Sachi

The buyer-side AI advisor for new-home purchases.

Pre-Seed 2026 sachi.homes
02
New Home Buyer Problem

Misled. Pressured. Burned.

Misled

Buyers can't tell what's real until after they've signed.

Pressured

Decisions are forced before there's time to think.

Burned

The mistakes only surface after the money is gone.

Trust is broken.

No trust. So buyers do the research themselves and still get it wrong.

~6 in 10 buyers misled on pricing, possession, or amenities.

Real estate: #2 most-flagged sector for misleading ads.

5 Lakh families stuck in stalled projects.

Pre-Seed 2026 sachi.homes
03
The Structural Problem

Why honest advice doesn't exist

80% of home sales happen through brokers.

Portals sell leads, not advice

Revenue from builder listings + selling your contact to 5-10 brokers.

Brokers can't afford to advise

₹15-25K salary, 2 sales from 200 leads - no time for 30-min calls on maybes.

Brokers aren't equipped to advise

Only 10% are RERA-registered. Of those, 40% failed a basic competency test.

Economic Survey 2024-25 · MahaRERA 2024

Advisory at scale was impossible until now.

Too expensive. Too scattered. Too manual.

Pre-Seed 2026 sachi.homes
04
Timing

Why Now: Three Shifts Create the Moment

Step 01

India's Trusted Property Data Foundation Just Got Built

  • •Unified RERA (Sept 4, 2025): 1.43L+ projects, 1.11 cr units, 35 States/UTs
  • •SC Nov 2025: machine-readable quarterly reports by end-2026

rera.mohua.gov.in

Step 02

Indian Buyers Are Already AI-First

Step 03

Advisor-Grade AI, Now Possible

This Year, AI Advice Beats Human Advisors And Brokers.

At 1/100th the cost, with infinite scale.

₹1.4 Crore.

That's the full-year AI cost of giving every under-35 first-home buyer in India a 30-minute voice advisory session in their own language. In 2022, the same service would have been structurally impossible at any price.

~2.5L under-35 first-home buyers × 30-min voice × current prices = ~₹1.4 cr/year
Less than one sales director's compensation. Voice session: ~₹55–60.

Anarock, JLL, Knight Frank 2025 + Epoch AI

The Buyer

90–95% millennial+GenZ; 72% apply online; 81% distrust builder prices

BASIC × Paytm 2025, ANAROCK H1 2025

The Data

1.43L+ projects, 35 States/UTs unified Sept 4, 2025. SC: machine-readable by end-2026

rera.mohua.gov.in

Timing

Proptech Is a Graveyard. This Is Why That's the Wrong Read in 2026.

The 2015 playbook - classifieds, leads, broker commissions - deserved to die. What's possible in 2026 is a different species.

"Indian buyers don't pay for advice."

They didn't when the product was listings. Adjacent verticals prove they pay for trust: Zerodha (stocks), Policybazaar (insurance), Jar (35M users, profitable FY25)

TechCrunch, Fi Money 2025

"Proptech margins are broker-thin."

True when humans gave advice. At ~₹60/voice session, advisory = software margins. Full-year cost to serve 1M buyers: ~₹1.4 cr. EliseAI (US): $2.2B valuation, >$100M ARR.

Epoch AI, SiliconAngle Aug 2025

"RERA data is a mess no one will clean."

Was. As of Sept 4, 2025 MoHUA consolidated 1.43L+ projects into unified portal. SC Nov 2025: machine-readable quarterly reports by end-2026.

rera.mohua.gov.in

Timing

India's Trust-Layer Pattern. Homes Are Next.

Every consumer category in India that matters was built when technology made honesty cheaper than deception. Homes are the last big one left.

📈
2010s · STOCKS

Zerodha / Groww

Mobile + dematerialization killed the conflicted sub-broker

🛡️
2014 · INSURANCE

Policybazaar

Aggregated data exposed policy asymmetries

💰
2021 · SAVINGS

Jar

Digital gold trust through transparency + convenience

🏡
2026 · HOMES

Sachi

LLMs + unified RERA kill the conflicted channel partner

Disclosure

MoHUA unified portal (Sept 2025)

Advisory

LLM inference ~200×/year cost decline

Behavioral

90–95% millennial+GenZ buyers

Category comp: EliseAI (US) at $2.2B, 10% US apartment market

Pre-Seed 2026 sachi.homes
05
Team

Consumer Product + Deep-Tech DNA

Atul Anand

Atul Anand (COO)

  • •P&L ownership and proven experience scaling a B2C product from 0 to $4M ARR
  • •IIT Kharagpur + ISB; 10+ yrs building/scaling B2C products
IIT KGP, ISB, MediBuddy, Bharat Matrimony
Sreejith K

Sreejith K (CEO)

  • •Product leader who led Agentic AI products at India's most valued AI+3D startup [Avataar.ai]
  • •10 years expertise leading products @ scaled B2B & deep-tech startups
Avataar, Akridata, Scapic, Exotel
Siddharth Pai

Siddharth Pai (CTO)

  • •Technology Architect at WazirX
  • •Core Voice Platform Engg @ Exotel
  • •Founding Team at Scapic [Flipkart Acquired 3D Startup]
WazirX, Coverfox, Scapic, Exotel
Pre-Seed 2026
sachi.homes
06
Introducing Sachi

For the first time, every Indian new home buyer has someone on their side.

The advisor families deserve

✓ Clear ✓ Accessible ✓ Pressure-free
✓ Data-backed ✓ Unbiased ✓ Commission rebate to buyer ✓ Personalised

Trust As The Product And Service.

Fiduciary In Spirit.

Pre-Seed 2026 sachi.homes
07
HOW SACHI WORKS

One advisor. Every channel. Every signal. Every step of the way.

ENTRY
WhatsApp
Calls
Web

One memory. 11 Indian languages.

INTELLIGENCE

Trained on every signal that matters.

RERARERA MetroNamma Metro OSMOpenStreetMap WebWeb Listings
Google MapsGoogle Maps BBMPBBMP BuilderBuilder Filings Pricing Data
Builder track record Construction quality Real possession date Hidden costs Price vs market
Legal clearances Water & flood risk Commute time Schools nearby Resale potential
Light & ventilation Vastu compliance Project density Carpet efficiency

150+ signals on every project

CLOSING MOMENTS

When it counts,
humans step in.

Site visits with full Sachi context

Negotiation & paperwork support

Buyer keeps Sachi too - never repeats themselves

Fiduciary in spirit.

SACHI - AI REAL ESTATE ADVISOR

Everywhere AI advisor that guides home buyers, like a human expert

One shared AI brain across WhatsApp, Calls, and Web

  • Chats naturally with buyers using text, images and video
  • Continuity across every channel buyers already use
  • Remembers everything, so buyers never have to re-explain
  • Understands family needs, budget, timelines and non-negotiables

Guiding & solving discovery to shortlisting, not just answering questions

Product

Built to actually guide, not just chat or sell.

Sachi is a buyer-side AI advisor that talks to buyers like a human expert, and brings in a real human when it matters most.

EVERYWHERE BUYERS ARE

One memory across every conversation.
11 Indian languages.

DATA & INSIGHTS

Trained on every project, every builder, every micro-market in India.

Projects Builders Locations +147 signals
See the full data graph →
THE HUMAN LAYER

Humans handle site visits, negotiation & paperwork.

Sachi stays with the buyer throughout.

Guiding Buyers From Exploration To Purchase.

Pre-Seed 2026 sachi.homes
08

Competitive Landscape

Pushy Sales ―――→ Advisory
Human-led ―――→ Scalable AI
PropSoch
Brickfi
NoBroker
Square Yards
Blox
PropTiger
Housiey
SACHI

AI-led, human-assisted advisory

Pre-Seed 2026
sachi.homes
09
THE MOAT

Why we will win.

We are the only company structurally positioned to build a moat in this category. Incumbents can't follow without breaking their P&L. New entrants start years behind.

Brand.
The category has no trusted name today. Whoever earns it first owns the next ten years of word-of-mouth, and we are the only ones structurally aligned to earn it.
Scalable Advisory.
Knowledge no human advisor could hold. Cost no human advisor could match. Together they make a scalable buyer-side flat-fee model possible for the first time.
Compounding AI.
Every buyer conversation will make Sachi smarter. The no's, the why-nots, the trade-offs, data nobody else collects.
Pre-Seed 2026
sachi.homes
10
MARKET

India's housing market is 60% primary.

New homes, sold before they're built — vs. ~10% in the US. Buyers commit life savings to a property that doesn't exist yet.

TAM
Residential, top 60 cities · primary + secondary
$150B GMV
~900K transactions / yr
SAM
Primary residential, top 60 cities
$85B GMV
~550K transactions / yr
SOM +14% YoY · only growing tier
Premium primary, top 7 cities · ₹1Cr+ tickets
$40B GMV
~175K transactions / yr
Sachi monetization: ₹1L flat fee per transaction — covered on the business-model slide.
Sources: Knight Frank H2 2025 · Anarock CY25 · Blume Indus Valley 2025
Pre-Seed 2026
sachi.homes
11
GO-TO-MARKET

Build the audience first. Monetize the trust later.

Bengaluru first. Buyer-first content engine feeds a free advisory funnel that compounds QoQ.

Sachi is the influencer and the advisor. Same face. Same brain.

Reach
Search · Video · Social
1M
→
Engage
Chat · Call · Advisory
50K
→
Advise
Shortlist · Tours
8K
→
Site Visit
Advisor present
800
→
Booking
Conversion
200

Y1 Bengaluru · illustrative · ~25% of wedge SKU

WHY THIS WINS

01

Compounding distribution

Every piece of content is a permanent asset. CAC bends down, not up.

02

Own the question & answer

Wherever buyers ask, Sachi is the answer — not an ad.

03

Trust before contact

Buyers arrive pre-trusting. Others spam to reach them.

Finshots clarity. MKBHD depth.

Pre-Seed 2026 sachi.homes
12
BUSINESS MODEL

Flat fee. Buyer rebate.

Builders pay standard commission. Sachi keeps ₹1L flat. The rest goes back to the buyer.

BUILDER PAYS
~2%
Standard channel
commission
→
SACHI KEEPS
₹1L flat
Advisory fee
per transaction
→
BUYER GETS
The rest
Rebate on
closing
EXAMPLE — ₹1.5CR HOME
Home price ₹1.5Cr
Channel commission (~2%) ₹3L
Sachi keeps (flat fee) ₹1L
Buyer rebate ₹2L
REVENUE STACK
Core advisory
₹1L per transaction
Home loan referral
0.25–0.5% of loan
Legal & DD Pack
Priced separately
Interiors referral
3–5% of project

No commission bias. Aligned by structure.

~175K txns/yr in top-7 ₹1Cr+ × ₹1L = ~₹1,750Cr advisory pool · ~₹175Cr ARR at 10% share

Pre-Seed 2026
sachi.homes
13
TRACTION · ALPHA · 22 DAYS LIVE

Supply locked. Buyers engaged. Revenue started.

Three weeks of paid alpha across WhatsApp and Web. Inventory is compounding, conversation depth is real, and the first closes are in.

SUPPLY
300+
Projects live and served — RERA, BBMP, builder data indexed in production.
17 builders
Channel partnerships signed. Adding 1–2 per week.
Inventory locked. Distribution compounding.
PRODUCT DEPTH
35%
Of paid WhatsApp sessions go past 7 messages — buyers are talking, not bouncing.
25 msgs / session
Peak engaged-session depth. Advisory conversations, not chatbot pings.
46%
Of Web sessions invoke a deep-dive analysis tool.
When buyers engage, they go deep.
REVENUE
4 sales closed
Revenue realization in progress.
4 EOIs in pipeline
Active expressions of interest converting next.
Closed via concierge handoff. Advisor-attributed sales is the next milestone.
BUYER QUOTE · ADUGODI
"I am confused. Because I have a daughter for marriage and a son who is studying."
53-yr-old salaried buyer trusted Sachi with his family's financial future across multiple sessions. Sachi advised on whether to proceed, negotiated ₹1.35 Cr → ₹1.2 Cr, structured payment across PF + loan + savings.
Pre-Seed 2026 sachi.homes
15
THE ASK

Raising $1M Pre-Seed.

18 months · Bengaluru beachhead · ₹1L unit economics, proven.

Use of Funds
$1.0M over 18 months · ~$55K/mo blended burn
35%
25%
12%
10%
8%
10%
AI Advisor Build$350K Eng team, LLM/voice infra, RERA data
Content Engine$250K Editorial pod of 4, production, creators
Human Advisors$120K 3 ex-RM hires + advisory ops
Buyer Acquisition$100K Paid amplification, on-ground events
Ops & Compliance$80K RERA, escrow/rebate flow, legal
Reserve$100K 2-month extension cushion
18-Month Milestones
M01
100 Bengaluru
transactions
₹1Cr advisory revenue
M02
1M content
reach
Long-tail organic > paid by month 12
M03
All Bengaluru
builders signed
Clean 2% commission flow live
M04
12-person
founding team
3 founders + 4 eng + 4 content + 3 advisors + 2 ops
Seed Trigger · M15 | 75+ transactions · 800K reach · 4+ builders → $4–6M Seed
Pre-Seed 2026
sachi.homes
←
→