GENERATIVE AI & AGENTIC AI DEVELOPMENT COMPANY
AI & Data Services for Intelligent Enterprise Transformation
Accelerate enterprise growth through AI, Generative AI, Agentic AI, Data Engineering,
Analytics, and intelligent automation built for real business outcomes.
AI & Data Services for
Intelligent Enterprise
Transformation
Accelerate enterprise growth through AI, Generative AI, Agentic AI, Data Engineering, Analytics, and intelligent automation built for real business outcomes.
One partner. The full stack of enterprise intelligence.
From AI strategy to production-grade data platforms - every capability an intelligent enterprise needs, engineered under one roof.
AI Strategy
Roadmaps that align AI investment to measurable business outcomes.
Generative AI
Enterprise-grade GenAI applications built on your proprietary data.
Agentic AI
Autonomous AI agents that execute multi-step business workflows.
Enterprise AI Applications
Production AI products embedded directly into core operations.
AI Consulting
Advisory on architecture, build vs. buy, and responsible AI adoption.
Machine Learning
Custom ML models for forecasting, classification, and optimization.
Computer Vision
Visual inspection, detection, and monitoring at production scale.
Predictive Analytics
Forward-looking models that turn historical data into foresight.
Natural Language Processing
Language understanding for unstructured text, audio, and documents.
Recommendation Systems
Personalization engines that lift conversion and retention metrics.
Enterprise Search
Unified, secure search across every internal knowledge repository.
AI Agents
Digital workers that act, not just assist, across routine tasks.
Data Engineering
Resilient pipelines that keep enterprise data flowing and trusted.
Modern Data Platform
Cloud-native platforms built for AI-scale workloads.
Data Lakehouse
Unified storage for structured and unstructured enterprise data.
Data Integration
Connect ERP, CRM, and legacy systems into one data fabric.
Data Migration
Move and modernize data without disrupting the business.
Master Data Management
One trusted view of customers, products, and assets.
Data Governance
Policy, lineage, and access control across the data estate.
Data Quality
Automated validation that keeps AI models trustworthy.
Business Intelligence
Executive-ready reporting built on governed data.
Enterprise Analytics
Self-service analytics for every function and team.
Cloud Data Platform
Azure, AWS, and Google Cloud data architecture at scale.
DataOps
Automated, observable pipelines from ingestion to insight.
MLOps
Model deployment, monitoring, and retraining, fully automated.
AI Operations
Keep AI systems accurate, compliant, and cost-efficient in production.
Responsible AI
Bias testing, explainability, and governance built in by design.
AI Integration Services
Embed AI into ERP, CRM, and existing enterprise systems.
Enterprise AI isn't a technology initiative. It's a growth strategy.
Organizations that pair Generative AI and Agentic AI with a modern data foundation don't just automate work - they compound decision speed, customer experience, and margin, quarter over quarter.
Reduce operational costs
Automate repetitive, manual, and error-prone processes.
Improve customer experience
Faster, more personalized service across every channel.
Automate repetitive work
Free teams to focus on judgment, not data entry.
Increase productivity
AI-assisted workflows that multiply team output.
Real-time decisions
Act on signals as they happen, not after the fact.
Predictive insights
See disruptions and opportunities before they materialize.
Revenue growth
Personalization and forecasting that compound top line.
Scalable enterprise AI
Architecture that grows from pilot to platform.
Why Choose XFactr.ai
Built like an enterprise partner, not a project vendor.
Strategy meets engineering
Most consulting firms hand you a roadmap and leave. We stay and build it. Strategy, AI science, and engineering - one team, one roof, one outcome.
We build for production, not demos
Anyone can ship a proof of concept. We're wired for the harder problem - getting AI to hold up under real load, real data, and real edge cases day after day.
Responsible AI isn't optional
Governance, explainability, drift detection, and bias monitoring are built into every engagement. Cutting corners here is how enterprises end up in the wrong kind of headlines.
Senior architects on your account
You work with engineers who've shipped production AI at enterprise scale - not a rotating bench of juniors managed at arm's length by someone who doesn't write code.
First outcome in weeks, not quarters
We run tight, structured sprints. Most clients have something working in production within 8-12 weeks of kickoff - not a 6-month discovery phase.
Every project is ROI-anchored
Before we write a line of code, we agree on the business metric we're building toward. If an initiative doesn't move a real number, we'll tell you before you spend the budget.
Data engineering is half the job
AI only works when the data feeding it is reliable and governed. We do both - and we don't let weak data architecture undermine strong models.
We grow with our clients
The deepest relationships in our portfolio started as a single project and grew into multi-year programmes. We're built for depth, not deal volume.
25+ engineers in AI & Data
A focused team of specialists - not a 10,000-person firm where you're one of hundreds of accounts. Your programme gets real attention from people who care.
Cloud-native across every major stack
Azure, AWS, GCP, Snowflake, Databricks, MS Fabric - we work in your environment and choose the right tool for the job, not the tool we have the most certifications in.
Built for regulated industries
Energy, healthcare, financial services, manufacturing - we understand the operational constraints and compliance requirements that generic AI vendors miss.
Makez.ai - our own agentic platform
We built Makez.ai ourselves, which means our clients get access to enterprise-grade agentic AI infrastructure that's already been validated in production.
Purpose-built solutions, not generic pilots.
Every solution below is designed to move from proof-of-concept to production, with governance and ROI tracking built in from day one.
Check out customer AI stories that accelerate success.
Real enterprises. Real AI deployed in production. Real numbers. These aren't demos - they're live systems running in the background every single day.
10+ Production AI Models Running at Scale
From AI strategy to production deployment - Schneider Electric's AI programme runs on a platform XFactr.ai engineered from the ground up, spanning energy, manufacturing, and grid intelligence.
Deep Learning on Terabytes of Offshore Sensor Data
Kongsberg needed predictive AI on offshore equipment - starting from zero. XFactr.ai built custom deep learning models trained on real telemetry, validated against physical constraints, and deployed into live monitoring systems.
90-95% Accuracy Across 15,000+ Wells
Multi-modal AI ensemble replacing manual dynamometer card interpretation across a 15,000+ well fleet. Continuous learning, production deployed, field engineers now trust the model over their own instincts.
Real enterprise outcomes. Not benchmarks - production results.
Multi-Modal AI on 15,000+ Oil Wells - 90-95% Diagnostic Accuracy
Field engineers were manually interpreting dynamometer cards across a massive well fleet - slow, inconsistent, and impossible to scale without dramatically growing headcount.
We built a multi-modal AI ensemble that processes sensor data, dynamometer cards, and operational history simultaneously. The model learns continuously from new well data, getting sharper over time.
RehabMart: From $20M to $250M+ Through AI Enablement
A fast-growing healthcare eCommerce business needed to stop operating like a startup and start competing like an enterprise. Manual processes, no demand intelligence, and limited personalisation were capping growth.
We rebuilt the operational intelligence layer - demand forecasting, inventory AI, personalisation engines, and operational automation - giving the team leverage they couldn't get from headcount alone.
Kongsberg Digital: Deep Learning on Offshore Equipment Data
Kongsberg needed predictive fault detection on offshore equipment - but started from zero: no AI baseline, terabytes of noisy sensor data, and a highly regulated operating environment.
We built custom deep learning models trained on real sensor telemetry, validated against physical operational constraints, and deployed into Kongsberg's existing monitoring infrastructure.
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.
A disciplined path from strategy to sustained value.
Discover
Align on business goals and AI readiness.
Strategy
Define the roadmap and priority use cases.
Architecture
Design a scalable AI and data architecture.
Data Engineering
Build governed, production-grade pipelines.
AI Development
Build and train models and AI applications.
Testing
Validate accuracy, bias, and performance.
Deployment
Ship into production environments safely.
MLOps
Automate monitoring, retraining, and governance.
Optimization
Continuously improve accuracy and ROI.
Meet Makez.ai - the enterprise multi-agent AI platform.
We built Makez.ai from the same engineering culture that powers our client work - autonomous AI agents that plan, reason, and execute complex multi-step workflows with enterprise-grade security, RBAC, and real-time observability baked in from day one.
- Autonomous agents that plan and execute without constant human handholding
- Cross-department orchestration with persistent context and memory
- Enterprise RBAC, audit logs, and compliance for regulated environments
- Live observability on every agent decision and action
Autonomous Agents
Plan, reason, and execute multi-step workflows without manual intervention at every stage.
Orchestration
Coordinate agents across departments with persistent memory and shared context.
Enterprise Security
RBAC, audit logs, and data isolation for regulated enterprise environments.
Live Observability
Monitor every agent decision and compliance event in real time.
Built on the platforms enterprises already trust.
The Enterprise AI & Data Company
What it means to build AI like an enterprise depends on it.
XFactr.ai is an enterprise AI and data engineering company built for organizations that need AI to hold up under real production load not just a demo. We work as an extension of your technology organization: setting AI strategy, engineering the underlying data platform, and shipping Generative AI, Agentic AI, and machine learning applications that are governed, monitored, and accountable to business outcomes.
What Makes XFactr.ai Different
Most AI vendors sell either strategy decks or point-solution pilots. As an enterprise AI consulting company, XFactr.ai does both: business consulting that defines the outcome, and engineering that delivers it. Our teams combine data engineers, ML engineers, solution architects, and industry consultants so that every AI initiative is grounded in a modern data platform from the start because AI is only as reliable as the data underneath it.
How We Deliver AI, End to End
Delivery starts with discovery and AI strategy, moves through data engineering and platform architecture on Azure, AWS, Google Cloud, Snowflake, and Databricks, and continues through AI and ML development, rigorous testing, deployment, and MLOps. As an AI development company, we don't hand off a model and walk away we build the operational muscle (AIOps, monitoring, governance, retraining) that keeps AI systems accurate and compliant long after go-live.
Industries and Global Delivery
XFactr.ai delivers enterprise AI and data engineering services across manufacturing, healthcare, retail, financial services, energy, logistics, and the public sector, supported by a global delivery model that blends onshore strategy with scaled offshore engineering. This lets enterprise customers move faster without compromising on governance, security, or responsible AI practices.
Business Outcomes, Not Just Technology
As an enterprise AI partner, our engagements are measured the way our customers measure their own business: cost reduction, revenue growth, cycle-time improvement, and customer experience. Whether the goal is a modern data platform, an agentic workforce, or predictive operations, XFactr.ai's AI and data services are designed to compound value well beyond the initial deployment.
Every service, one click away.
Enterprise AI & ML
Custom ML models, classification, forecasting, anomaly detection.
Generative AI
LLM apps, RAG pipelines, enterprise copilots built for production.
Agentic AI
Autonomous multi-agent systems that reason, plan, and act.
AI Strategy & Consulting
Roadmaps, readiness assessments, and AI governance frameworks.
Data Engineering
Production-grade pipelines, ETL, lakehouses, and feature stores.
Data Platforms & Lakehouse
Snowflake, Databricks, BigQuery - modern data foundations.
Analytics & Governance
Self-serve analytics, BI, data governance, and data quality.
MLOps & DevOps
Model deployment, drift monitoring, CI/CD, and LLMOps.
Edge AI & IoT
Edge gateways, on-device models, EV, and smart infrastructure.
Digital Engineering
AI-native web and mobile apps, embedded firmware, ERP integration.
Cloud & AI Security
Zero Trust, DevSecOps, AI security framework, CSPM, SIEM.
Smart Enterprise
AI-embedded enterprise apps, workflow automation, ERP AI.
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.
Ready to Transform Your Enterprise with AI & Data?
Talk to our AI and data specialists about where to start - and how fast you can get to production.
Free AI Assessment
Understand your organization's AI readiness in one session.
Enterprise AI Workshop
A working session to scope your highest-value AI use case.
Download Whitepaper
The enterprise guide to building a modern AI and data foundation.
Contact Us
Talk to an AI and data specialist about your goals.