This document contains summaries of various case studies across different industries such as insurance, healthcare, recruitment, and industrial automation. The case studies describe problems businesses face, proposed solutions, and the values the solutions provide. Industries and solutions covered include flight insurance, on-demand device insurance, an insurance calculator, an SME insurance platform, AI bots, industrial IoT networking, pattern recognition, text and image recognition for databases, a pharmaceutical CRM, a medical CRM, infectious disease management, resume generation from text, and an online resume database for recruiters.

1. CASE
STUDIES
4tifier.com

2. AGENDA
3
7
5
9
INSURANCE
Panzly
inCover
Metlife
PeerCircle
11
15
13
17
AI Bot
Networking Solution
Pattern Recognition
Text and Image Recognition
INDUSTRIAL AUTOMATION
25
27
29
Ontology
CV Bank
Contact Us
RECRUITMENT
19
23
21
MedOne
ApoThemis
Infectious Diseases
Management System
HEALTHCARE
First Reliable Engineering for Insurance

3. CASE
First Reliable Engineering for Insurance
Panzly
Flight insurance with automatic
immediate payouts
Business need:
Traditional flight insurance is full of claim processing that
takes weeks, paperwork, and waiting for the payout. It often
doesn’t cover all potential insurance cases and leaves
customers unhappy as customer experience is stressful and
inconvenient.
Solution:
Panzly is a solution for online and offline flight aggregators
and brokers, travel agents and tour operators, and airlines. In
partnership with insurance companies, it provides its users
with immediate payouts in case their flight was delayed for
2+ hours or canceled altogether, regardless of the reason.
Panzly monitors the flight status to pinpoint when a payout
is due.
INSURANCE
3

4. Panzly
Flight insurance with automatic
immediate payouts
Values:
Enhanced customer experience (no claims and waiting for
the payout)
A competitive advantage against traditional flight insurance
100% of declared insurance risks are covered by Panzly
Panzly is among 6 promising startups (InsurePost) and 5
finalists of the Disrupt Launchpad & Awards 2019
INSURANCE
First Reliable Engineering for Insurance
4

5. First Reliable Engineering for Insurance
inCover:
on-demand insurance
mobile app
Coverage for the chosen devices
only when needed
Business need:
Customers are dissatisfied with complicated costly insurance
plans that cover too many things. Apart from covering things
they don’t really care about, one more dissatisfaction factor is
paperwork and bureaucracy during claim processing.
Solution:
Our solution is a mobile app that allows its users to choose the
items they want to cover with insurance and turn on or off the
insurance whenever needed. The pricing depends on the items
chosen and their worth. The on-demand insurance covers theft,
loss, and accidental damage cases.
INSURANCE
5

6. First Reliable Engineering for Insurance
inCover:
on-demand insurance
mobile app
Coverage for the chosen devices
only when needed
Values:
Dynamic pricing based on the items chosen and custom settings
Stress-free claim processing, as easy as sending a message,
which contributes to excellent customer experience
Insurance can be turned on and off whenever needed
Swift
Firebase
Apple Push
Notification Service
Java
Android SDK
Google Cloud
Messaging
Artificial Intelligence
Deep Learning
OpenCV
Technology:
INSURANCE
6

7. First Reliable Engineering for Insurance
Calculator
for Insurance services
Business need:
Current insurance application is losing data without Internet.
Simple mobile applications can not handle high amount of
information. All existing tools for insurance calculation have
unclear interface and are difficult to use.
Solution:
Insurance mobile application allows you to see a complete
analysis of insurance rates and recommendations. Use this
calculator to determine the right coverage that best suits your
particular situation.
Fortifier is here to help carriers with all your insurance
calculator needs, whether you want to find the best option for
your clients.
INSURANCE
7

8. First Reliable Engineering for Insurance
Calculator
for Insurance services
Values:
The solution provides reports in one click
MetLife policy calculator allows insurers to perform calculations
on various types of insurance products depending on the data
about a potential client
This app puts data to the server over XML in order to generate a
quotation offer for a potential client and then sends it out to the
specified email address
Technologies:
HTML5
CSS3
Marionette.js
Node.js
jQuery
Require.js
INSURANCE
8

9. First Reliable Engineering for Insurance
Solution for SME
Platform for Insurance
Business need:
A high amount of competitors throughout different insurance
brokerages make it necessary to seek the new ways for rapid
and higher-quality interaction with clients.
Solution:
The platform allows to create a policy in a few minutes
according to your clients preferences. Simple way to serve and
support clients through the policy purchase automation.
This platform makes relations with clients more efficient and
helps brokers to achieve better results!
INSURANCE
9

10. 10
First Reliable Engineering for Insurance
Solution for SME
Platform for Insurance
Values:
Increase the amount of customers by 7 – 10% per year
Redouble customer retention rate
Save the time for Policy creation and processing
Technologies:
Spring Boot 2.0
AngularJS
Hibernate
SonarQube
Jenkins
Selenide
Java 8
Gradle
Selenoid
Git
Docker
MS SQL
Allure
INSURANCE
10

11. First Reliable Engineering for Insurance
AI Bot
Realize value from knowledge stockpiles
Business need:
Precious knowledge is wasted because professionals on the
front lines are too busy to search for it, can’t find it or don’t
know it exists. AI Bot finds content relevant to current business
priorities by scouring external and internal content sources,
such as news, collateral, and experts. AI Bot delivers the
information before important meetings and events so the user is
armed with the latest news and most current collateral.
Solution:
Analyze collected metadata to identify work priorities
for each user
Determine the optimal timing of content delivery
Learn and adapt to user preferences and feedback
Be sure! AI Bot — the delivery mechanism, designed to work in
any environment!
INDUSTRIAL AUTOMATION
11

12. First Reliable Engineering for Insurance
AI Bot
Realize value from knowledge stockpiles
Values:
Save up to 29% on salary costs thanks to the automotive
support without the workers involvement
Get the full information for immediate decision-making and next
steps planning
Serve the clients better to increase customer satisfaction level
and brand loyalty
Technical details:
Developed on Microsoft Bot Framework
White label options available
Delivered on Microsoft Azure Stack
Extensible architecture to meet the needs of the large enterprise
Meets stringent security and governance requirements
Celery Tornado Python 3.5
INDUSTRIAL AUTOMATION
12

13. 13
First Reliable Engineering for Insurance
Networking Solution
for the Industrial IoT market vertical
Business need:
Constant machines condition monitoring at the enterprises is
a time-consuming process. Delayed maintenance and repairs
lead to large expenses. Unexpected machine failures cause
huge financial losses.
Solution:
Sensors network integration and manufacture monitoring allow to:
monitor machines status 24/7 and react to any manufacture
delays promptly
decrease the workload level of the labour force and direct this
resources to more challenging tasks
plan expenses for the next budget period necessary for machine
service and maintenance
minimize expenses for unforeseen failures
INDUSTRIAL AUTOMATION
13

14. First Reliable Engineering for Insurance
Networking Solution
for the Industrial IoT market vertical
Values:
Saving up to 30% of current annual budget
Workforce reduction
HTML
CSS
AngularJS
Bootstrap
gulp.js
Increasing of manufacturing productivity,
thus enhance the income
Technologies:
Java
Apache Tomcat
Maven
Spring Boot
Raspberry Pi
INDUSTRIAL AUTOMATION
14

15. First Reliable Engineering for Insurance
Pattern Recognition
Text-recognition and auto filling forms and reports
Business need:
Invoice management process takes much time and requires
large workforce. A great amount of manual work is driving
companies to hire many workers for simple manual operations.
High information loss rate leads to failures in invoice
management and to the loss of profit.
Solution:
World’s digitalization helps SMEs to reduce manual work and
automate the majority of internal processes
Pattern recognition solution increases the speed of the
document processing via Artificial Intelligence & Machine
Learning techniques
User experience is quite simple. Just upload a document, click
the button to start recognition and all needed forms and reports
will be filled in automatically
INDUSTRIAL AUTOMATION
15

16. First Reliable Engineering for Insurance
Pattern Recognition
Text-recognition and auto filling forms and reports
Values:
The manager’s productivity is increased up to 17%
The data is stored in a correct way
Employees are not spending their time on simple
manual work
Technologies:
Python
NumPy
Matplotlib
PostgreSQL
Scikit-learn
Pillow
PyTesseract
INDUSTRIAL AUTOMATION
16

17. First Reliable Engineering for Insurance
Text and Image Recognition
for Database management
Business need:
A long process of data migration from the paper forms to the
digital storage and lack of information cause an inability to get
the needed records and manage the extracted data quickly.
Solution:
The system will allow to collect and add the information from
the paper. This program will make it possible to create a vast
database and to manage it in decision-making purpose.
INDUSTRIAL AUTOMATION
17

18. First Reliable Engineering for Insurance
Text and Image Recognition
for Database management
Values:
Staff productivity increased by 27%. The efforts and time that
your employees used to spend for manual entering of the
relevant data now can be utilized for focusing on core
competencies
Total cost spent on hiring manpower, printing, copying,
shipping charge, etc. was reduced by 30%
Errors minimization and increasing of data quality and data
management
Technologies:
Python 3
Django
AWS ECS
Elasticsearch
INDUSTRIAL AUTOMATION
18

19. First Reliable Engineering for Insurance
19
ApoThemis
Pharmaceutical CRM system
Business need:
Customer experience suffers as customers need to wait for
around three days to get the meds they need. The whole
process is also not customer-friendly as they need to pay at
least three visits: to get the recipe from the doctor, bring it to
the pharmacy, and get the drugs in a couple of days.
Solution:
ApoThemis is a CRM system that allows both pharmacies and
doctors to exchange recipes effortlessly and provide patients
with drugs faster and hassle-free. It conducts clinic screening
for each recipe to see if it suits the patient.
HEALTHCARE

20. First Reliable Engineering for Insurance
20
ApoThemis
Pharmaceutical CRM system
Values:
Faster recipe processing thanks to automation, which improves
customer experience
Minimized human error in terms of drugs’ suitability
for the patient
Less workload for the doctors and pharmacists
Technologies:
Ionic
HTML5
AngularJS
Gulp
HEALTHCARE

21. 21
First Reliable Engineering for Insurance
MedOne
Medical CRM for a better
doctor-patient relationship
Business need:
Mistreatment or unsuitable treatment are caused by lack of
enough medical information about the patient. On the other
hand, the inability to interact with doctors directly and fast may
put patients’ wellbeing at risk.
Solution:
MedOne is a social network-like CRM available to doctors and
patients. It includes messaging functionality available not only
between the patient and his/her doctor but among doctors and
patients in general. Patients can update their status and make
inquiries to various doctors and share videos.
HEALTHCARE

22. 22
First Reliable Engineering for Insurance
MedOne
Medical CRM for a better
doctor-patient relationship
Values:
Treatments and recommendations are based on the
exact patient’s needs and preferences
Reduced risk of mistreatment and increased probability
of the precise diagnosis
Easy to provide patients with support on a regular basis
and react to changes in their health condition
Technologies:
Python
Django
REST
Celery
PostgreSQL
RabbitMQ
AngularJS
HEALTHCARE

23. First Reliable Engineering for Insurance
Infectious Diseases
Management System
A novelty in identifying, tracking, managing,
and preventing infectious diseases
Business need:
Infectious diseases spread rapidly, and containing them is often
a challenge. Due to a lack of statistical data, governments
struggle to design effective strategies and policies to control
infectious diseases.
Solution:
Designed and developed for a particular region, this infectious
diseases management system collects medical data on
infectious diseases in the region and infected patients’ profiles.
It also provides instructions and recommendations for treating
and preventing these diseases.
HEALTHCARE
23

24. First Reliable Engineering for Insurance
Infectious Diseases
Management System
A novelty in identifying, tracking, managing,
and preventing infectious diseases
Values:
Statistical data visualized in charts and maps allows improving
their prevention and healthcare policies
Guidelines for patients increase the efficiency of infectious
disease prevention among the population
Health professionals can choose more accurate treatments
based on the guidelines and stats provided
Technologies:
Python
Django
REST
RabbitMQ
AngularJS
Celery
PostgreSQL
HEALTHCARE
24

25. 25
First Reliable Engineering for Insurance
Ontology
Natural language processing that turns
unstructured texts into CV
Business need:
Creating a structured CV is not a piece of cake as it’s easy to
skip or forget some details. Writing an autobiography is a lot
easier than a CV, and a poorly structured resume may reduce
the person’s employability.
Solution:
Ontology is a website that allows its users to write unstructured
text and turns it into a CV. It uses natural language processing
to pinpoint key data (personal information, education, skills) in
the text and put it where it belongs in the CV. The final CV can
be saved as a PDF file and is uploaded to the database.
RECRUITMENT

26. 26
26
First Reliable Engineering for Insurance
Ontology
Natural language processing that turns
unstructured texts into CV
Values:
A well-structured CV with no stress or hassle for the user
Java
Spring
HTML5
CSS3
Precise recognition of the key words, such as skills or
educational institutions
No details skipped or forgotten
Technologies:
JavaScript
AngularJS
PostgreSQL
Gate
RECRUITMENT

27. First Reliable Engineering for Insurance
CV Bank
Solution for effortless job hunting
and recruiting alike
Business need:
Recruiting takes precious time and resources. Companies’
recruiters have to browse countless websites and filter out the
best resumes manually. Due to the inconveniences and low
speed of the process, three-quarters of companies struggle to
find suitable candidates.
Solution:
CV Bank is not just a resume database. It is powered by machine
learning to automatically filter and sort potential candidates
based on the recruiter’s preferences and needs, thus providing
the most relevant results. Recruiters can search resumes by
keywords in any part of the resume, filter criteria, location, job
classification, qualifications, and more.
RECRUITMENT
27

28. First Reliable Engineering for Insurance
CV Bank
Solution for effortless job hunting
and recruiting alike
Values:
Less workload on recruiters in terms of finding the most
relevant candidates
Scikit-learn
Apache Zeppelin
mongoDB
AWS
Elasticsearch
Faster employee replacement, which means fewer losses from
an unfilled position
Easier to find the top talent suitable for a company
Technologies:
Scala
Python
AngularJS
Node.js
Spark
RECRUITMENT
28

29. LET’S
WORK
TOGETHER
Tell us more about your business
needs to help us serve you better
+ 1 650 772 4259
+ 49 157 397 58 408
Phone:
www.4tifier.com
E-mail:
sales@4tifier.com