Predictive maintenance · AI agent · On-premise

See the failure before it stops production.

Mayven is an AI agent that continuously watches your machine sensors, detects anomalies and recommends maintenance with citations straight from service manuals. It runs inside your plant — data never leaves the floor.

Why Mayven

Unplanned downtime is the most expensive hour in your plant

Most failures announce themselves in advance — in the data. There is just nobody reading it around the clock.

Without Mayven

  • Failures get handled only once the machine stops
  • Diagnosis depends on one technician’s experience
  • Manuals sit in binders, searching takes hours
  • Maintenance history scattered across paper and Excel

With Mayven

  • Anomalies caught hours to days before failure
  • Diagnostics available to everyone via chat — 24/7
  • Answers cite the exact manual page
  • Spare parts, history and maintenance plan in one place

What Mayven does

One agent, the whole maintenance loop

An AI agent connected to sensors, documentation and inventory — answering questions that today take three people and half a day.

Anomaly detection

Statistical models (EWMA, z-score) continuously evaluate vibration, temperature and current. Deviation from normal = an alert before the failure arrives.

Answers from your manuals

Your service documentation is indexed — the agent answers with a citation of the exact page. No invented procedures.

Diagnostics in chat

Technicians ask in plain language. The agent pulls sensor trends, maintenance history and the manual procedure, and assembles a diagnosis.

Vision failure analysis

Photograph a worn part or an error screen — the agent assesses the condition and suggests the next step.

Fully on-premise

The whole system runs on a single NVIDIA DGX Spark server at your site. Production data never leaves the plant — no cloud.

Parts, history, planning

Instant spare-part stock checks, a log of every intervention and a recommended date for the next service.

Deployment

How it works

01

We connect your machines

Sensors stream data over standard MQTT — no changes to machine control. We load your service manuals and maintenance history.

02

Mayven monitors

The detector learns each machine’s normal behaviour and continuously evaluates deviations. An anomaly produces an alert with an explanation.

03

Maintenance acts

The technician gets a diagnosis, the manual procedure with a citation and a parts availability check. The intervention is logged.

Pilot deployment

Prove Mayven on two machines

  • 2 production machines, real sensor data
  • 1× NVIDIA DGX Spark — fully offline operation
  • Your manuals and maintenance history in the system
  • Measured trial run with accuracy evaluation
I want the pilot

Deployed within 8 weeks of signing

Contact

Let’s talk about your production

Tell us what machines you run — we’ll prepare a tailored pilot proposal.