TrustIoT.AI
AI decision support for factories
Turn equipment data into decisions
The monthly power bill says how much the plant spent. It doesn’t say which machines spent it, at what hours, or what to change next month.
TrustIoT.AI gathers data from the meters and equipment on your floor, lets you ask about it in plain words, and answers with a conclusion and a next step.
Problem
What a factory lacks is never data
Meters, drives and compressors report every few seconds. The monitoring screen fills with hundreds of numbers, every one of them true, and none of them says what to decide today. Often the data sits in separate systems, and simply lining it up for a comparison is a project in itself.
Finding the answer takes someone who understands the equipment, understands the data and has the time. That person is usually busy with something else, so the question waits until the next power bill brings it back.
Ask
Ask the question you actually have
So TrustIoT.AI opens on a single conversation. A dashboard exists to help people understand data, and understanding data exists to support a decision; if the decision can be given directly, nobody has to decode the screen first.
Ask why July used more power, and it lines up the production lines, air conditioning and compressors side by side, points to where most of the energy went, and suggests which work could move to off-peak hours. When a trend helps, it draws that one chart with the conclusion beside it. Every number in the answer is calculated from the data itself, never estimated by the model, and what an equipment code means comes from the knowledge your factory maintains. Where that knowledge is silent, it says so instead of guessing.
Energy
The same data ready for your energy audit
When audit season comes, there is no need to export tables from several places and rebuild them. TrustIoT.AI can turn the audit period’s data into an energy performance report: total consumption, the comparison with your energy baseline, month-on-month and year-on-year change, a Scope 2 carbon estimate using Taiwan’s grid emission factor, and the consumption spikes and equipment outages along the way.
Every line in the report traces back to raw data the gateway collected on site, so when you prepare your own ISO 50001 audit, you can show where each figure came from.
Setup
Start with one gateway
Setup starts with one official gateway. On site it needs power and a network connection; it brings itself online, and nobody has to configure it.
Then tell TrustIoT.AI which equipment to follow. Paste the table from the vendor’s manual and say what to add. It sorts out the details, checks its own work and confirms with you before creating anything, and where it is unsure, it asks rather than assumes. Once data starts coming in, you can start asking.
Trust
Only verified gateways send data
A decision is only as good as its data. Every gateway carries an identity bound to its hardware that cannot be forged or copied, and a device missing from the factory register cannot connect in the first place. Binding, replacing and retiring a gateway each leave a record. If the network drops for a while, the gateway holds on to the data and sends it once the connection returns.
Each customer’s data is stored apart from every other’s and stays under the customer’s control. We neither own it nor use it.
The zero-trust architecture behind the gateway comes from Laysi research published in Future Generation Computer Systems, an international journal from Elsevier.
Visit
Start with the question you most want answered
Visit trustiot.ai to see how setup works, or write to service@trustiot.ai.