the Quadrical Ai Data
We at Quadrical Ai are Data-Engineers, with a ‘Business First’ attitude. Founders, Dr. Hugh Hind and Sharat Singh, have broad and deep experience in making your data clean, complete and in context.
We do this by cleansing, shaping, and preparing data from multiple sources with a validation guarantee – keeping it, from polluting the Data Lake. ACID transactions at massive scale to/from the Data Lake, are allowed through Connectors, while RealTime streaming architecture features server-less compute for scalability and faster insights. This Data Lake is designed to scale from low (few Terabytes) to really large scale with options for auto-archival.
We know that competitors, just do a ‘bring data, ETL and dump,’ instead of offering an extensible, server-less compute.
Our compute infrastructure is also fully integrated with Azure CI/CD, allowing Data Scientists to become smarter by being able to schedule-batch RealTime ML tasks, directly in our server-less compute infrastructure, and also extend (or even add) existing ETL and API, as well as extractions, on-the-fly.
Finally, external Reports (which’ll allow for ‘Applied AI’ Analytics in RealTime) go through a live connector to Power BI.
Cost: As you deserve value for your spending, Quadrical Ai uses an optimal blend of managed and open-source technology (no vendor lock-in), which offer the best fault tolerance and reliability. For future extensibility, flexibility and cost considerations, ask us about our Hybrid cloud and On-premise options.
Our Azure Data Lake PoC.
Real Time Unique Reports/Insights, powered by your own data
Consolidated view from Multiple Sources of your business’s data
Schema Validation to ensure your Data Lake is always sacrosanct
Scalable infrastructure with automated CI/CD pipelines
AI ready to allow you to further drive business value quickly…