits booked autonomously
Since Aug 2026: 439 unique buyers (428 on WhatsApp, 182 reached on calls) → 30 asked for a site visit.
50+ builders signed
1,000+ projects on the platform
Sobha
Prestige
Lodha
Brigade
Total Environment
Purvankara
PROPSENSE
11
LONG-TERM VISION
We sit in the middle today. Next we own both sides of it.
WHAT THEY GET
A neutral advisor, and a decision backed by data.
•Personalised reports, human-in-the-loop
•Knows every project in the city, never drops a follow-up
◆ Propsense
TODAY — LIVE NOW
A RERA-registered channel partner where AI does 75% of the work and a human closes.
•Our own voice + WhatsApp AI stack
•1,000+ projects, machine-readable
•Every conversation trains the next
🏗 Builder
WHAT THEY GET
Increased sales velocity than other channels.
•They pay only when a home is booked
HOW IT EXPANDS each phase opens a new stakeholder, and a new revenue line
WHAT WE ADD
NOW next 12 months
Bangalore micro-markets
Where we sell today.
PHASE 1
Bangalore, city-wide
Every micro-market. Brand building starts.
PHASE 2
Resale + more cities
The other half of the market, new cities.
PHASE 3
Ancillary services
Home loans · registration · interiors.
👤BUYER
Reports + video → content → inbound demand & brand trust
Personalised advisory, validation & decision support — monetisable
🏗BUILDER
Mandate the inventory
Open the AI Broker to 5 lakh brokers
Brokerage is only the first monetisation layer. The data and the buyer relationship are what compound.
PROPSENSE
11
THE MODEL AT MATURITY
Software economics in a brokerage body.
Target model & unit economics at scale.
1→3%
conversion
• AI Broker: Instant. Consistent. Tireless. Self-improving. Knows every project, matches better, converts more. (Industry converts 0.5–1%)
8–10×
revenue/head
• 4× leverage (75% AI Broker) × 3× conversion (1→3%)
• ₹80L–1Cr vs PropTiger's ₹8–10L per employee
52→78%
margins
• As brokerages scale, margins collapse. As we scale, margins grow.
Compute-scalable until the buyer site visit.
12
MOATS WE ARE BUILDING
Every sale makes the next one easier.
The Engine
Self-improving AI Broker
A human broker's judgment is trapped in one head and walks out the door. Ours compounds across every buyer and close and never plateaus.
The Data Flywheel
Proprietary deal-flow data that compounds
Every interaction is structured data → more buyers → better matching → more builders.
PROPSENSE
13
COMPETITIVE LANDSCAPE
Everyone sells primary homes. We're the only one designed to scale on compute, not people.
GENERAL + AI-NATIVE
PRIMARY + AI-NATIVE ★
GENERAL + HUMAN
PRIMARY + HUMAN
General ← Market Focus → Primary Residential
Human ← Tech DNA → AI-Native
Well-funded incumbents
Square Yards
IndiaHomes
NoBroker
Investors Clinic
HomeBazaar
Acquired by Aurum Tech
PropTiger
Star Estate
Homesfy
Pin Click
Value Per Sqft
Blox
Propsoch
PROPSENSE
★ Target position
WHY EMPTY?
AI-native isn't AI bolted onto a brokerage. It's the transaction layer rebuilt ground-up, zero legacy, around the domain depth primary demands with focus.
IPO-bound incumbents operating across market segments can't retrofit that without P&L+salesforce rebuild.
Partners (not rivals)
MANDATE: Anarock · PropertyPistol · Xanadu
ADS+LEADGEN: 99acres · Housing.com · MagicBricks
IPCs: JLL · CBRE · Knight Frank
PROPSENSE
15
THE ASK
Raising ₹1 crore
We already sell homes and earn commission. This round buys speed: more buyer ads, more projects, four key hires.
MILESTONES
TODAYIN 12 MONTHS
Closures a month
1–2→6
₹5–7 L a month → ₹25–30 L a month
Lead → site visit
10%→20%
60–70% of the work done by AI
Team
5→8–9
1 closure ≈ ₹4.5–5 L commission  ·  ~45–50 homes sold over the year, ~₹2 Cr commission earned
WHERE IT GOES
₹1 Cr funds the next 12 months of runway
The team
Getting buyers
Product
The team 38%
5 people, growing to 8–9
Getting buyers 44%
Ads and sales
Product & reserve 18%
AI, WhatsApp, tools, buffer
NEXT ROUND
₹4-5 Cr from a VC after the milestones are completed.
By month 12 we're selling 6 homes per month — 2.7× past break-even & the business sustains itself. Any funding beyond that is to grow faster only.
PROPSENSE
16

Let's build the AI-Native Real Estate Platform

One platform doing the work scattered across a million brokers, with a human for the moment that matters.

Thank You

Sreejith K

Sreejith K (CEO)

sk@propsense.ai

+91 81473 47848

Atul Anand

Atul Anand (COO)

atul@propsense.ai

+91 98848 04274

Siddharth Pai

Siddharth Pai (CTO)

sid@propsense.ai

+91 70221 67817

PROPSENSE.AI
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