infograph like series b deck

1. Seamless Data
LLM Data Processing solutions for
AI(manifesto)

2. AI data processing infrastructure is still growing, but
immature

3. Limitations of current AI data processing infrastructure
Data processing for AI is a big costs
Data processing in AI involve complex processes
Migrations to other DC/Cloud always need rewrite
Technology keep changing(Getting Exponentially
cheaper hardware)
AI project revenue-model still inconsistent

4. Solutions
Save Money by having a proven cost
effective Data processing software
Make Money, Proof: AI processing costs
< Costs of Sold AI services and or Value
of service
Seamlessly solve your LLM processing
problem.

5. Market Validation
Our Market are Public and Private
Enterprise department that requires
domain knowledge services.
Received enterprise subscription
within 1 week of opening
All inner-circle friends in Apple,
Mckesson , Intel are interested to
sign in
Validated Enterprise features

6. Bottom Up Market size(TAM)
$250,000 software subscription per customer(organization department)
$250,000 average customer(department) subscription X
#Total potential service department= (public)5996 X 3(average svc dept) +
(private > 2 billion) 258 X 3(average svc dept)
Bottom TAM =$4,693,000,000

7. PATH TO $250 million
FIRST ICP lists $10M ARR = 14 customers
$100M ARR = 134 customers(customer 1 dept)
$250 ARR = 334 customers

8. GOTO market plan
Web / email engagement.
Consultant / Solution Architect
Partners

9. Value Preposition
Justify the high-cost of AI LLM project by value
Handles multi-cloud and on-premise hardware upgrades
Handles training data and detect valuable business training data
from competitor(secret sauce)
Manage role and authorization of data in enterprise environment

10. Team
founder, cofounder of
Continuuity/Cask (acquired by
GOOG)
founder, ex-Apple engineer, and
Zynga. Former independent tech-
sales for Cloudera product, work on
credo “ship code-close sales”
ex-google engineer and
Doordash, expert in writing
complex software.
Todd Pappaniou Edwin Permana Hendra Tjahjadi

11. Current status, customers and
accomplishments
Table 1
Current Customer Customer Closing On-Hold
Apple Autodesk
Walmart Mckesson
Lineage Logistics
Wells Fargo
SFO
SFO City
Federal Reserve Bank
Visa

12. Here is what we need today
We already have $500K revenue, we ask $250K-$500K for
Introduction to Series A Investor
HIRE VP of Customer Success
CLOSING 11 ICP customers for the $2.75 Million sales