Trusted Data Foundations
For Enterprise AI,
Analytics &
Transformation.
Your AI initiatives are only as powerful as the data behind them. XFactr.ai builds trusted, secure, AI-ready data foundations through Master Data Management, Data Governance, Data Lineage, and Enterprise Data Security.
Most Enterprises Don't Have A Data Problem.
They Have A Data Trust Problem.
Enterprises have ERP systems, CRM platforms, data warehouses, and AI platforms. The data exists. The infrastructure is in place. But AI projects stall, analytics outputs are questioned, and every team has a different revenue number.
The problem isn't volume - it's trust. Without trusted data, no AI system produces decisions the business relies on.
Master Data Management Services
One Trusted Source of Truth Across Enterprise Systems
What we deliver
- ✓ Golden Record Creation
- ✓ AI-Powered Entity Resolution
- ✓ Customer 360 MDM
- ✓ Product Data Synchronization
- ✓ Real-Time MDM Sync
Enterprise Data Governance Services
Make Enterprise Data Trusted, Discoverable, and AI-Ready
What we deliver
- ✓ Framework Design
- ✓ Ownership & Stewardship
- ✓ Metadata Management
- ✓ Data Quality
- ✓ Policy-as-Code
Data Lineage & Metadata Management
Understand Every Data Journey - Source to AI Output
What we deliver
- ✓ End-to-End Lineage
- ✓ AI Model Lineage
- ✓ Classification
- ✓ Impact Analysis
- ✓ Audit Trails
Enterprise Data Security
Secure the Data That Powers Your AI Systems
What we deliver
- ✓ Zero Trust Architecture
- ✓ Masking & Tokenization
- ✓ Private LLM
- ✓ RBAC for AI
- ✓ AI Access Monitoring
| Capability | Governance Tool Vendors | Pure Consultancies | Generic System Integrators | XFactr.ai |
|---|---|---|---|---|
| AI-native governance design | ✕ | – | – | ✓ |
| AI-powered MDM entity resolution | ✕ | ✕ | – | ✓ |
| Data engineering depth | ✕ | ✕ | – | ✓ |
| Governance built into pipelines | – | ✕ | – | ✓ |
| Zero-trust AI security architecture | ✕ | ✕ | – | ✓ |
| Outcome-focused delivery | – | – | – | ✓ |
| Post-delivery managed services | ✕ | ✕ | – | ✓ |
AI-First Governance
Governance designed for Generative AI, AI agents, RAG, and enterprise copilots from day one.
Engineering + Strategy
Data engineering, cloud, analytics, platform architecture, and AI engineering in one delivery team.
Business Outcomes
Focused on faster AI adoption, higher data quality, fewer incidents, and audit-ready compliance.
We Use AI to Govern AI
Automated classification, lineage, and anomaly detection continuously protect enterprise data.
Platform-Genuine Experience
Production delivery across Snowflake, Databricks, Microsoft Fabric, and BigQuery.
Deep Industry Domain Knowledge
Experience spanning healthcare, manufacturing, energy, finance, retail, insurance, and supply chain.
AI Projects Fail More Often From Data Problems Than Model Problems
Trusted, governed, secure data is the single most important engineering decision an AI programme makes. Organizations succeeding with enterprise AI invested in their data foundation before their models.
- GenAI RAG answers grounded in governed, deduplicated master data
- Agentic AI bounded by Zero Trust data security architecture
- Enterprise AI Search finding governed, metadata-tagged content
- Predictive ML models trained on clean, consistent master data
- AI Copilots that never expose sensitive data to unauthorized users
Generative AI (RAG)
RAG answers are only accurate when the retrieval layer pulls from governed, deduplicated master data - not five conflicting versions across ERP and CRM.
Agentic AI
AI agents taking autonomous actions need hard data boundaries - enforced by Zero Trust architecture, not application-level controls that can be circumvented.
Enterprise AI Search
AI-powered enterprise search is only useful when the metadata layer is governed - users find the right document, not 140 versions of it.
Predictive Analytics
ML models trained on master data with consistent entity resolution produce dramatically better forecasts than models fed raw, duplicated source data.
Built on platforms enterprises already trust.
Data Governance & MDM for the Industries We Serve
Governance requirements differ by industry. Our solutions are built around your sector's specific data complexity, regulatory requirements, and AI readiness challenges.
IoT Governance & Operational Data Security
- Zero-trust OT-IT data isolation - AI analyzes plant data without exposing control systems
- Sensor data lineage from thousands of IoT endpoints to predictive AI models
- Asset master management linking equipment IDs across maintenance, IoT, and financial systems
Product MDM & Industrial AI Readiness
- Unified product master across multiple ERPs after acquisitions - AI-based matching in weeks
- Data quality governance for production data feeding predictive maintenance models
- Bill-of-materials hierarchy management across global manufacturing operations
Asset Master & AI Data Lineage
- Unified asset master linking equipment IDs across 15,000+ wells - one record for AI and financial systems
- Lineage tracking for sensor data feeding multi-modal diagnostic AI models
- Data security architecture for operational data accessed by field AI applications
Compliance, Auditability & Data Transparency
- Full lineage from source system to AI-generated report - every number explainable to regulators
- Customer MDM across banking, lending, and wealth management systems
- Risk data governance for AI-driven credit and fraud detection models
Customer 360 & Product Data Sync
- Single customer master across e-commerce, POS, CRM, and loyalty - accurate AI personalization
- Product data synchronization across sales channels and supplier systems
- Supply chain data governance for demand forecasting and inventory AI models
Project Data Governance & Asset Intelligence
- Unified project and asset master across multiple field management and ERP systems
- Data quality governance for subcontractor and materials management data
- Lineage and audit trail for AI-driven project cost and risk predictions
Trusted by industry leaders.
Hulet Smith
CEO, RehabMart.com
XFactr.ai did not just build technology for us. They helped transform how we think and how we grow.
Rick Szczodronski
CPO, Building Data Company
An amazing service! and The cloud migration project was seamless by making the process more easier.
John M
CEO, Landscaping Company
The Tech team is very responsive and they made sure we understood everything along the way.
AI Engineering Company. Built Since 2017.
XFactr.ai is an AI Full-Stack Engineering Company founded in 2017. We combine Generative AI, Agentic AI, Data Engineering, Analytics, Cloud Engineering, and Edge Intelligence into one team - helping enterprises build and operate production AI systems.
We are not a governance consultancy. We are an engineering company that builds the data foundations - MDM, lineage, security, governance - as an integral part of every AI and data programme we deliver.
Offices in Bangalore and Mangalore, India and Atlanta, Georgia USA. Clients across energy, manufacturing, oil & gas, maritime, retail, financial services, and construction.
Real Governance & MDM
Problems – Solved in
Production.
Four ERPs with different product catalogs prevented AI forecasting.
Unified golden record using ML entity resolution.
Audit teams couldn't trace AI-generated reports.
End-to-end lineage from ERP to AI reports.
Duplicate customer records across systems.
Real-time Customer 360 master with AI-ready identities.
Governance connects data, AI, engineering, and enterprise operations.
Got Questions? We Have Answers.
Everything you need to know about our Enterprise AI & Data Services.
AI & Data Services combine artificial intelligence, machine learning, and data engineering to help enterprises turn raw data into automated, intelligent decision-making across the business.
Enterprise AI refers to AI systems designed for production use across an organization - built with the security, governance, scale, and reliability that large businesses require.
Agentic AI describes autonomous AI agents that can plan and execute multi-step tasks and workflows with minimal human intervention, going beyond simple chat-based assistance.
Generative AI helps enterprises automate content creation, accelerate software development, power intelligent assistants, and unlock insight from unstructured data at scale.
AI investment drives measurable outcomes: lower operating costs, faster decisions, improved customer experience, and new revenue opportunities that compound over time.
Manufacturing, healthcare, retail, financial services, energy, logistics, and the public sector all see measurable gains from enterprise AI and data initiatives.
Timelines vary by scope, but most enterprise AI initiatives move from strategy to a production pilot within 8–16 weeks, with scaled rollout following in phases.
Cost depends on data readiness, use case complexity, and scale. XFactr.ai scopes every engagement around a measurable ROI target before implementation begins.
Data engineering is the discipline of building the pipelines, storage, and infrastructure that collect, clean, and deliver reliable data for analytics and AI.
A modern data platform is a cloud-native architecture - typically a lakehouse - that unifies structured and unstructured data for both analytics and AI workloads.
AI improves operations by automating repetitive tasks, predicting failures before they happen, and giving teams real-time visibility into performance and risk.
Yes. XFactr.ai builds AI integrations with major ERP and CRM systems, allowing AI-driven insights and automation to work directly within existing enterprise workflows.
Enterprise AI solutions are built with role-based access, data encryption, audit logging, and governance controls to meet enterprise security and compliance requirements.
XFactr.ai delivers AI and data solutions on Azure, AWS, Google Cloud, Snowflake, and Databricks, selecting the platform that best fits each enterprise's existing ecosystem.
We embed governance through model documentation, bias and explainability testing, access controls, and ongoing monitoring across the AI lifecycle.
XFactr.ai has deep delivery experience in manufacturing, healthcare, retail, financial services, energy, logistics, and public sector environments.
XFactr.ai pairs enterprise AI strategy with hands-on data engineering and AI development - delivering production-ready systems, not pilots that stall after proof of concept.
Build The Trusted
Data Foundation
Your AI Future
Requires.
Whether you're modernizing legacy systems, improving governance, securing sensitive data, or preparing enterprise data for AI, XFactr.ai helps you move from fragmented information to trusted intelligence.