We turn the latest AI research to production. We build digital twins for manufacturing, health care and day to day life. We want to create solutions that make the world a better place.
Artificial Intelligence shall serve people.
Artificial Intelligence shall be aligned with human values.
Artificial Intelligence shall make world a better place for everybody.
cooperation in applied research
We closely co-operate with top-class universities and organisations that support innovation and applied research. We track the latest technologies, explore them and leverage them.
It is hard to turn any software solution from prototype to production. Turning any AI algorithm from lab solution and ideal data to practical solution on real data is even harder.
Our core team is made up of top architects, researchers, AI developers, mathematicians, and subject matter experts. People with open mind, not afraid of innovation, risking and learning from other colleagues, and of their own mistakes.
Main technology stack
Programming languges - Python, Java, Scala
Python libraries - Pandas, Numpy, Scikit-learn, SciPy, Seaborn, Pyplot, PySpark, OpenCV
Big data - Hadoop ecosystem (Apache/Cloudera, HDFS, Parquet, Avro, Ambari, Zepellin, Hive)
Deep learning - Tensorflow, Keras, H2O
Data streaming - Spark, Storm, Kafka, Spark ML, MapReduce
Research platforms - Python, R, Matlab, ILog CPLEX
Data streaming - Kafka, Fluentd, Mosquitto
NoSQL storage - Influx, OpenTSDB, Elastic, Redis
AWS Lambda, S3
PCA, SVD, auto encoder, clustering, correlation analysis
Stochastic processes and bayesian inference
Bayesian data assimilation, ensemble kalman filtering, particle filters
SVM, SVR, gradient boosting, XGBoosting
Neurodynamic programming, stochastic machines
Convex optimization, quadratic optimization