Smart HR analytics
By using ML-based monitoring of different factors of employees' behavior HR department received automatic evaluation and prediction of new employee's effectiveness after the probation and estimation of probability of layoffs.
Watch a video about Cyber Data Control features
ABOUT US
The main idea of the company is to make data mining a mass phenomenon.
Since the foundation of the company, we have not lost our leading positions in the technology market, working on projects that require in deep analysis.
Analyzing structured and unstructured data, building predictive models and training specialists in this area are only a part of our company's capabilities.
We believe that data mining - a new way of working with information that can become as familiar as using a text document or searching the Internet.
Python, Scikit learn, Numpy, Pandas, Revolution R, Azure ML, SPSS Climentine, Knime, Vowpal wabbit, CNN, LSTM, DNN, Café, Theano, Tensor flow, Rule based, Bag of words, TFIDF, Latent semantic analysis, Word2vec, Doc2vec, Spark, Hadoop, MlLib, AWS (Redshift)
Portfolio
CYBER DATA CONTROL has over 7 years successful experience in the AI market, over 45 projects for 10 industries: medicine and pharma - 6, banking -3, industrial production -5 , oil&gas- 7, IT - 3, security - 4, retail - 9, media -9, telecom - 5, logistics – 2.
Website view customization
- Self-learning machine explore customers behavior by changing website presentation that maximize the probability of purchase
- Client segmentation by a range of characteristics and personal offers generation
- Conversion grow Sales increase
Prediction of customers amount in supermarket for every day for the year
Based on the day-to-day historical data we develop the predictive model to a retail FMCG shop to optimize the amount of staff and working schedule. The prediction get's to precision over 95%.
Clients identification by voise
sample for lending institution and fraud prevention
Write-off mistakes identification
Automatization of the internal financial control function by ML-analytics of the write-off act and identification of untypical and suspicious operations
Computer vision - LookApp
Own CYBER DATA CONTROL technology get over 95% precision in clothes detection. The mobile application LookApp successfully identify clothes by photo and finds detected clothes elements in internet fashion retail stores.
Precision 95%
- People and cars detection
- Documents recognition and reading
Mobile neural networks
Video analysis in real time based on own CYBER DATA CONTROL C++ solution:
- 30-40% of 1 core capacity consumption
- less than 6% precision decline
OUR CERTIFICATES
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