Our Top Clients
Trusted By Enterprises Building AI-Ready Data Foundations
From established enterprises to organizations preparing for AI, clients turn to DatAInfa when data becomes critical to the next phase of the business.
Real world outcomes
Data Transformation In The Real World
See what better data can change across oil & gas, pharma and retail programs that had to work under real enterprise pressure.
From Stalled MDM to 40% Higher Data Accuracy
40% higher data accuracy after rescuing an 18-month stalled MDM program — restoring trust for downstream analytics and operations.
Read the MDM StoryFrom Disconnected Supplier Data to a Trusted Supply Chain Foundation
Informatica MDM unified supplier and product data, strengthening compliance, reporting and procurement.
See the Pharma StoryTurn Fragmented Product Data Into Faster Launches
A centralized Product 360 and MDM foundation brought product data across 125+ brands into one trusted source.
See the Retail StoryWhy DatAInfa
The Work Between Data and AI is Where We Make The Difference
The architecture must work. The data must hold up. The systems must connect. DatAInfa brings enterprise data expertise, platform depth and delivery experience together to make complex transformation work in the real world.
We connect data management, governance, MDM, engineering, cloud modernization, analytics and AI — with deep expertise across Informatica, Microsoft, Salesforce, Databricks, Snowflake and leading cloud platforms.
Because AI cannot fix fragmented data, cloud does not automatically create governance, and transformation does not end at go-live.
Why DatAInfa
- 150+ Experts · Data, Cloud & AI
- 300+ Certifications across platforms
- 10+ Industries · enterprise experience
- 50+ Projects delivered
- 100+ Years combined experience
Compliance readiness
Assess Your Data Privacy Compliance Readiness
Evaluate your enterprise data against DPDP, GDPR, PDPL and other key privacy regulations and identify gaps that need attention.
Our capabilities
From Data Complexity to Enterprise Intelligence
Every transformation starts somewhere. We help you move from fragmented data to trusted foundations, connected systems, actionable insight and AI that can work at enterprise scale.
Enterprise Data Management
Know what you have, where it lives and what it means.
Data Engineering
Build the systems that collect, move, integrate and manage data at scale.
Data Insights
Transform trusted, connected data into visibility that supports better decisions.
Data Intelligence
Put data to work through AI and machine learning built for enterprise environments.
Keep Data Working
Extend platform value with monitoring, support, optimization and operational expertise.
Talent as a Service
Scale your data and technology teams with specialized talent aligned to your environment and delivery needs.
Technology & partners
Technology Capabilities Across The Modern Enterprise Stack
Platforms, cloud environments and technologies enterprises already run plus the expertise to make them work together.
What We Learn in Data & AI, We Build into the Next Project
30+ enterprise data accelerators built to reduce implementation effort, delivery risk and time to value. Don’t start from zero accelerate the work behind enterprise data.
See Our AcceleratorsIndustries
AI-driven Data Solutions For Every Industry
Pharmaceutical
Trusted data for regulated operations, supply chains, and better decision-making with DatAInfa.
Healthcare & Life Sciences
Connect patient, clinical, and operational data while strengthening governance and compliance.
Manufacturing
Bring product, material, and operational data together for connected, efficient operations.
Retail & FMCG
Unify product, customer, and supplier data across complex, multi-channel environments.
Banking & Financial Services
Build trusted customer data, stronger governance, and scalable data foundations with DatAInfa.
Hospitality
Connect guest, property, and operational data to improve experiences and efficiency.
Client voices
What Our Clients Say About Working With Us
Trusted by enterprises across banking, retail, media, and professional services.
A team that brings not only deep expertise but also remarkable ownership and collaboration throughout the project.
Not Sure Where to Start?
Share your data challenge and get a practical starting point from our enterprise data team.
The DataPedia Show
Real Conversations About Data, AI and What Comes Next
Watch the latest episode and explore practical discussions for enterprise data leaders.
Explore Datapedia ShowEnterprise Data Foundations Before AI Scale
Why trusted data, ownership and architecture decide whether AI programs survive beyond the pilot.
Events
Taking enterprise data conversations beyond the boardroom
DatAInfa at Data & GenAI Summit & Awards 2026, Mumbai
DatAInfa at the Salesforce Partner Summit
DatAInfa CPTO Shares Vision for Democratizing AI at AI Impact Summit Pre-Summit
FAQ
Questions Enterprise Data Leaders Ask
Still evaluating your data transformation needs?
Talk to a Data ExpertWhat does DatAInfa do?
DatAInfa is an enterprise data and technology company helping organizations manage, govern, engineer, modernize and activate data across the enterprise. Capabilities span data management, MDM, data quality, governance, data engineering, analytics, cloud and AI.
What is enterprise data management?
Enterprise data management is the practice of managing data across systems and business functions to improve quality, consistency, governance, accessibility and value — the foundation for reliable analytics, operations and AI.
What is Master Data Management (MDM)?
MDM creates consistent, trusted records for critical entities such as customers, products, suppliers and materials across enterprise systems — a reliable source of truth for business-critical data.
How do I choose the right Informatica implementation partner?
Look for proven Informatica experience across MDM, data quality, governance and integration — not certification alone. Delivery experience, reusable accelerators and post-implementation support also matter.
What should I look for in a data management consulting partner?
Expertise across governance, MDM, quality, integration and engineering — plus enterprise implementation experience and a clear path from strategy to measurable outcomes.
What should an enterprise data foundation include before scaling AI?
Reliable data, effective governance, scalable architecture, security and clear ownership. Assessing these early helps identify gaps before significant AI investment.
How can an enterprise move from AI experimentation to production?
Production AI needs governed data, scalable infrastructure, reliable AI engineering, security, monitoring and an operating model designed for adoption at scale — not only a successful model.
Trusted worldwide
Our valued clientele
Enterprises across pharma, retail, manufacturing and financial services trust DatAInfa with their most critical data programs.
Join 50+ enterprise programs delivered across industries.