We help you build innovative solutions based on your Big Data. We can help you make your vision a reality by clearly defining the requirements, performing exploratory analysis, prototyping, validating technical solutions, and delivering production systems. Our expertise includes:

Large-scale parallel computing environments such as Spark, OpenMP, MPI and CUDA as well as Deep Learning frameworks such as TensorFlow and PyTorch. Deploy trained models to cloud services such as SageMaker or Google Cloud AI.

Building Supervised and Unsupervised Machine Learning Models using Nearest Neighbor Methods, Boosted Trees, SVM, Convolutional and Recurrent Neural Networks, Pretrained Embeddings, Transfer Learning and AutoML.

Text collection, extraction and indexing (primarily Web and Social Media content), Natural Language Processing and building custom Knowledge Graphs. Build solutions from the ground-up using state-of-the-art models such as BiLSTM, BERT/Transformers and Graph Neural Networks.

Dimensional data modeling, developing custom ETL solutions, OLAP, Cloud-based Data Warehousing (such as RedShift or BigQuery) and integrating Apache Spark with legacy Data Warehouses (such as Teradata or Oracle). Graph data modeing and application developement using Neo4j.