SACHI.HOMES

Sachi

Buyer-side AI Advisor for every decision in a new-home purchase.

AI-LED, HUMAN-ASSISTED

SACHI.HOMES

Team

Consumer Product + Deep-Tech DNA

We've sold primary homes as brokers, talked to 500+ buyers, and this is our 3rd attempt at fixing primary residential real estate.

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 (CEO)

•Product leader who led Agentic AI products at one of India's most valued AI companies [Avataar.ai]
•10 years expertise leading products @ scaled B2B & deep-tech startups

Siddharth Pai (CTO)

•Technology Architect at WazirX
•Core Voice Platform Engg @ Exotel
•Founding Team at Scapic [Flipkart Acquired 3D Startup]

SACHI.HOMES

THE ADVICE GAP

Buying a ₹50K phone? Influencers, reviews, & comparisons.
Investing ₹1 lakh? SEBI-registered advisor to guide you.

A ₹2 crore new home comes with a brochure and pushy brokers with conflicting opinions.

THE EVIDENCE

#2nd most spammed & misleading ads sector

Buyers already asking strangers online for advice

Buyers lack expertise to completely verify what they're buying

54% won't buy from same developer again

5 Lakh families stuck in stalled projects

22% of all spam calls. Most-flagged sector for misleading ads, behind only health.

[1] [2]

3 viral Reddit threads on specific new builder projects covered by national press in 2025 alone.

[3] [4] [5]

84% can't assess construction quality. [6]

Delivery quality breaks trust. Buyers don't come back. [7]

Money locked, no home, no recourse. 2,000+ projects stuck since 2018. [8]

So buyers DIY their research. And still get it wrong!

SACHI.HOMES

The Structural Problem

2 out of 3 primary home sales go through brokers who:

Source 1, Source 2

→ Can't afford to advise.
→ Aren't trained to advise.
→ Aren't equipped to advise.

WHY THIS IS STRUCTURAL

Can't afford to advise.

Aren't trained to advise.

Aren't equipped to advise.

• Base salary ₹20-30K. Need 2 closures to survive. [1]

• Every Instagram lead costs builders ₹1,000–₹3,000 — among the priciest in India. [2]

• 100 leads to close 1 sale.

• So must make 100-150 calls daily. [3]

• Can't afford 30 mins on a maybe buyer.

Indeed 2025

• Only 10% brokers are RERA-registered.

• Among that, 40% failed a basic competency test. [4]

• A human can only hold info about maximum 5-10 projects.

• Within them, still lack many data points about properties which are critical.

Advisory at scale was structurally impossible until now.

SACHI.HOMES

THE PATTERN REPEATS

New home DISCOVERY was solved 10–15 years ago.

DECISION MAKING was never solved.

Discovery Solved

Decision Making Not Solved

Era 1 pre-2008

Offline Broker-led

solves: access

Era 2 2008–2020

Portal-led

solves: discovery

Era 3 2021–2025

Advisor-led

solves: decision

Era 4 2025 →

AI-native advisory

solves: decision at scale

Residential Real Estate

Local broker · Builder agent

~2% commission. "Last unit, decide today." 80% of sales still here.

99acres · MagicBricks · Housing

Find & filter listings. 5–10 brokers call after.

— VACANT · 2026 →

The slot is open. This is Sachi.

AI-led + Human Assisted

Insurance

LIC agents · Bank RMs

Door-to-door commissions. "Your uncle's friend."

Policybazaar

Find & compare online. 5–10 agents call after.

Ditto

Salaried advisors on WhatsApp & calls. Content-first.

—

SACHI.HOMES

Timing

Home buyer persona is shifting and they trust AI already.

Data and AI make unbiased advice feasible, scalable, and economical.

WHY THIS IS THE MOMENT

DATA

Primary Residential data is organised.

BUYER SHIFT

The home buyer persona is shifting.

AI ADOPTION & TRUST

Buyers already trust AI.

AI CAPABILITY + ECONOMICS

Capability & Economics finally work.

• Unified RERA (Sept 2025): 1.43L+ projects, 35 States/UTs.

[1]

• Millennials + Gen Z projected to drive ~60% of new home purchases by 2030.

[2]

• India is #1 AI assistant market. 19% of global users.

• 64% already use AI in purchase journey.

• >60% trust GenAI answers globally.

[3] [4]

• ~280× drop in reasoning costs in 2 years.

• Voice AI at sub-500ms latency in 11 Indian languages.

• AI agents' autonomous task length is doubling every ~4 months.

[5] [6] [7]

₹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

SACHI.HOMES

Introducing Sachi

For the first time, every Indian new home buyer has personalized, unbiased, data-backed, reliably high-quality advice for each decision.

SOLUTION

Reach

AI Advisor on

Intelligence

~100+ verified data points per project

Human Layer

Trained human advisors when AI can't handle

Everywhere buyers are

Guidance like a human advisor who's done the research for buyers. Speaks 11 Indian languages.

Data & Insights

Trained on every project, every builder, every location in India.

Seamless handoff: AI ↔ Human

During site visits, negotiation & paperwork, human advisor takes over with full context.

Fiduciary in spirit, AI-led, human assisted.

SACHI.HOMES

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

Real carpet area Promised vs delivered fittings Sanctioned electrical load True ceiling height Carpet efficiency vs neighbours Vastu Actual daylight Real cross-ventilation Tower-to-tower setback Flooding probability Builder's delay history Real RERA timeline AQI in address Cases against builder Builder bankruptcy chance A-Khata or B-Khata 30-year title chain EC + land mortgage Loanable by SBI? Subvention loan trap NOCs from Government Clubhouse per family HT lines & marsh Real open space Real rental yield

Product

Unbiased, data-backed advice for the biggest
purchase decision

Guiding buyers through the entire purchase journey.

SACHI.HOMES

Business Model

We make the same fee whichever home a buyer purchases,
so advice stays unbiased.

Builder pays the channel commission they already pay. Sachi keeps a flat fee per buyer. The rest goes back to the buyer.

Builder Pays

~2%

What they already pay the channel

→

Sachi Keeps

Flat fee
(slab-based)

Locked at intake by buyer's budget

→

Buyer Gets

The rest

Rebated post agreement to the buyer

Fee invariant within tier. Zero upsell incentive, by structure.

Example: ₹2Cr Close

₹4L

Builder pays

₹2L

Sachi keeps

₹2L

Buyer rebate

Adjacent revenue: home loan referral, legal, interiors. Optional add-ons. Advice is always free.

SACHI.HOMES

Traction · Live since April 4, 2026

Buyers have started trusting Sachi like a human advisor.

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 across multiple sessions. Sachi advised on whether to proceed and structured payment from PF + loan + savings based on family constraints.

Site Visit Scheduled · No Human Involved

Tired of renting, started home search to site visit booked in one session via Sachi AI on WhatsApp. No human involvement.

3BHK in Malleswaram under ₹1.5 Cr, explored multiple properties, selected Renaissance Reserva at ₹1.25 Cr, reviewed details and booked site visit.

Supply

300+ projects indexed

17 builders signed

Bengaluru · adding 1–2 builders per week.

Early Product Traction

403 WhatsApp paid sessions

142 Web paid sessions

11 median msgs / WhatsApp session

46% invoke property deep-dive

Revenue

4 homes sold

₹9.53Cr GMV

~₹19L booked revenue (Jan-Mar '26)

4 EOIs collected · 2 potential sales

Closed via broker ops. Advisor-attributed revenue is next milestone.

SACHI.HOMES

Go-To-Market

Paid acquisition to the organic content engine.

Now

Click-to-WhatsApp on Meta.

Improve the product with home buyers
Refine the advisory playbook
₹300-400 CAC to advisory sales revenue

Long-term

Organic content engine.

Trust before contact. Buyers arrive with trust built. Competitors spam to reach them.
Compounding distribution. Every piece of content is a permanent asset to reduce CAC.

SACHI.HOMES

Competitive Landscape

Pushy Sales ―――――――――→ Advisory

Human-led ―――――――――→ AI-led, Scalable

SACHI

AI-led, human-assisted advisory

SACHI.HOMES

Moats We Are Building

Incumbents can't follow without breaking their P&L.

Buyer-Fiduciary Brand.

NoBroker, Square Yards: not buyer-side. We're building India's first scalable, standardized buyer-side advisory where AI analyzes market-wide patterns no human can track.

P&L Asymmetry.

Brokerages run on a salaried sales-team cost base. The rebate cuts revenue per deal in half; that cost base would need a full rebuild. Buyer-advisor peers cap higher because human-only delivery has a cost floor.

Self-Improving AI Advisor.

Sachi analyzes 100+ signals per property and refines advice from every conversation. The more buyers we serve, the smarter the advice. A moat that deepens with scale.

Trust & Content Flywheel.

Organic content reduces CAC. Sachi builds audience through educational content, not ads. Trust compounds into referrals.

SACHI.HOMES

Market

₹18,000 Cr/yr flows to brokers in primary home sales alone.[1]

India's housing market is ~64% primary (GMV). [1]

India Residential Real Estate Market

Primary market size [2]

$438B

2026

$702B

2031

CAGR

9.88%

SACHI.HOMES

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%

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, 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

M04

12-person
founding team

3 founders + 4 eng + 4 content + 3 advisors + 2 ops

←

→

Sachi

Consumer Product + Deep-Tech DNA

Atul Anand (COO)

Sreejith K (CEO)

Siddharth Pai (CTO)

A ₹2 crore new home comes with a brochure and pushy brokers with conflicting opinions.

2 out of 3 primary home sales go through brokers who:

New home DISCOVERY was solved 10–15 years ago.

DECISION MAKING was never solved.

Home buyer persona is shifting and they trust AI already.Data and AI make unbiased advice feasible, scalable, and economical.

₹1.4 Crore.

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

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

Zerodha / Groww

Policybazaar

Jar

Sachi

For the first time, every Indian new home buyer has personalized, unbiased, data-backed, reliably high-quality advice for each decision.

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

Unbiased, data-backed advice for the biggestpurchase decision

The data foundation under every Sachi answer.

We make the same fee whichever home a buyer purchases,so advice stays unbiased.

Buyers have started trusting Sachi like a human advisor.

Paid acquisition to the organic content engine.

Competitive Landscape

Incumbents can't follow without breaking their P&L.

₹18,000 Cr/yr flows to brokers in primary home sales alone.[1]

Raising $1M Pre-Seed.

Home buyer persona is shifting and they trust AI already.

Data and AI make unbiased advice feasible, scalable, and economical.

Unbiased, data-backed advice for the biggest
purchase decision

We make the same fee whichever home a buyer purchases,
so advice stays unbiased.