Electrum is payment system software which provides financial transactions for non-banking institutions. System supports huge line of fiscal devices present on the

Ukrainian market for using the system. System supports big variety of external financial gates, which gives the possibility to provide payments to thousands of services. System includes Financial monitoring of all transactions according to the Ukrainian and international law.

The main focus of AGC’s system is on e-money and currency conversion.
The ability to form different workflows for different types of transactions.

GlobalMoney represents a universal software complex, which allows to make

transactions between financial organizations, business organizations and users at sale

of goods and provision of various services providers using electronic funds. System

complies PCI DSS standards.

Atvisor.ai is an AI-based digital health platform that supports assistive technology
assessments and the decision-making process.
Used by assistive technology professionals and end-users – people with disabilities,
the elderly, and their family members, it helps in structuring the decision-making process,
providing relevant ideas for assistive technology solutions and enables purchasing
of the selected products online.

Core.AI‘s mission is to bridge the gap between AI and humans.
Making AI accessible without the need to be a computer science expert.
Core.AI developed an algorithmic engine that guarantees better results within
a shorter research time while reducing expenses.
Core.AI building AI paradigms customized to user needs to train himself, bringing
his domain expertise.

The city of Paris conducts each year participatory budgeting in which inhabitants decide how to allocate part of the municipal budget. The city has roughly 100k paper ballots and 50k electronic ballots.

Mission
We worked closely with the organization to upgrade their application, using an innovative ballot system, and enhance the overall user experience. We automatically decoded the paper ballots using advanced computer vision-based algorithms.

Plate numbering recognition

Stanley Robotics is a startup that builds a robot lifting and
moving cars autonomously. Customers leave their vehicle in a
box and the robot takes care of it.

Mission
On a box, 5 cameras are picturing the license plate attached to a
car with high distortion. We designed machine-learning-based
algorithms to recognize the plate’s numbers. We build a dataset
with high-level annotations. We trained and evaluated our
algorithms on this dataset.
Finally, the models have been using cloud computing resources
to serve thousands of customers per day.

Evalmee is a startup that automatically oversees students during their examinations. They use a camera to assess whether a student is cheating or not.

Mission
We designed machine-learning-based algorithms to assess the probability that a customer is cheating. To scale with millions of frames, we used an ensemble of very lightweight deep-learning-based models. We build a dataset to evaluate our algorithms. We deploy our solutions on AWS.

LifeTec is a program that helps people with type 2 diabetes get out of the diabetes cycle,
by leading them to a diabetes-healthy lifestyle.
The company has tested and precise processes created by many years of experience and expertise.
These processes make it possible to act directly to change behavior, which leads to
a healthy lifestyle from diabetes.
The LifeTec program operates with an advisory committee of leading experts in the field of behavior,
health from diabetes, diabetes research, medication management and nutrition
directed at health from diabetes.

OS-Pro is a software solution which broadcasts by aggregating cellular channels from smartphones or the
embedded SIM cards of a video encoder. In 4 simple steps, it offers a reliable uplink for broadcasters and media
enterprises to deliver secure transmission by cascading the cellular power of multiple smartphones or a video encoder.