Big Data Engineering

We manage and processing large volumes of data using technologies like Apache Hadoop, Apache Spark, Amazon EMR, Google Cloud Dataprep, and Microsoft Azure Data Lake.

Real-time Data Processing

We build systems for real-time data ingestion, processing, and analysis, often used in IoT and streaming analytics. Apache Kafka for data streaming, Apache Flink for real-time data processing, and cloud-based options like AWS Kinesis and Azure Stream Analytics.

Predictive Analytics

We utilise statistical and machine learning techniques to forecast future trends and outcomes based on historical data using python with libraries like Scikit-Learn, XGBoost, and Prophet for time series forecasting, and cloud-based solutions like Google Cloud AutoML.

Data modernization

We specialize in modernizing data operations on any cloud, including renowned application and infrastructure partners such as IBM, Adobe, AWS, Microsoft, SAP, and Salesforce. Seamlessly integrating your data across these platforms, we empower you to stay at the forefront of innovation and take full advantage of the capabilities offered by these industry-leading cloud providers.

Advance Analytics

We elevate your business with the latest advances in AI, machine learning, and automation to support the full data science lifecycle—from preparing and exploring data to building, deploying, managing, and monitoring models. Our goal is to empower you with cutting-edge technology, ensuring that your operations stay ahead of the curve and optimized for success.

Data Warehousing

We design, build, and manage data warehouses for efficient data storage and retrieval.