01
The subscription stack keeps growing
Docs, email, social, AI chat, lead tools — each with its own login and invoice.
Seed round
UltraLooper
Agentic AI marketing system for SMBs — one workspace, pre-trained agents, and a single credit wallet.
Raising ₹71.25L · India-first INR model · Sep-26 → Aug-31
Agent network · shared memory
UltraLooper · Confidential01
The problem
You're not failing. Your stack is.
Lean teams burn out juggling subscriptions, tabs, and tools that never share context.
02
Monday starts with twelve tabs
Inbox, calendar, CRM, ads, content, three AI chats — before you've shipped anything.
03
Strategy dies in copy-paste
ICP in a doc, leads in a sheet, posts in a scheduler. Every handoff strips intent.
04
You bought AI — you're still the operator
Blank prompts, manual follow-ups, fixing outputs. The tool waits; you orchestrate.
05
You're the glue between every system
Approvals, reposts, lead updates, status pings — nobody else connects the dots.
06
Marketing never feels finished
Posts go out, leads go cold, SEO waits for “next quarter.” Always one sprint behind.
UltraLooper · Confidential02
The solution
An Agentic AI marketing system.
One platform where pre-trained agents run growth loops — inside CRM, workplace apps, and SEO — without juggling five vendors.
Pre-trained agent fleet
Digital marketing team, day one
Lead gen, content, social, email, SEO, competitor analysis — ready agents, not blank chat.
CRM that closes the loop
Leads in. Pipeline live.
Prospects from agents land in CRM automatically — nurture and follow-up without copy-paste.
Workplace suite
Where work actually happens
Meet, Docs, Chat, Mail, Calendar, Drive, Tasks — one login with shared context for humans + agents.
Growth tools built-in
SEO · email · lead gen
Inbuilt SEO, drips, and lead tools on one credit wallet — no add-on stack tax.
UltraLooper · Confidential03
Competition
They win a lane. We win the intersection.
| Capability | Workspace stacks | Zapier / bots | Agencies | UltraLooper |
|---|---|---|---|---|
| Unified workspace | Strong | Weak | — | Strong |
| Autonomous agents | Add-on | Partial | People | Core |
| India INR pricing | USD-first | USD-first | Project | Native |
| Credits + CRM growth loops | No | No | Manual | Yes |
Moat: sticky tenant data + agent↔CRM loops — not another chat wrapper. Risk we watch: token COGS and Big Tech copilots.
UltraLooper · Confidential04
Market opportunity
Where we play.
TAM
$650B+
SAM
$20B+
SOM
$50M
TAM · Enterprise software & AI
$650B+
Global enterprise software & AI market
SAM · AI agents & workflow automation
$20B+
AI agent and workflow automation
SOM · Mid-market & digital agencies
$50M
Near-term: India-first SMBs & agencies (INR wedge)
Sources: Gartner Worldwide IT Spending Forecast · Grand View Research – AI Agents · McKinsey B2B SaaS
UltraLooper · Confidential05
Go-to-market
How we get to 178 active YE.
01 · Acquire
Demand
Google & LinkedIn paid, programmatic SEO, partnerships. Y1 marketing ~₹17L in the model.
02 · Engage
Trust
Demos, content, remarketing — prove agents before expanding the credit wallet.
03 · Convert
Monetize
₹5k credit path first, then attach seats (₹990) and managed (₹30k).
04 · Optimize
Unit economics
CAC payback + churn discipline: credits 2% · seats 1.5% · managed 1% / mo.
192 → 178
New credit clients · active YE
30 · 10
Seat clients · managed YE
₹12.2L
M12 MRR target
UltraLooper · Confidential06
Business model
Three streams + unit economics.
Stream 01
₹5,000/mo
Credit spend
Recurring ARPU — agents, SEO, email & lead gen on one wallet (₹1 = 1 credit).
Stream 02
₹990/mo
Extra seats
Attach: extra 10 seats @ ₹99 when the workspace grows.
Stream 03
₹30,000/mo
Managed services
Done-with-you / done-for-you growth ops for outcome buyers.
Variable COGS~₹550/credit client / mo
Payment gateway~2%of revenue
Churn / mo2% · 1.5% · 1%credits · seats · managed
Active formulaPrior − churn + newfull 60-mo model
UltraLooper · Confidential07
Year-1 operating plan
What the model actually underwrites.
192
New 5K-credit clients
~14
Churned (credits)
178
Active credit YE
30
Extra-seat clients YE
10
Managed clients YE
₹63.5L
Y1 total revenue
₹12.2L
M12 MRR
₹1.46Cr
ARR proxy (M12×12)
~₹17L
Y1 marketing spend
Horizon Sep-26 → Aug-27 (Y1) · Base case in UltraLooper_Financial_Model.xlsx · Downside scenario also modelled
UltraLooper · Confidential08
5-year financials
Revenue, spend & EBITDA.
Revenue
Spend (COGS + opex)
EBITDA
INR Crore · Base case
0.64
0.62
0.01
Y1
2.67
0.94
1.73
Y2
5.99
1.43
4.56
Y3
11.35
2.09
9.26
Y4
19.14
3.06
16.09
Y5
Y1 ~flat EBITDA
₹63.5L rev · spend ≈ rev (invest to grow)
Y3 ₹4.6Cr EBITDA
On ₹5.99 Cr revenue
Y5 ₹16.1Cr EBITDA
On ₹19.1 Cr revenue
UltraLooper · Confidential09
Valuation
Seed maths. INR only.
Raising ₹71.25L (~$74k @ ₹96). Angel / pre-seed dilution band — not Series A comps.
Base · recommended
10%
Pre-money₹6.41 Cr
Post-money₹7.13 Cr
Founder retain90%
Mid
12.5%
Pre-money₹4.99 Cr
Post-money₹5.70 Cr
Founder retain87.5%
Ceiling
15%
Pre-money₹4.04 Cr
Post-money₹4.75 Cr
Founder retain85%
Post-money = raise ÷ stake. CapTable_Dilution tab in the workbook · do not price off late-stage agentic peers.
UltraLooper · Confidential10
The ask
₹71,25,000
~$74k @ ₹96 · Target 10% (ceiling 15%) · Seed funds Y1 growth; model near EBITDA break-even YE1
40%
Engineering
30%
Sales & growth
20%
Infra & AI
10%
Legal / WC
M6Pipeline + first managed attaches
M12~178 credit actives · ₹12.2L MRR
NextSeries seed path on ARR proxy ~₹1.46Cr
R
Rahul Vijay Agarwal
Founder & CEO · Agentic SEO / AI SaaS · Full-stack execution
invest@ultralooper.com
UltraLooper · Confidential11