Data & AI
Overview
We help you monetize and unlock the true value of your data.
Our 5-step data framework addresses the full cycle from data engineering to compliance to insights generation. We follow a pragmatic approach to help you maximize your ROI. Our principles of customer centricity and frugal innovation ensure that your data assets actively accelerate your AI & digital transformation initiatives in an incremental fashion that doesn’t need to wait for a big bang approach.
How We Bring the Data Lifecycle to Life
Data Strategy
Leverage decision insights from data derived out of a solid foundation. Our AI Agent collaborates seamlessly with your Data team, amplifying their capabilities. Together, they decode complex datasets, uncover hidden patterns, and fuel strategic decisions.
Data Ops
Create resilient and effective data pipelines. We address the actual integration of data sources, people and processes, to create modern data lakes and/or warehouses. Our data architecture approach does not succumb to theoretical debates but focuses on delivering a cost-effective, scalable, and automated data fabric that can drive real-time insights and closed-loops that result in responsive business operations.
Compliance and Security
Reduce risk of data loss and privacy from the ground up. We address the important issues of data privacy and data loss in our data architecture. We do a top-down analysis of both internal and external user needs to derive the necessary data privacy rules, regulate sensitive data management, and achieve secure data exchange between sources. This approach limits risks and prevents breaches by supporting it with the right technology application portfolio strategy.
Insights Generation
Generate insights that are not just predictive but also prescriptive. Build the right BI dashboards and AI analytical models to meet the business needs in an incremental fashion. We leverage our partner tools and use machine learning (ML), NLP etc. To allow clients to derive the right insights and gain competitive advantages. We develop and implement fully functional models on large data volumes (structured/ unstructured, legacy, the cloud, big-data based etc) and bring decision making to strengthen the business objectives.
Insights Operationalisation
Making sure the insights are internalized into the right business processes. Allow operations and digital applications to use the insights generated so that we can improve operations and customer experiences. This requires a comprehensive view of not only the business processes but also the technology applications portfolio and architecture. We create the right API or other integrations to ensure that every aspect of your operations is connected.
Data Strategy
Leverage decision insights from data derived out of a solid foundation. Our AI Agent collaborates seamlessly with your Data team, amplifying their capabilities. Together, they decode complex datasets, uncover hidden patterns, and fuel strategic decisions.
Data Ops
Create resilient and effective data pipelines. We address the actual integration of data sources, people and processes, to create modern data lakes and/or warehouses. Our data architecture approach does not succumb to theoretical debates but focuses on delivering a cost-effective, scalable, and automated data fabric that can drive real-time insights and closed-loops that result in responsive business operations.
Compliance and Security
Reduce risk of data loss and privacy from the ground up. We address the important issues of data privacy and data loss in our data architecture. We do a top-down analysis of both internal and external user needs to derive the necessary data privacy rules, regulate sensitive data management, and achieve secure data exchange between sources. This approach limits risks and prevents breaches by supporting it with the right technology application portfolio strategy.
Insights Generation
Generate insights that are not just predictive but also prescriptive. Build the right BI dashboards and AI analytical models to meet the business needs in an incremental fashion. We leverage our partner tools and use machine learning (ML), NLP etc. To allow clients to derive the right insights and gain competitive advantages. We develop and implement fully functional models on large data volumes (structured/ unstructured, legacy, the cloud, big-data based etc) and bring decision making to strengthen the business objectives.
Insights Operationalisation
Making sure the insights are internalized into the right business processes. Allow operations and digital applications to use the insights generated so that we can improve operations and customer experiences. This requires a comprehensive view of not only the business processes but also the technology applications portfolio and architecture. We create the right API or other integrations to ensure that every aspect of your operations is connected.
Our AI Labs
Embark on an AI journey in our cutting-edge lab. Collaborate with trailblazing researchers, explore breakthrough algorithms, and ignite innovation. From concept to reality, our AI lab empowers you to lead the future.
Ideation Playground
Our AI Labs buzz with creativity. Brilliant minds converge, ideating solutions that disrupt markets. From chatbots to AI agents, we dream big.
Product Alchemy
Here, ideas crystallize into tangible products. Our AI Labs transform concepts into reality, rigorously testing and refining until perfection.
Enterprise-Validated Innovation
Before launch, we partner with enterprises. Their stamp of approval ensures our products meet real-world needs. No guesswork—just validated success.
Not Sure Where to Start?
Speak to our industry leaders, who have led AI and digital transformation at leading technology companies, with a track record of delivering innovative solutions and business growth to global enterprises including Fortune 500 companies.
