Services
We provide intelligent solutions for our customers and support them with our best-in-class data scientists and software engineers.
#Project we do
Data integration / Building Lakehouses & Data warehouses
We work closely with our clients to understand their needs to come up with effective and pragmatic solutions tailored to their needs. We analyze the specific data integration and analytical requirements, propose appropriate processing architectures and technology stack, and build the solution for you in an end-to-end fashion (project-based), or we offer consultants that work as an integrated part of your internal team (time-and-material based).
Machine learning
We analyze the business requirements and expectations to find the most beneficial use cases with optimal value-for-money ratio, and focus on defining a PoC/MVP that would bring the most value to the customer. Then, we offer a variety of ways to optimize and productionalize these ML models so they offer real-time information to the business, and integrate them into the data-flow pipelines. Likewise, we develop MLOps pipelines so that the models always reflect the most recent data, and regression-test them on past data.
#Industries & Use Cases
Adtech
We performed optimization of integration of web traffic from various sites and built AI models to analyze ad feeds past performance to structure job postings to optimize conversion rates and costs.
Finance
We have built a metadata-driven data integration system based on Azure and Databricks for the integration of over 40 data sources with over 1000 tables to build an enterprise data warehouse (lakehouse). Afterward, we built AI models to estimate default risk, and identify opportunities for cross-sale and up-sale.
Predictive maintenance
We built a system for real-time malfunction prediction of industrial machines based on hundreds of different data streams from IoT sensors.
Energy domain
We built an on-prem Big Data system based on Hadoop that processes daily over 10 billion records from IoT smart meters and maintains data marts. We also created AI models for inference of missing data and identifying network topology bottlenecks in real time.
Manufacturing
We built a Databricks-based lakehouse for the integration of data from a variety of different factories in different geographic locations. With multiple indexing and querying mechanism (Cognitive search, Delta lake, Spark, etc.)
Video Streaming
Integration of web traffic, IoT streaming data from smart TVs, smartphones, and tablets, building models for churn prediction, etc.
Insurance
We designed a system for personalized car and truck insurance based on individual driving styles.
#Industries & Use Cases
Adtech
We performed optimization of integration of web traffic from various sites and built AI models to analyze ad feeds past performance to structure job postings to optimize conversion rates and costs.
Finance
We have built a metadata-driven data integration system based on Azure and Databricks for the integration of over 40 data sources with over 1000 tables to build an enterprise data warehouse (lakehouse). Afterward, we built AI models to estimate default risk, and identify opportunities for cross-sale and up-sale.
Predictive maintenance
We built a system for real-time malfunction prediction of industrial machines based on hundreds of different data streams from IoT sensors.
Energy domain
We built an on-prem Big Data system based on Hadoop that processes daily over 10 billion records from IoT smart meters and maintains data marts. We also created AI models for inference of missing data and identifying network topology bottlenecks in real time.
Manufacturing
We built a Databricks-based lakehouse for the integration of data from a variety of different factories in different geographic locations. With multiple indexing and querying mechanism (Cognitive search, Delta lake, Spark, etc.)
Video Streaming
Integration of web traffic, IoT streaming data from smart TVs, smartphones, and tablets, building models for churn prediction, etc.
Insurance
We designed a system for personalized car and truck insurance based on individual driving styles.
Technologies
Applied by our Experts
- Microsoft Azure and Amazon AWS Cloud
- Apache Spark
- Spark Streaming
- Kafka
- Python
- Databricks
- Relational databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle, etc.)
- Big databases (e.g., Hive, HBase, Kudu, MongoDB, Elasticsearch, etc.)
- Visualization tools (e.g., PowerBI, Tableau, Grafana, etc.)
Technologies
Applied by our Experts
- Microsoft Azure and Amazon AWS Cloud
- Apache Spark
- Spark Streaming
- Kafka
- Python
- Databricks
- Relational databases (e.g., SQL Server, PostgreSQL, MySQL, Oracle, etc.)
- Big databases (e.g., Hive, HBase, Kudu, MongoDB, Elasticsearch, etc.)
- Visualization tools (e.g., PowerBI, Tableau, Grafana, etc.)
Take the next step
Let’s set up an introduction call so we can get to know each other and see how we can bring value to your business.
Let’s talk form
We are pleased to receive your request, analyze it and then come back to you with a proposal.