A city runs on thousands of sensors and systems: water, energy, traffic, buildings, street lighting, the rescue services. AI in Yggio reads them together and helps the people who run them act sooner and with more certainty.
All of it runs in the operational layer the city controls, with one data model, one set of access rights and one audit trail.
AI doesn’t fix bad data; it amplifies it. So the first job for AI is the data itself.
A model learns how each sensor normally behaves and flags drift, spikes and silent sensors before anyone acts on a bad value.
AI-based navigation around blocked roads, developed with the rescue services on Gotland and funded by Vinnova. One agent reads road-works plans arriving by email (as PDF, table or free text) and blocks the right road at the right time. Another watches traffic sensors and blocks a road when it spots an anomaly.
Routes for cars and trucks go around every block, may use one-way streets the wrong way, and reach the blue-light systems through Yggio’s open API. The function is now part of standard Yggio.
Next on the Yggio roadmap: staff ask a question and get an analysis, a chart or a table back, from the live data they are allowed to see.
AI assistants and agents will reach the data through Yggio’s MCP server, and only what the access rights manager grants them. Local language models keep the data inside the city’s own environment.
Once you know what normal looks like, you can steer.
AI learns how each building responds to weather and use, and plans heating ahead instead of chasing it.
The edge gives fast response, privacy and resilience; the cloud gives training and the fleet-wide view.
Small models now run inside the sensor itself.
Tell us what you want AI to do for your city. We will show you how far Yggio gets you today and where our research is heading.