XpressOps watches every machine you are responsible for, learns what normal looks like on each one, and tells you which is about to cost you a Saturday.
One Windows agent. No VPN, no port forwarding, nothing to rack.
Northwind Dental · 48 devices
LiveDisk exhaustion in ~6 days Growth on WKS-114 broke its own baseline nine days ago and has not levelled off. Nothing has alerted yet — the threshold is still 9% away.
The platform
Most tools do one of these well and treat the rest as an integration. XpressOps was built as a single agent reporting to a single console, because the interesting signals are the ones that cross between them.
A single Windows service reports hardware, performance, software inventory, event logs, services, and network connections on a fixed cadence — with ninety days of history behind every chart.
Hardware-encoded screen capture over WebRTC, so taking the keyboard feels immediate rather than apologetic. It works before anyone logs in, and without anyone accepting a prompt.
The same agent collects the Windows Security log, process ancestry, live network connections, and antivirus state, then runs them through a rules engine that knows what a suspicious chain looks like.
Rules evaluate continuously against live telemetry. When something crosses the line you get a notification you can act on — and the command to fix it runs from the same console.
Predictive maintenance
Alert thresholds are a blunt instrument: they fire once the damage is already done, and they fire constantly on the machines where that number is simply normal. This is the path from raw telemetry to a problem worth someone's morning.
The agent reports metrics, events, software, and services on a fixed cadence.
Device telemetry
Performance counters, inventory, services, connections, and event logs from one lightweight Windows service — no separate collectors to keep alive.
Each device gets a baseline built from its own history, not a global default.
Per-device baselines
A CAD workstation at 80% CPU is fine; a reception PC at 80% is not. Baselines are built per machine, so the threshold fits the device instead of the fleet.
Deviations from that baseline become scored, ranked anomalies.
Anomaly scoring
Slow trends — a disk filling, memory creeping, a service restarting more often each week — are scored and ordered so the thing that will break first surfaces first.
An AI pass reads the anomaly together with its surrounding context.
AI triage
The anomaly, the device's recent events, and its software and service state go to a model that says what it appears to be, how confident that is, and what to check next.
The finding turns into an alert, a command, or a tracked posture change.
Guided remediation
Send a remote command, open a session, or let the rule act. The action, the operator, and the outcome are all recorded against the device.
Security posture
Per-client posture scores turn a stream of individual findings into a trend a client can actually be shown at a quarterly review.
Prediction narrows where to look first; it does not promise to catch every failure. A drive that dies without warning still dies without warning.
Remote access
The difference between a remote tool people use and one they avoid is measured in tens of milliseconds. This one is built around that number.
Nothing listens for inbound connections on the device. The agent dials out, which is why there is no firewall work to do.
Deployment
One installer, one console, and a client boundary the database itself enforces.
A single executable
The agent installs as a Windows service, registers itself, restarts itself if it fails, and updates in place. There is no server for you to run.
A real hierarchy
Organisations hold clients, clients hold devices. Technicians are assigned at the level they should see, and the isolation is enforced in the data layer rather than the UI.
White-label throughout
Your own subdomain or custom domain, your logo, your colours. Clients see your brand, not ours — including in the console they log in to.
Everything is attributable
Remote sessions, commands, and configuration changes are recorded against the operator who made them, with ninety days of device history alongside.
Where it fits
The pressure is the same everywhere: more endpoints than people, and no way to tell which one matters today.
Managed service providers
Clients stay isolated from each other while your technicians move between them freely, with per-client branding, scoping, and reporting built into the hierarchy rather than bolted on.
MSPs · IT consultancies · break-fix shops
Internal IT
Predictive alerting means the small team is working a short queue of ranked, explained problems instead of reacting to whichever user shouted loudest this morning.
In-house IT · school districts · clinics
Distributed workforces
The agent checks in over the internet from wherever the machine is, and remote sessions reach it through a relay — no VPN for the user to forget to connect to.
Remote-first teams · field staff · franchises
Unattended endpoints
Kiosks, signage, point-of-sale terminals, and shop-floor PCs report the same telemetry as a desk, and can be reached without anyone standing there to accept a session.
Retail · manufacturing · hospitality
Designed for trust
Every row belongs to a client and an organisation, and the database enforces that on every query — not the screen that happens to be rendering it.
An agent key authenticates one fleet's telemetry. It is stored hashed, it can be rotated, and it does not grant console access.
Remote control, remote commands, and configuration changes are written to an audit log tied to the operator, the device, and the time.
Triage is given telemetry and asked for an assessment. Acting on that assessment stays an explicit step with an operator or a rule behind it.
Start with the fleet you already worry about
Tell us what you run, how many endpoints, and where the current tooling leaves you guessing. We will walk you through it against a fleet that looks like yours, not a canned tenant with four tidy devices in it.