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Velocity, variety, veracity, and volume of data have exploded over the years. The use of the data has been broadly consistent for the top line or bottom line improvement and compliance. But the complexity of data and operational costs have skyrocketed because of high licence cost for different tools, integration and hard dependence on IT and scarce data resources such as System admins, Data Engineers, and Data Scientists to clean and engineering data.
Every product idea starts with a personal struggle with something. Quantumics.AI founder, Shen Pandi, having worked in the data industry and consulting firms for a decade, found no single SaaS solution in the market to extract value from data with self-servicing capability (ingest, cleanse, engineer, automate, govern with storytelling capability). The need to solve this problem became pressing after working with various clients in different industries who had the same problem;
hence there was a desperate need for a better solution.
No-code enterprise data platform of the future is here.
To address this problem, we decided to build Quantumics.AI as a self-servicing data platform to enable non-technical business users to extract value from data within hours without depending on the IT and data resources. We are a global team with strategic experience and hands-on expertise from blue-chip firms such as McKinsey & Co, Amazon, EY and startups.
We are a bootstrapped startup that has built a great product backed by persistence, hard work, grit, and a working culture with a growth mindset.
Ready to see what
we've been upto?
User management by project
API and more
Compliance against rules
Drag-drop data wrangling
Upto 50 rules
No manual work
Drag drop data pipeline
Aggregation and Sorting
Automation of cleansing and engineering
Re-run with new/refreshed data
Business Glossary with ownership
DQ rules at the attribute level, tag cloud
Slice and dice dashboard
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