Hear our CEO Praveen Kankariya explore the challenges in creating a unified view of enterprise data, an essential building block for information-driven decision making, and the advent of an AI-driven future.


A single version of truth continues to elude the enterprise due to multiple information sources functioning in silos. The confusion arising from hundreds of point solutions has added complexity that needs to be simplified.

Build a solid foundation for your data-driven enterprise.

You can focus on your business while we bring in the best available solutions and services to solve the data, AI and analytics puzzle.


Automatic conversion of ETL and EDW to cloud

Out-of-the-box transformation accelerators for Teradata, Netezza, Ab Initio, Oracle and other legacy data warehouses

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Experience automated cloud-native transformation

Assess legacy code and view transformed ETL, data warehouse and analytics

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Unified data pipeline platform for data integration and engineering

Ingestion, CDC, streaming analytics, ETL, data prep, ML, advanced analytics, and more

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Cloud enablement and adoption

Leverage best practices and accelerators for cloud adoption, implementation and ROI

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Data lake implementation and management for unified data access

Build a scalable, secure, fast, and governed data lake with speed and agility

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Advanced analytics and AI

Build and deploy scalable data science and AI models across platforms leveraging multiple data sources

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We enabled

5x improvement in delivery time and fault-free production

Fortune 500 multi-national automaker

End-to-end AI-based predictive maintenance analytics solution

Single pane to monitor all the assembly lines

Real-time notifications for tool replacement

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Transformation of Informatica workflows and Oracle EDW to a cloud-native and open source stack

Top 100 American bank

Saved 50% cost and time compared to manual transformation

Retained existing business logic and process flows on the AWS platform

Established frameworks for cloud-native CI/CD and data governance

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2x faster application deployment with Kubernetes in a multi-cloud environment

Leading CRM software

~50% cost savings

Rapid scalability with 2x faster start-up time for containers

360-degree visibility of infrastructure, platform, and application metrics

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Prevention of a legacy data lake renewal with Google Cloud Platform

Fortune 500 healthcare service provider

Expedited migration from on-premise CDH-based data lake

65% reduction in turnaround time with scalable GCP solution

85% less maintenance cost

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