FaciliMind finds the fault, explains the likely cause, and tells your team what to fix first.
A clear added value in day-to-day operations.
BIG Bundesimmobiliengesellschaft
Valuable insights and measurable added value.
Fraport
Detect inefficiencies early and achieve energy and cost savings.
IG Immobilien Management GmbH
Thousands of data points and hundreds of alarms, with no way to tell which one matters and which is noise. So in daily stress, the list gets ignored.
A valve sticking. A fan running outside schedule. A sensor reading two degrees incorrectly. Nothing fails, nobody reports it, and the energy bill goes up quietly for three years.
Even when you know something is wrong, finding out what is wrong means diving deep into the problem. In a sector this short of technical staff, nobody has time to investigate.
Any monitoring tool can display an anomaly. The question that decides whether anyone acts is the next one: what is causing it, and is it worth a technician's time? FaciliMind answers both, and hands your team a ranked list instead of a dashboard.
Multi-model AI trained with HVAC engineers, so our software names the likely cause rather than flagging that something looks unusual.
A prioritised action list a service team can work through in order, and an asset manager can take to a budget meeting.
From signature on an order to first valuable results, and almost none of it costs your teams time.
A single device sits next to your BMS and reads operational data securely. Setup takes an afternoon. No rip-and-replace, no proprietary sensors.
A semantic digital twin of your building is generated and verified - every air handling unit, heating system and chiller named and linked. This is the part that consumes months elsewhere.
Analytics roll out on the twin and your technical team receives a concrete action list. Further data streams and devices connect later, in parallel with results already arriving.
Every milestone from signature to technical handover, with the effort it costs your team next to it.
4 of 8
milestones ask next to nothing of your team
| # | Milestone | What we need from you |
|---|---|---|
| 01 | Data logger set-up information | 1–2 hrs with IT |
| 02 | Data logger connected | Site access |
| 03 | Building documentation collected | Send what you have |
| 04 | Knowledge graph built | Nothing |
| 05 | Early analytics rolled out | Nothing |
| 06 | Kick-off and first results | Attend |
| 07 | Continuous refinement of knowledge graph and analytics | Nothing |
| 08 | Technical results delivery | Nothing |
You should have an independent view of how your buildings are performing, a diagnostic history you keep, and operating knowledge that does not walk out of the door with one experienced technician.
Mixed age, mixed manufacturer, varying software and hardware versions. FaciliMind can deal with all of this and provide a non-biased view.
What went wrong, what was done and what was the outcome, stored across years and sites. This winter's judgement call is backed by evidence, not memory.
The BACTwin naming standard is emerging as an industry standard. We will release our translation tool for open source use, because a standard nobody else can use is not a standard.
Not built for single buildings or buildings without BACnet/IP. If your portfolio only produces a few hundred data points, there are more suitable options.
In our collaboration within the FFG research project SELF2B, the team at DiLT Analytics impressed us with their innovative strength and expertise. The combination of know-how and straightforward, genuine collaboration is what drives the project's success. We see the results of the automated fault detection and action recommendations as a clear added value in day-to-day operations and are very impressed with the implementation.
Working with DiLT Analytics on the Digital Factory project was a highly professional and pleasant experience. The results provided us with valuable insights and measurable added value, which significantly supported the success of the project. The manner of collaboration and the performance of the technology used speak for themselves and have left a lasting positive impression.
DiLT Analytics analysed the operational data of our building systems and identified valuable optimisation potential. The solution helps us detect inefficiencies early and achieve energy and cost savings through a high level of automation, clear recommendations, and easy scalability using existing sensors.
Our roots are in university research, and we have also been through the journey of security reviews, certifications and the building systems for scale. DiLT Research is our legacy - shared results, university partnerships and FFG-funded projects. Everything in FaciliMind comes from these roots.
Book a demo and we will walk through a real diagnosis - the faults, the likely causes, and what a service team would be asked to do first.
We typically respond within 24 Hours