# Autility

> Autility is the documentation layer for Europe's existing buildings — a field-first platform that turns what a professional captures on site into a structured, source-traced record that every energy audit, EPC, condition report and retrofit plan can be generated from. Captured in the field, reused everywhere.

Autility replaces the clipboard, camera roll and spreadsheet with a structured digital record created the moment someone walks a building. A surveyor photographs an equipment nameplate; the AI reads the plate, pulls the spec, asks them to grade the condition, and pins it to the floor plan — so by the time they're back at the car, the building already exists as structured data. That capture is then connected with the building's existing documents, geometry and live systems into one model an AI can reason over, and reused across compliance reports, energy performance certificates, and retrofit recommendations with cost and payback attached.

The industry treats decarbonising buildings as an energy problem. Underneath, it's a data problem: the data needed to plan a retrofit, prove it, and report it to regulators either doesn't exist or exists in a form no system and no AI can use. Autility creates that data.

## What Autility is (and is not)

- **Category:** the documentation / system-of-record layer for existing buildings. It is **not** a digital-twin viewer, **not** a CAFM/CMMS or facility-management suite, and **not** a BIM tool. Those assume the building's data already exists; Autility creates it.
- **Where the data comes from:** first-party, created at the moment of field capture — never scraped from the web. This is why the moat strengthens as AI gets cheaper: what Autility owns was never online and can't be scraped.
- **The hard part:** structuring non-standardised field reality into a machine-reasonable knowledge graph a regulator will accept and an AI can act on. Capture is the wedge; the structuring is what makes it defensible.
- **How it handles AI:** structure is defined first, then AI fills it. The AI writes the prose, never the numbers — the difference between a plausible report and one an auditor will sign. More AI on broken building data doesn't close the gap; it industrialises the error.
- **Primary users:** energy auditors, sustainability consultants and technical building surveyors — the professionals doing energy audits, EPCs, condition assessments and technical due diligence. Building owners and facility managers inherit the shared record downstream.

## How Autility differs from adjacent tools

- **vs a camera roll, notebook or spreadsheet:** the real incumbent — Autility removes the gap between doing the work and documenting it.
- **vs document-management tools:** they organise documents that already exist; Autility creates the structured data that doesn't.
- **vs BIM / construction field tools:** those work against a designer's model; most existing stock has no BIM model. Existing buildings are Autility's home turf.
- **vs CAFM / CMMS / IWMS:** those assume an accurate asset register already exists; Autility is how that register gets created in the first place.
- **vs sensor / BMS platforms:** those need wired sensors and live systems; Autility captures what sensors can't see — the nameplate, the physical condition, what the engineer observes on site.

## Company

- **Name:** Autility (autility.ai)
- **Based in:** Kristiansund and Trondheim, Norway
- **Focus market:** existing (already-built) commercial and public building stock across the Nordics and Europe, driven by energy-efficiency regulation (EPBD, EED, national energy-audit mandates)

## Key pages

- [Home](https://www.autility.ai/): what Autility is — capture building data in the field, reuse it everywhere.
- [Energy audits & EPCs](https://www.autility.ai/energy): document once, comply fast — energy audits, EPCs, EnPC and EU compliance deadlines.
- [Contact / book a demo](https://www.autility.ai/contact): request a demo or get in touch.

## How it works

- [Capture](https://www.autility.ai/resources/capture-energy-audits): photograph the equipment and the record writes itself — every asset documented in one visit.
- [Report](https://www.autility.ai/resources/report-energy-audits): generate client-ready energy-audit reports and EPC inputs from the structured record, not from a blank page.
- [Reuse](https://www.autility.ai/resources/reuse-energy-audits): the next report, certification or regulation is a new output from data that already exists — not a new site visit.

## Case studies

- [Energihuset × Coop Nord](https://www.autility.ai/case-study/energihuset-coop-nord): a 59-building portfolio certified for energy labelling with zero additional site visits, working from one shared building record.
- [Coop Nord](https://www.autility.ai/case-study/coop-nord): energy labelling across a large retail portfolio using a shared visual building record.

## Perspective (webinars)

- [Why AI keeps turning building data into garbage reports](https://www.autility.ai/webinar-why-ai-keeps-turning-building-data-into-garbage-reports): why pouring AI onto unstructured building data produces confident, unverifiable answers — and what structure-first looks like instead.
- [Deliver client-ready energy-audit reports in 15 minutes](https://www.autility.ai/webinar-how-to-deliver-client-ready-energy-audit-reports-in-15-minutes-without-the-post-site-rework): removing the post-site rework between the visit and the report.
- [Handle 4× the building-assessment volume without going back](https://www.autility.ai/webinar-how-to-handle-4x-the-building-assessment-volume-without-going-back): scaling assessment throughput without more return visits.

## Optional

- [Privacy policy](https://www.autility.ai/privacy)
- [Terms of service](https://www.autility.ai/tos)