What exactly are we doing?
Every project, especially large projects, requires a double check approach.Therefore, we
thoroughly treat the choice of platforms and technology stack, work out the architecture, make
prototypes, test user flow before we proceed to development.
We consult, study
the market, invest
If necessary, we are directly involved in the formation
of business ideas and final products, often investing in projects not only our
experience, but also money.
we develop solutions
Server solutions in PHP, Node.js and various frameworks
using any databases.Our specialists are responsible for the entire cycle: the choice of
server platforms, devops, administration and support of backend segments, API
development.
MAking large
web applications
We do not deal with corporate websites or small
projects, but we have accumulated vast experience in the development of large portals
with a branched architecture and high loads.
WE make mobile
applications
Depending on the project goals, it can be a native
application in Kotlin and Swift, or a cross-platform solution in ReactNative or Flutter.
Q&A, and provide further
support for the project
Automatic tests of the program code and its detailed
documentation allow building flexible and reliable solutions that are easy to maintain
and integrate with other services.
We create and manage
server architecture
To operate our projects, we use both our own data
centre and third-party cloud solutions managed by professional DevOps engineers.
We consult, study
the market, invest
If necessary, we are directly involved in the formation
of business ideas and final products, often investing in projects not only our
experience, but also money.
we develop solutions
Server solutions in PHP, Node.js and various frameworks
using any databases.Our specialists are responsible for the entire cycle: the choice of
server platforms, devops, administration and support of backend segments, API
development.
MAking large
web applications
We do not deal with corporate websites or small
projects, but we have accumulated vast experience in the development of large portals
with a branched architecture and high loads.
WE make mobile
applications
Depending on the project goals, it can be a native
application in Kotlin and Swift, or a cross-platform solution in ReactNative or Flutter.
Q&A, and provide further
support for the project
Automatic tests of the program code and its detailed
documentation allow building flexible and reliable solutions that are easy to maintain
and integrate with other services.
We create and manage
server architecture
To operate our projects, we use both our own data
centre and third-party cloud solutions managed by professional DevOps engineers.
Therefore, we are proud
of our projects:
Bike.net
A super application for motorcyclists that includes a social
network, marketplace, messenger, model database, navigation system, trip tracker, points
of interests, and a catalogue of routes for motorbike companies. The project is
implemented as a web app and native apps for iOS and Android.
Arthive
A platform for artists and collectors, an art marketplace that
includes a SaaS solution for galleries and creators to manage sales, customers, art
collection. Implemented as a web app and native apps for iPhone, iPad and Android.
BAT
A large global company that actively uses the latest IT
developments for daily operations. Products created at Inforotor help to optimize
processes, saving significant time of employees and allowing to control results of
operations at each step both by own personnel and third-party suppliers.
Also AdNews, SmiLOG, Arthive.Sites and many more
Also, we're proud of our technologies
1
Computer vision
and object recognition
and object recognition
For the Arthive project, we developed the IdentifArt
system,
a
neural network with an index of several hundred thousand images that allows you to
recognize
works of art from their photographs. We widely use this product in other projects
where
computer vision and object recognition are required.
2
Data mining, text classification and clustering
Text classification allows determining the topic and
content of a text based on the TF-IDF algorithm. We have developed our own
three-level classifier covering over 180 categories. Clustering enables the
identification of text duplicates based on their semantic meaning, even excluding
significantly edited duplicates. This technology is used for news topic detection
and categorization of internal company documents.
3
Linguistic technologies
Our software identifies objects, their relationships,
and facts about them in texts. We use linguistic constructs in our language to
analyze facts such as dates of birth, positions, moves, company events and more. We
offer a simple programming language to extract syntactic-morphological sequences
from natural language texts. No special programming skills are required to work with
our system.
4
Content personalization
We use behavioral technologies based on self-learning
algorithms and neural networks to personalize content and recommendation systems.
Based on user interest history, this technology allows us to recommend the most
relevant articles, products, or actions at specific times and days of the week. All
data is stored in an anonymized format and complies with GDPR requirements. This
technology was first implemented in the Adnews project and is now applied in
numerous products, including the Arthive project for recommending interesting
artworks to users.
1
Computer vision
and object recognition
and object recognition
For the Arthive project, we developed the IdentifArt
system,
a
neural network with an index of several hundred thousand images that allows you
to
recognize
works of art from their photographs. We widely use this product in other
projects
where
computer vision and object recognition are required.
2
Data mining, text classification and clustering
Text classification allows determining the topic and
content of a text based on the TF-IDF algorithm. We have developed our own
three-level classifier covering over 180 categories. Clustering enables the
identification of text duplicates based on their semantic meaning, even
excluding
significantly edited duplicates. This technology is used for news topic
detection
and categorization of internal company documents.
3
Linguistic technologies
Our software identifies objects, their
relationships,
and facts about them in texts. We use linguistic constructs in our language to
analyze facts such as dates of birth, positions, moves, company events and more.
We
offer a simple programming language to extract syntactic-morphological sequences
from natural language texts. No special programming skills are required to work
with
our system.
4
Content personalization
We use behavioral technologies based on
self-learning
algorithms and neural networks to personalize content and recommendation
systems.
Based on user interest history, this technology allows us to recommend the most
relevant articles, products, or actions at specific times and days of the week.
All
data is stored in an anonymized format and complies with GDPR requirements. This
technology was first implemented in the Adnews project and is now applied in
numerous products, including the Arthive project for recommending interesting
artworks to users.
And our team
Our team consists of highly qualified engineers, developers, designers and
product specialists. We know how to make complex projects, keep trade secrets and achieve
results.
Contacts us
Are you thinking about a new project to change the world? Have you
already
made a project that needs professionals to grow? Write to us about your ideas and we will try to
help!