Invests in technologies, teams and projects in
the AI space; Supplements and takes advantage of the technology company's data
Develops AI technologies; Creates and
compiles data for AI technologies; Operates the data management platform (DMP), DigiU's key
Specializing in project development and
financing. Working towards creating a digital copy of the human persona and a habitat for
its existence, integrating the person into the digital world.
The technological base of the company
The first stage
of development is laying a foundation for an environment in which data
gathering, analysis, and learning can take place based on the data prepared for DigiU's
Data Managment Platform
Big Data and Data
Science are the two fields of inquiry that underpin the processes of data collection
and the subsequent application of machine learning models to those datasets. The key tools used
in these processes are the Data Management Platform (DMP) and the Machine Learning Framework
Big Data (ETL, DWH, BI)
Data Science (ML/AI)
Machine Learning Framework
Overview of Big Data technologies
System level storage:
HDFS App level storage: Hive, HBase, GreenPlum,
Cassandra ETL: Kafka + M-R apps + NiFi processors Processing: Hadoop stack (M-R, Spark, YARN) Containerization: Docker + Helm + Kubernetes Monitoring: Grafana, Kibana, Prometheus BI with analytic: Qlick, Tableau, Power BI
Overview of Data Science technologies
Frameworks: KubeFlow +
AutoML, TensorFlow, Keras, Deeplearning4j, Caffe, XGBoost Ready-made
network architectures and pretrained networks based on them: MobileNetV2,
Yolov3, EfficientNet, and others
Overview of existing data sources
Open sources (examples): Mnist ImageNet CIFAR-10/100 COCO
(Microsoft) FashionMNIST (Zalando) Google audioset Visual
genome Billion words 2000 HUB5 English Evaluation
Transcripts Collections: Kaggle Kdnuggets MLData Sealed
sources: aidata.me amberdata.ru audience segments, advertising
campaigns on various bases.
The ecosystem encompasses fields of technology
that factor into the development of the digital persona. Each field contains an array of
subsystems that function as autonomous services and apps which have the potential for rapid
growth in user base and investment. The Ecosystem.
DigiU monetizes technologies in the following
Understanding meaning for conversations with
Extracting specific information from data
Creating social media content
Detection and diagnosis of medical conditions
Example of a technology and path to
Facial recognition time clock for employees
Обработка ествественного языка
Пример разработки и монетизации
Понимание смысла информации для ведения
диалога с человеком
Извлечение конкретной информации из потока
Создание контента для соц. сетей
The annual growth of the Artificial Intelligence
31% per year
The total size of the AI technologies market,
according to the Frost & Sullivan estimate for 2022
Widespread adoption of Artificial Intelligence
Growth of the global market of goods and services
Advantages of the AI market:
Through the accumulation of data and the implementation of the multiple DigiU ecosystem services.
In just 1.5 years of operation, over 50,000 participants from 180 countries have joined the project.
Why choose DigiU?
Our aim is to educate people about the possibilities and prospects of IT and AI, to teach relevant professions and to help people adapt to the new digital world.
DigiU is engaged in research and development in innovative technologies such as blockchain and artificial intelligence.
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2019 Q1 - Project launch.
2020 Q1. Q2 - Establishing a material base
and bringing together the team. Q3.Q4 - DMP and MLF development begins. In-house platform
2021 Q1.Q3 - Launch of pre-trained networks
and other models. Q4 - DMP and MLF prototypes ready. Technologies released to
2022 Q1 - DPM and MLF put to use. Q2 -
Release of generative, predictive, recommendation, and segmentation services and tools based on
DPM and MLF Q3 - Automated search and testing of models and services for use. Q4 - DPM
and MLF platform ready.
2023 Q1.Q2 - Bringing to market DMP and
MLF-based products and services. First dividends paid out.
Company registration number 1195476086740. Office 701, 48 Kirova street, Novosobirsk, Russia Email: