Build the core of data-driven intelligent enterprises!
Build modern data foundations that unify data strategy, MLOps, and AI-driven governance to deliver trusted insights and power enterprise decisions.
What We Offer
Defining Modern Data Strategy
Design Thinking-led model engagement typically spanning 8-12 weeks depending on complexity where our consulting team partners with client stakeholders to define, design, and operationalize enterprise or BU-level data strategy focused on growth, efficiency, monetization, compliance, and AI readiness
Agentic/AI enabled Data Management
Our proven AI4Data offering leverages the recent GenAI led innovations to enable autonomous, self-healing data ecosystems with AI-driven governance, automated quality monitoring, and unified metadata and catalog services.
Insight & Decision Support
Integrate semantic layers, knowledge graphs, and decision intelligence-based data solutions to enable dynamic BI dashboards, accelerate Self-service user to transform enterprise data into actionable insights.
MLOps
Operationalize AI/ML workflows with governed pipelines, version control, and lifecycle automation. This also covers MRM programs that banks must deploy for their ML models in functions such as credit scoring, cross sell/up sell, risk modeling, liquidity assessment, etc.
Data Governance, Quality & Catalog
Embed data governance, data access right (RBAC) data lineage, and data quality monitoring and self-correction (where possible) into every data modernization layer. This offering also allows automated metadata capture to build technical metadata dictionaries to deliver data catalogs and business glossaries.
Master Data Management (MDM)
Implement multi-domain MDM solutions spanning Customer, Product, Vendor, Asset, and more while establishing golden records with robust survivorship rules to unify critical data, streamline migrations, and ensure a single, trusted source of truth across the enterprise.
Defining Modern Data Strategy
Design Thinking-led model engagement typically spanning 8-12 weeks depending on complexity where our consulting team partners with client stakeholders to define, design, and operationalize enterprise or BU-level data strategy focused on growth, efficiency, monetization, compliance, and AI readiness
Agentic/AI enabled Data Management
Our proven AI4Data offering leverages the recent GenAI led innovations to enable autonomous, self-healing data ecosystems with AI-driven governance, automated quality monitoring, and unified metadata and catalog services.
Insight & Decision Support
Integrate semantic layers, knowledge graphs, and decision intelligence-based data solutions to enable dynamic BI dashboards, accelerate Self-service user to transform enterprise data into actionable insights.
MLOps
Operationalize AI/ML workflows with governed pipelines, version control, and lifecycle automation. This also covers MRM programs that banks must deploy for their ML models in functions such as credit scoring, cross sell/up sell, risk modeling, liquidity assessment, etc.
Data Governance, Quality & Catalog
Embed data governance, data access right (RBAC) data lineage, and data quality monitoring and self-correction (where possible) into every data modernization layer. This offering also allows automated metadata capture to build technical metadata dictionaries to deliver data catalogs and business glossaries.
Master Data Management (MDM)
Implement multi-domain MDM solutions spanning Customer, Product, Vendor, Asset, and more while establishing golden records with robust survivorship rules to unify critical data, streamline migrations, and ensure a single, trusted source of truth across the enterprise.
Featured Case Studies
