PARTNERING WITH LEADING TECHNOLOGY COMPANIES
WHAT WE DO
We design and implement complete Enterprise Data Science dedicated to your needs: AI, MLOPS, FEATURE STORE, CLOUD.
We deliver Data Lake & BI Platforms – enabling easy access and analysis of data across the company.
We help in Data Engineering, Visualization and Machine Learning.
Our areas of excellence in delivering AI Solutions:
WE DELIVER AI SOLUTIONS
Leverage AI to predict future demand to optimize logistics, supply and stock cost.
Advanced AI approach involving a models taking serious control of the inventory operations, with human checks.
AI-Powered trade promotion to drive sales by identifying the most relevant price and promotional content to offer to each customer.
Identify products that customers are most likely to purchase based on their purchasing history and behaviour.
Use ML to manage your supply chain automatically by studies multiple options before picking a specific, good one that maximize efficiency while meeting customer requirements.
PREDICT & PREVENT CHURN
Use AI to identify customers who are most likely to churn and predict the most optimal retention offers.
Fraud is perfect case for AI and has a long track record of successful use.
Use AI to detect issues in processes, quality, and equipment failures ahead of time and don’t waste time on hundreds of false alarms.
WE DELIVER MODERN DATA PLATFORMS
OUR SERVICES IN DATA SCIENCE
DATA SCIENCE OUTSOURCING
Rent our trusted engineers, part-time, full-time, fixed price, managed team for as long as you need.
Python, pySpark, Scala, SQL, 4GL
Kafka, Databricks, Airflow, Google Cloud Composer
Snowflake, Athena, Cosmos DB, Hive, Google BigQuery
ADLS gen2, HDFS, S3, Google Cloud Storage
AWS, Azure, GCP
PowerBI, Tableau, SSAS, SSIS, SSRS, SAS VA
DAX, M (Power Query)
SQL, Relational DB
Power Platform, Azure DevOps
Python, R, SAS, Spark, pySpark, Pandas, scikit-learn, XGboost, TensorFlow, MLlib, Hyperopt, SPSS, SQL
ML pipelines, Forecasting, Deep learning, AutoML
Azure: ML, Synapse
GCP: Vertex AI, BigQuery
MLflow, KubeFlow, Hopsworks, SAS
Kubernetes, Docker, ELK Stack, AKS, Graphana, Prometheus
GitLab, Jenkins, Azure DevOPS, DataOps
RHEL, SLES, Debian, Windows
MODERN DATA ANALYTICS
REAL-TIME MACHINE LEARNING
BI MIGRATION TO CLOUD
ML PRODUCTION WITH OPEN SOURCE
SAS INTEGRATION WITH OPEN SOURCE