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Seed round — open for strategic conversations

The world's leading agentic commerce platform.

Millions of businesses pre-indexed before Day 1. An AI agent that finds, compares, and orchestrates quotes — without the user ever leaving the conversation.

NSAIProprietary Neuro-Symbolic AI — the intelligence layer powering every interaction
madan@janooma.com →
10M+
Records pre-indexed at launch
₹0
Cold-start spend needed
3
Revenue streams from Month 3
25+
Years founder experience
The technical moat

NSAI — not just another LLM wrapper.

Every competitor is built on standard LLMs with context windows that forget, APIs that leak data, and costs that scale with usage. Janooma is built on NSAI, our proprietary Neuro-Symbolic AI engine that combines a small neural model with an unlimited, encrypted context graph.

This means every buyer–seller interaction is remembered permanently, every business profile enriches the graph over time, and the moat compounds with every query — making Janooma structurally impossible to replicate by copy-pasting a GPT wrapper.

Read the NSAI technical overview →
Unlimited context
LLM
LLMs forget after ~1M tokens
NSAI
Graph grows without bound — every interaction preserved
Zero data leakage
LLM
LLM APIs expose prompts to providers
NSAI
Context graph is encrypted, on-prem, never leaves your perimeter
Compounding moat
LLM
LLMs are commodity — any competitor can call the same API
NSAI
NSAI graph enriches with every query — proprietary, non-replicable
Inference cost
LLM
₹X per token — scales with usage
NSAI
Graph traversal on CPU — near-zero marginal cost at scale
The Problem

Commerce discovery is broken.

Traditional directories list millions of businesses — but they're passive. You browse, you call, you wait. B2B catalogs are static and slow. Google shows ads. None of them work for the buyer.

The high-consideration buyer — planning a trip, buying a laptop, booking a wedding venue — needs a procurement agent, not a directory.

Directories
Passive listing directory
No agent layer
B2B Catalogs
Static supply catalog
No agent layer
Google
Shows ads, not answers
No orchestration
Janooma
AI agent that finds, compares & books
The gap we fill
The Product

The conversation IS the product.

Example — Consumer Electronics, Bangalore
User
I need a new gaming laptop, budget ₹80,000.
Janooma AI
Found 34 gaming laptops under ₹80K in Bangalore. Top picks: ASUS ROG, Lenovo Legion, HP Omen. Shall I get quotes from verified dealers?
User
Yes, get me quotes.
Janooma AI
Contacting 8 dealers now. You'll have ranked quotes within 6 hours. I'll notify you on WhatsApp.
01
Intent parsing
Category · location · budget · urgency — extracted in one turn
02
Smart shortlisting
Ranks from millions of records; surfaces top 5–10 matches with context
03
Quote orchestration
Contacts vendors via WhatsApp API with structured lead; 6hr SLA enforced
04
Ranked results
Presents quotes by price, response time, and vendor rating
05
Purchase assist
Schedules visits, facilitates booking, supports payment intent
06
Data flywheel
Every query enriches records → better future answers → compounding moat
Business Model

Three revenue streams from Month 3.

Line 1
Pay-per-lead

Vendors pay ₹200–500 per qualified buyer lead. Target: 500 leads/month across 50 vendors.

₹1–2.5L/mo by Month 5
Line 2
Boost listings

Priority placement + agent-first responses at ₹999–2,999/month per vendor.

₹50K–3L/mo by Month 5
Line 3
Concierge fee

Buyers pay ₹499–999 for full agent-managed coordination — travel, weddings, home reno.

Launches Month 5–6
Revenue Milestones

Path to $100K/month.

Month 3
$500/mo
First paying vendors, 500 leads
Month 5
$3,000/mo
Sustain point — 80 paying vendors
Month 9
$15,000/mo
5 cities × 5 categories
Year 2
$100,000/mo
Series A, SEA expansion
Go-To-Market

Four phases. Twelve months to scale.

Phase 0
Foundation
Month 1–2
  • Data enrichment on millions of records — electronics & travel verticals first
  • Agent MVP: search → shortlist → quote → present
  • Vendor FOMO engine: pre-populate listings, outreach with real search data
Phase 1
Alpha
Month 3–5
  • Pay-per-lead model; 500 leads/month target
  • Boost listings subscription; 80 paying vendors = sustain point
  • User acquisition: communities, social media, micro-influencers — zero budget
Phase 2
Scale
Month 6–12
  • 5 markets × 5 categories
  • Agent evolves: memory, negotiation, comparison intelligence
  • B2B API access for enterprises; data flywheel fully operational
Phase 3
Global
Year 2+
  • SEA first: Indonesia, Vietnam, Philippines — same market structure
  • White-label / license to local market operators
  • Series A on proven unit economics
Risk & Mitigation

We've thought about the hard parts.

Agent quality
Human-in-loop first 1,000 queries; continuous RLHF on outcomes
Vendor no-shows
6-hr SLA ranking penalty; response rate shown publicly
Directories / Catalogs
We don't compete — conversation IS the product, not the listing
Data quality
Enrich progressively; surface gaps as vendor onboarding prompts
The Team

Founder with 25+ years of building & scaling globally.

Built and scaled disruptive businesses across technology and commerce globally. Deep understanding of consumer markets across multiple regions.

Now assembling a lean, high-conviction team to build the infrastructure for the next generation of global commerce.

Hiring across:
Agent Engineer (LLM, RAG, WhatsApp APIs)
Full-stack Developer (React, Node)
Data Enrichment Lead (large-scale records)
Growth & Vendor Onboarding
Product Designer
City Ops Manager
Explore Careers →

Smart capital only. Let's talk.

Seed round open for investors who understand the global agentic commerce opportunity and want to back a founder who has done it before.

madan@janooma.com →