500 Demo Day Batch 18: Datatron

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datatron Fast Predic.ve AI Engine [email protected] h-ps://angel.co/datatron

Transcript of 500 Demo Day Batch 18: Datatron

Page 1: 500 Demo Day Batch 18: Datatron

datatron

Fast  Predic.veAI  Engine

[email protected]  h-ps://angel.co/datatron

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founded

snapchat  stories

scaled  from  zero  to  billions

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Typical  Enterprise  ~2TB/day

Big  Data  Processing  Time

TIME

EXISTING  SOLUTIONS

DATATRON 100x  FASTER

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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

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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

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10%REVENUE

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Enterprise Market

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datatron

[email protected]

team  picture