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Xfactr.ai

Modern Data Platform Services

One Enterprise Data Platform.
Unlimited Business Intelligence.

Every organization collects data. Very few truly connect it. Your ERP, CRM, manufacturing systems, cloud applications, IoT devices, customer interactions, and business documents all hold valuable insight but when they stay disconnected, AI, analytics, and decision-making all become fragmented.

XFactr.ai designs modern enterprise data platforms that unify every data source into a secure, governed, AI-ready foundation for intelligent business.

Our Decade long experience, validated in numbers

8+

AI Agent Live in Production

Hr->Min

PO processing Time Reduction

Zero

Added Head Count as Scale

95+
Customer Satisfaction
1->8+

Agents Scaled from First Diployment

A Familiar Picture

Does your enterprise look like this?

Most organizations don't have a data problem because they lack data. They have a data problem because their data lives in twenty different places, each with its own version of the truth.

ERP
CRM
SAP
Oracle
Salesforce
IoT
Documents
Cloud Apps
Different Clouds
Acquired Companies
Separate Warehouses
Shadow IT

How many versions of the truth exist across your finance, sales, and operations teams right now?

How long does it actually take to answer one straightforward executive question with confidence?

Why do most AI projects spend 80% of their time just preparing data before a model ever sees it?

Trusted by Leading Enterprises

Our Approach

We don't start with tools. We start with a vision.

Before we talk about lakehouses or pipelines, we talk about what your business needs to be able to see, decide, and act on. The platform follows from that vision not the other way around.

Connect
Unify
Standardize
Govern
Activate
Improve

This is a continuous cycle, not a project with an end date. The platforms that stay valuable are the ones designed to keep improving as your business, your data sources, and your AI ambitions change.

Split Layout - AI & Data
Enterprise AI & Data

Build an Intelligent Enterprise
From Data to Decisions

Design modern data platforms, integrate enterprise systems, and deploy AI-ready architectures that transform operations with measurable business outcomes.

01

Enterprise Data Platform

Modern lakehouse architecture with governance and cloud-native scalability.

02

AI Platform Enablement

RAG, copilots, enterprise search and production-ready AI solutions.

03

Integration & APIs

Connect ERP, CRM and operational systems using secure APIs and events.

04

Governance & Security

Metadata, lineage, compliance and enterprise-grade security controls.

Data Lakehouse

Snowflake · Databricks

AI Agentic AI

RAG · LLMs · Copilots

Enterprise AI Core

AI Platform

Data • AI • Integration • Governance

Integration Enterprise APIs

Kafka · GraphQL · REST

Governance Security

Metadata · Lineage

Technology Ecosystem
Technology Ecosystem

We're not tied to one stack we're tied to what works.

XFactr.ai is platform agnostic. We recommend technologies based on your workload, budget, architecture, and engineering team's existing expertise.

Cloud

AWSAzureGoogle Cloud
🗄

Data Platforms

SnowflakeDatabricksMicrosoft FabricBigQuerySynapseRedshiftDelta LakeApache Iceberg
🤖

AI & Vector Stack

OpenAIAnthropicLangChainLlamaIndexPineconeWeaviateMilvus

Infrastructure

KafkaSparkdbtAirflowFlinkPostgresMongoDBOracleSAPElasticRedis
Industries

Industry Transformations

Every industry hits the same wall in a different shape. Here's how the platform changes depending on where you sit.

Healthcare

Problem

Patient data spread across EHR, labs, and claims systems.

Platform

HIPAA-compliant lakehouse with governed patient identity resolution.

Outcome: Faster, safer care coordination.

Manufacturing

Problem

Sensor and MES data disconnected from ERP and quality systems.

Platform

Real-time IoT ingestion into a unified operations data layer.

Outcome: Predictive maintenance, fewer line stoppages.

Energy

Problem

Grid, asset, and weather data living in separate systems.

Platform

Hybrid cloud data fabric spanning field and cloud.

Outcome: Better load forecasting and asset uptime.

Retail

Problem

Online, in-store, and loyalty data never reconciled.

Platform

Unified customer data platform with real-time personalization.

Outcome: Higher conversion, lower churn.

Construction

Problem

Project data trapped in spreadsheets across job sites.

Platform

Centralized project data platform with document intelligence.

Outcome: Fewer cost overruns, better forecasting.

Financial Services

Problem

Risk, compliance, and customer data siloed by product line.

Platform

Governed data mesh with strict lineage and audit trails.

Outcome: Faster regulatory reporting, lower risk.

Insurance

Problem

Claims, policy, and underwriting systems that don't talk.

Platform

Unified claims data lakehouse with AI-assisted triage.

Outcome: Faster claims resolution, fraud detection.

Supply Chain

Problem

Visibility gaps between suppliers, logistics, and warehouses.

Platform

Real-time integration layer across partner systems.

Outcome: Fewer stockouts, better demand forecasting.

Life Sciences

Problem

Research, trial, and manufacturing data in separate systems.

Platform

Compliant research data lakehouse with full lineage.

Outcome: Faster time-to-insight across research.
CLIENT TESTIMONIALS

Trusted by industry leaders.

★★★★★
HS

Hulet Smith

CEO, RehabMart.com

XFactr.ai did not just build technology for us. They helped transform how we think and how we grow.

★★★★★
RS

Rick Szczodronski

CPO, Building Data Company

An amazing service! and The cloud migration project was seamless by making the process more easier.

BUSINESS IMPACT

Outcomes our clients report

80%
Faster AI adoption
65%
Lower integration costs
95%
Trusted data quality
Faster analytics
99.9%
Platform availability
Engineering productivity
EXPLORE ALL CAPABILITIES

From enterprise data foundations to AI, automation, cloud, and edge intelligence.

XFactr.ai connects data, AI, digital engineering, and intelligent infrastructure to build scalable enterprise technology solutions.

FAQ
Frequently Asked Questions
Everything you need to know about enterprise data platforms, AI modernization, governance, cloud migration, and AI-ready architecture.

An enterprise data platform is the unified infrastructure that connects, governs, and serves data from all business systems.

A lakehouse combines warehouse reliability with data lake flexibility for analytics and AI.

A decentralized approach where business domains own their data products under shared governance.

A metadata-driven layer that connects data across systems without requiring everything to move.

Typically 3–6 weeks for assessment and one to two quarters for implementation.

No. Hybrid and phased migrations are the recommended approach.

AWS, Azure, Google Cloud, hybrid, and private cloud.

Cataloging, lineage, RBAC, and quality controls are designed from day one.

Yes. Encryption, validation, and strict access controls are applied.

It provides trusted, governed, contextualized data with semantic layers and vector search.

A semantic database used for enterprise search and Retrieval-Augmented Generation.

Yes. Compute and storage scale independently.

No. Modern platforms scale compute independently for concurrent users.

Yes. Managed monitoring, tuning, incident response, and optimization.

Pricing depends on scope, integrations, data volume, and infrastructure.

GET STARTED

Build the Enterprise Data Platform Your AI Strategy Deserves

Whether you're modernizing legacy systems, preparing for AI adoption, consolidating enterprise data, or building a cloud-native platform, XFactr.ai helps transform disconnected information into a unified, intelligent foundation for innovation.