A look at the architecture of AI company 60 seconds to fly and insights into how to build an AI company from scratch

1. C L A I R E
BY 30 SECONDS TO FLY
A NEW GENERATION OF ENTERPRISE SOFTWARE
THE SPECIALIZED EMPLOYEE POWERED BY A.I.
RICCARDO@30SECONDSTOFLY.COM@30SECONDSTOFLY

2. Data for machine learning is dumped to MongoDB,
mission critical data on MySQL and key-value cache
& pub/sub on Redis.
Data crunching in Python, API in Node.js
External APIs
Our AWS Eco-System
load
balancera.i.
mongo db
Python
my sql redis
Travel Management
control panel
travel agent
control panel
message
providerS
a.p.i.
Node.js
load
balancer
GDS AND
travel supply
Travel
technologies
Enterprise
softwares
payment
gateway
Architecture
C L A I R E
Traveler
Device

3. Data for machine learning is dumped to MongoDB,
mission critical data on MySQL and key-value cache
& pub/sub on Redis.
Data crunching in Python, API in Node.js
External APIs
Our AWS Eco-System
load
balancera.i.
mongo db
Python
my sql redis
Travel Management
control panel
travel agent
control panel
message
providerS
a.p.i.
Node.js
load
balancer
GDS AND
travel supply
Travel
technologies
Enterprise
softwares
payment
gateway
Architecture
C L A I R E
Traveler
Device

4. NLP
A.I. Core
Conversation
logic
Decision alg. /
Selection Alg

5. Tokenization POS
Intent
Recognition
NERDependecy
Parsing
CRFS training
Corpus Gazzettes
Grounding
decide
questions
process
parameters
Set
contexts
Information extraction
Stanford core NLP
Conversation Logic

6. Mapping
Travel Supply
Avaliability
Decision algorithms
travel optionS
fast & Cost effective
Machine Learning
ALGorithm

7. C L A I R E
RICCARDO@30SECONDSTOFLY.COM
@30SECONDSTOFLY
THANK YOU FOR YOUR ATTENTION