XFactr connects, normalizes, and makes sense of the devices running your buildings, data centers, and grids so every meter, breaker, and controller finally speaks one language.
Client-specific edge builds hinder flexibility and scale. Direct device-to-cloud connections cause congestion and security gaps. And as UPS systems, HVAC controls, lighting, and power meters pile up across multi-vendor landscapes, management silos follow close behind.
Protocol sprawl. Modbus, BACnet, SNMP, and OPC UA rarely speak to each other out of the box.
Compliance pressure. ISO 27001 and IEC 62443 demand robust, auditable edge security.
Operational blind spots. Fragmented, device-specific solutions leave no single source of truth.
Same architecture, same intelligence tuned for what each environment actually needs.
Centralized panel monitoring, Digital T1S networking, cloud-enabled EV meters, and smart home automation from a single pane of glass.
Hardware-agnostic edge gateways connecting UPS, HVAC, lighting, and power meters with real-time fault detection and predictive maintenance.
Edge intelligence for microgrids and industrial grids tracking energy yield, battery health, and load in real time, close to the source.
Zero-trust edge-to-cloud architecture, secure bootloaders, and IEC 62443-aligned protection for every connected device you deploy.
Four platforms doing the heavy lifting quietly, at the edge.
A single, protocol-agnostic collection point for every device on site — buffering, normalizing, and securing data before it ever leaves the building.
See how it worksAn Ethernet-to-T1S overlay that modernizes legacy switchboards — auto-discovery, secure boot, and plug-and-play onboarding, built for a 10-year lifecycle.
Modernize your panelsHardware-agnostic middleware that unifies device management and analytics — with ONNX-based predictive maintenance built in from day one.
Meet CentraIQClassical meters become cloud-enabled, Eichrecht-compliant smart meters — secure bootloaders and a verified chain of trust from meter to cloud.
See secure meteringRules and lightweight ML models run directly on the gateway catching a drifting compressor or a fading battery before it becomes a ticket. No round trip to the cloud, built on the same digital engineering that powers XFactr's broader AI & Data practice.
Explore AI & DataHotspot detection and compressor staging recommendations, before temperatures drift out of band.
Remaining-useful-life estimation and proactive maintenance scheduling for every string.
Demand forecasting and automated load shifting within your policy guardrails.
Drift detection on critical setpoints, with automatic revert to safe profiles.
Technologists across AI/ML, embedded & DevOps
Months as a trusted digital innovation partner
Industrial protocols supported natively
Uptime target across deployed edge fleets
A sample of what unified edge intelligence has done for our customers.
Centralized panel monitoring, 10BASE-T1S networking, and Eichrecht-compliant smart meters for a building energy portfolio.
Hardware-agnostic gateways connecting UPS, HVAC, lighting, and meters — with real-time fault detection across multi-vendor sites.
Edge analytics for solar, storage, EV charging, and grid-tie points — cutting cloud dependency and speeding energy decisions.
A Snowflake-based platform automating baseline modeling across a building portfolio — ~90% less manual effort.
Field notes on edge computing, IoT, and industrial AI.
A practical breakdown of where edge processing wins over the cloud and when you actually need both.
How AI and IoT are converging to reshape industrial operations.
More field notes on edge, IoT, and industrial AI from the XFactr team.
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.
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.
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.
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.
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.
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