Manufacturing & Industrial Technology Solutions
We work with manufacturers and industrial operators who are trying to modernize what's running their plants old applications, disconnected systems, spreadsheets standing in for real data and build toward manufacturing digital transformation without stopping the line to do it. That means software, data engineering, Industrial IoT, edge computing, automation, and AI, applied where they'll actually move a number.
Six areas cover most of what we get asked to help with
Nobody calls us about "manufacturing technology" in the abstract. It's usually one of these: a manufacturing software development project that packaged tools can't handle, an industrial IoT solutions rollout that stalled, or an AI idea that needs real data underneath it before it's worth building. These six areas are where that work tends to land.
Software & Applications
Custom software, modernization, mobile, web, and enterprise applications.
Data & Analytics
Data engineering, data platforms, analytics, BI, and real-time intelligence.
Cloud & DevOps
Cloud modernization, cloud-native applications, DevOps, and scalable infrastructure.
Industrial IoT & Edge
Connected machines, sensors, edge computing, IIoT platforms, real-time processing.
Integration & Automation
ERP, MES, CRM, PLM, WMS, APIs, workflows, and enterprise integration.
AI & Intelligent Operations
ML, GenAI, AI agents, predictive analytics, computer vision, intelligent automation.
What happens between a sensor reading and a decision someone actually makes
Factory / OT
Edge
Operations
Enterprise
Data & Cloud
Intelligence
What we actually get hired to do
This list covers manufacturing software development, industrial systems integration, and everything in between some projects touch one row, most touch three or four.
Technology strategy, modernization, and enterprise architecture
Custom manufacturing applications, platforms, portals, mobile
ERP, MES, CRM, PLM, WMS, APIs, and system integration
Data platforms, engineering, BI, real-time and predictive intelligence
Connected assets, sensors, IIoT, edge computing
Cloud migration, cloud-native applications, DevOps
Workflow automation, intelligent process automation
AI, GenAI, computer vision, predictive maintenance, AI agents
The same technology shows up in different places across the plant
Connect the physical world to the digital enterprise
Capture data where work happens, process it at the edge, and connect real-time operational intelligence to enterprise systems and the cloud.
We don't start with AI. We start with whether the data behind it is any good
Predictive Maintenance
AI Quality Inspection
Production Optimization
Supply Chain Intelligence
AI Agents & Copilots
One integration layer, every system you run
SAP, Oracle
Microsoft Dynamics
NetSuite, Infor
MES, SCADA
QMS, PLM, WMS
IoT / IIoT
Edge, machines, sensors
CRM, CPQ
eCommerce, field service
Azure, AWS
Data lake, lakehouse
A short list, on purpose
Schneider Electric
Energy & Automation
WESCO
Industrial Distribution
Kongsberg
Industrial Technology
Rehabmart.com
Retail & Ecommerce
What some of that work actually looked like
Schneider Electric
A multi-year partnership applying AI-driven automation to Schneider Electric's energy operations it started as one piece of work and grew from there.
DevOps, MLOps & AI for Large Facilities
Built a data and AI platform, using DevOps and MLOps practices, to operate large facilities at scale.
Multi-Modal AI for Equipment Diagnostics
Combined sensor telemetry with computer vision for predictive equipment maintenance 90-95% accuracy across 15,000+ assets, so field crews stop finding out about failures after the fact.
“They didn't just build technology for us they helped transform how we think and grow.”
What clients actually tell us matters
Enterprise Engineering
Complex applications and enterprise technology, not templated builds we've reused elsewhere.
Industrial Connectivity
IT, OT, IoT, and edge, handled by one team instead of four vendors pointing fingers at each other.
Data-to-Intelligence
Data engineering and analytics come before AI, not after that order matters more than it sounds.
End-to-End Delivery
Strategy, build, integrate, automate, optimize one team accountable for all of it.
Most of our clients found us because a previous vendor could handle the software or the AI, but not both at once.
Frequently Asked Questions
What manufacturing technology services does XFactr.ai provide?
Software engineering, enterprise integration, data & analytics, industrial IoT & edge, cloud & DevOps, automation, and AI connecting the factory floor to the enterprise.
Can XFactr integrate ERP, MES and industrial systems?
Yes. We build integrations between ERP (SAP, Oracle, Microsoft Dynamics, NetSuite, Infor), MES/SCADA, and other industrial systems using APIs and event-driven data pipelines.
Does XFactr provide Industrial IoT and edge solutions?
Yes. Sensor and device connectivity, edge gateways, edge processing, and the data pipelines that move operational data from machines into enterprise systems and the cloud.
Can XFactr modernize legacy manufacturing applications?
Yes. Application modernization API-enabling, cloud migration, and modern architecture without disrupting live production.
How can XFactr help manufacturers implement AI?
By building on a connected data foundation first, then adding predictive maintenance, quality inspection, production optimization, or AI agents one proven use case at a time.
Can XFactr connect factory-floor data with enterprise systems?
Yes that connection, from machines and sensors through edge and MES up to ERP, CRM, and analytics, is the core of what we build in this space.
Does XFactr work on smart manufacturing and digital twin projects?
Yes, though we're upfront that most manufacturers get more value from fixing their data foundation first. A digital twin built on unreliable data just gives you a more convincing-looking version of the wrong answer.
What does IT/OT integration actually involve?
Getting data out of PLCs, SCADA, and other plant-floor systems and into the tools your business actually runs on usually a mix of protocol-level work (Modbus, OPC-UA) and building the pipelines that carry that data upstream reliably.
Every Great Conversation Starts Here
Whether you have a question about our services, a partnership idea, or a project ready to launch, share your thoughts below and we'll get right back to you.