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BIMON

AI · Asset management · Digital twin · Maintenance

AI for asset management

AI agents that read the asset's model, systems, maintenance and documents.

Whoever runs an airport, a hospital or a property portfolio has data scattered across different systems: the BIM model, BMS, meters, maintenance software, thousands of documents. We implement AI agents that read them together, answer the questions of the people running the asset and flag faults and waste before they turn into costs.

What changes for the people running the asset

TodayWith AI agents
Finding a documentFolders, emails, whoever remembersOne question, with a link to the right page
MaintenanceOn a calendar or after the faultWhen the operating data calls for it
EnergyThe total on the bill, at month endWaste flagged, with its place in the building
DecisionsOn hand-built reportsOn up-to-date data, approved by a person

Try it

Ask the building a question

Pick a question

AI agent

Demo with sample data from an office building.

The platform

AssetOS: digital twin and AI agents in one place

In AI projects for operations we use AssetOS, the platform developed by ConTxT.: it brings together the BIM model, BMS, sensors, maintenance and documents, with agents dedicated to different topics. It sits on top of the systems the client already has, without replacing them.

  • AIRA

    Energy and comfort

  • RENO

    Predictive maintenance

  • SAL

    Construction progress

  • VERA

    Safety and compliance

  • ARCO

    Structural monitoring of infrastructure

How we implement it

  1. 01

    One use case

    We pick a measurable problem: faults in one system, a building's consumption, time lost looking for documents.

  2. 02

    The data

    We check what data exists and at what quality, code the assets in the model and connect the BMS, meters and maintenance.

  3. 03

    The agents

    We set up the agents on the real questions of the people running the asset and test them together, on real data.

  4. 04

    The people

    Agents propose, people decide. We measure the result on the initial use case, then extend.

Case · Impresa Pizzarotti S.p.A. · 2022

Prato Hospital Digital Twin

For Impresa Pizzarotti we built the digital model of the Santo Stefano Hospital in Prato, 60,000 m², and all its MEP systems, and connected it to IoT and BMS data in a single platform. The data, analysed with AI algorithms, is used to plan predictive maintenance and cut energy consumption.

Prato Hospital Digital Twin →

What you need to start

  1. 1A problem to solve, with a number to improve
  2. 2The list of systems you use: BMS, maintenance, document archive
  3. 3The BIM model or plans you have, even if incomplete
  4. 4Who will use the agents every day
Estimate the return of a digital twin →

Frequently asked questions

How do you implement AI in asset management?+

By starting from a measurable use case and the data that exists. Assets are coded in the model, the BMS, meters, maintenance and documents are connected, agents are set up on the questions of the people running the asset, and the result is measured before extending.

Do we need a BIM model?+

You need an information model with coded assets that gives the data a place. If a BIM model exists we start from it; if not, we build one from a survey, limited to what operations need. For documents alone you can start without one.

Does the AI decide instead of the technicians?+

No. Agents read the data, flag issues and make proposals, for example a work order. Approval stays with a person, and every answer shows the sources used.

Where does the data stay?+

In the client's systems or in a cloud environment agreed with them. Agents only access authorised data, and for critical infrastructure dedicated installations are considered.

Does it work with the systems we already have?+

Yes, that is the starting point. Connections use APIs or open protocols with the BMS, maintenance software (CMMS or CAFM), meters and document archives. First we check which data is available and at what quality.

Which problem do you want to solve first?

Tell us about the asset, the systems you use and the problem to start from. We will reply within one working day.

Attachments (optional)

Brief, tender documents, drawings: PDF, ZIP, Office or images, up to 3 files of 20 MB each.