our vision
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.
our values
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Artificial Intelligence shall serve people.
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Artificial Intelligence shall be aligned with human values.
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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.
Lessons learned
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.
Team
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.
We have
AI Developers
Analysts
Statisticians
Mathematicians
Research workers
Technology
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
AI tooling
Deep learning
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