Failures Repeat
The same jam returns weeks after a fix — not because the repair was wrong, but because nobody can find what worked last time.
On-Device Maintenance Intelligence
Capture maintenance incidents at the machine in seconds. Build a searchable incident memory your company owns. Get AI-backed suggestions when it matters — with every model running on-device, so your team's knowledge never leaves your devices.
Every operation runs on experience — and most of it is invisible exactly when it's needed.
The same jam returns weeks after a fix — not because the repair was wrong, but because nobody can find what worked last time.
Incidents reach central systems days after they happened — when the knowledge can no longer help the people who need it.
Without visible failure history, replacement decisions run on gut feel: wasted budget, or a breakdown nobody predicted.
Decades of know-how live in a handful of heads. When they retire, the organization loses its most valuable dataset for free.
A closed loop: the easier it is to log, the smarter the suggestions become.
Photos with markup, symptoms in plain language — in your team's own language. Thirty seconds where the work happens, not a form back at the office.
Every event becomes a clean, searchable record: machine, symptoms, action taken, outcome. Your company's operational knowledge, kept as an asset you own.
When a new incident resembles a past one, Cavansite surfaces the previous fix and outcome, labelled with match strength: how closely your wording matches those past cases, not a probability of being correct.
If nothing in your history matches, Cavansite stops there and tells your team to verify manually. A general AI suggestion is offered only as an explicit opt-in, clearly labelled as unverified. Advice is always advisory: your people decide.
Screens shown with Cavansite's bundled sample corpus.
Cavansite runs its language models directly on the device. No cloud services, no accounts, no data uploads — it works with no network connection at all, and personal or operational data stays inside your four walls. For GDPR-sensitive environments, that is not a policy promise; it is the architecture.
The incident corpus Cavansite builds is yours: structured, exportable, and usable for whatever you decide next — better maintenance decisions, capacity planning, or expansion investments. It is your intellectual property, not ours.
The interface is available in ten languages, including German and English — because teams work best in the language they think in.
Every deployment starts from the same foundation — an accurate incident memory — then adapts to your industry: manufacturing, logistics, facilities, energy.
Incident capture with photos and markup, searchable history, AI suggestions grounded in your own incidents with honest match-strength labels.
Urgency triage: flag what needs attention now versus later. On-premises ingestion that turns your existing reports (email, Excel, paper) into structured incidents with a human approval step. Photo understanding in chat and a live hazard-object viewfinder, both on-device; we release them once they prove themselves on real plant objects.
Sensor trend monitoring: spotting the slow drift that precedes breakdowns, long before a high-limit alarm fires.
No big-bang project. Three small steps — shaped around your industry's workflows, not the other way round.
Bring 10–20 of your real incident reports to a video call. We load them into Cavansite live and watch it answer questions about your own equipment.
A floor tour with your team, pain-point mapping, a sample of your data loaded into the app, and a written report — plus a firm quote if it makes sense to continue.
A defined scope, agreed success metrics measured before and after, milestone demos — a pilot that proves its value.
Straight answers to the questions we hear most.
Cavansite is an on-device AI assistant for maintenance teams. It captures equipment incidents at the machine, builds a searchable history of every failure and fix, and suggests proven solutions when similar problems recur.
Yes — fully. Every language model runs directly on the device, so Cavansite works in basements, shielded halls, and remote sites with no network connection at all.
On your devices only. There are no cloud services, no accounts, and no uploads. The incident history your team builds belongs to you: structured, exportable, and yours as intellectual property.
The interface is available in ten languages, including German and English, so teams can report incidents in the language they think in.
No — it closes the gap before your central system. Cavansite captures knowledge within 30 seconds at the machine, where paper forms and desktop tools lose most of the detail, and complements existing systems rather than replacing them.
Cavansite only suggests actions grounded in your own incident history, and labels every suggestion with its match strength: how closely it matches past cases, not a probability of being correct. If nothing in your history matches, it stops there and tells you to verify manually; a general AI suggestion is offered only if you explicitly ask for one, clearly labelled as unverified.