500 Demo Day Batch 18: Datatron

1. datatron
Fast Predic.ve
AI Engine
harish@datatron.io
h-ps://angel.co/datatron

2. founded
snapchat stories
scaled
from zero
to billions

3. Typical Enterprise
~2TB/day
Big Data Processing Time
TIME
EXISTING
SOLUTIONS
DATATRON
100x FASTER

4. DATATRON’S BUSINESS LOGIC
AND COMPUTE
GUI for Rules
AI Engine
Intake and cleanse stream-­‐in
MDM / Data Governance
DATATRON’S
INGESTION I.E.
CONNECTORS,
API STREAMS
Opera.onal Reports
Regulatory & Compliance
Deep Analy.cs Discovery
RISK/COMPLIANCE/SERVICE/
DISPUTES/ANALYSTS

5. Data Reservoir
Dynamic Business Logic
Machine learning models
Cross join datasets
Datatron
Engine
Data from IoT
Real-­‐
time data at the time
of customer
Connectors / API
Near Real-­‐Cme Decisions
Direct control on the BI and discovery(BL)
Real-­‐Cme Business ApplicaCons(usecases)
Lesser TCO/
ImplementaCon
cycles
VisualizaCon &
Discovery
Business
power users
CIO/CDO/BI/
AnalyCcs
teams
Engineering
Data Governance
Reference Data
Master Data
Audit Framework
EnCtlements
Customer Environment Plus Datatron

6. 10%
REVENUE

7. Enterprise
Market

8. datatron
harish@datatron.io
team picture