fabrico.io valid
Fabrico
Fabrico is a light MES and computer vision enabled manufacturing performance platform: MES and OEE software with CMMS built in. It connects to machines through the PLC, IoT sensors or AI cameras, logs every stop automatically, and shows OEE live by line, machine and shift, so a technician opens the work order straight from the logged stop.
- Authority
- 46 reach 5 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://www.fabrico.io/llms.txt
- Sections
- 6
- Links
- 53
- Size
- 12997 bytes
- Popularity rank
- #824154
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · Industry and manufacturing
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T18:02:28.994Z
- Last checked
- 2026-10-26T03:33:06.422Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T03:33:02.807Z. Cached copy · Source on fabrico.io
# Fabrico
> Fabrico is a light MES and computer vision enabled manufacturing performance platform: MES and OEE software with CMMS built in. It connects to machines through the PLC, IoT sensors or AI cameras, logs every stop automatically, and shows OEE live by line, machine and shift, so a technician opens the work order straight from the logged stop.
Fabrico is used by manufacturers such as ABB (20% less downtime) and Ficosota (+14% output with a 27% OEE improvement across 3 plants, 60 lines and 500+ machines).
## What Fabrico does
- OEE software: live OEE (availability, performance, quality) by line, machine and shift, with losses by cause.
- Downtime tracking: stops are logged automatically from the PLC, an IoT sensor or a camera; the operator tags the cause on a tablet.
- Machine monitoring: PLC connectivity, add-on IoT sensors for older machines, AI cameras for manual and hybrid lines.
- Computer vision: Inefficiencies zoom-in links each stop to a short video clip of that moment.
- CMMS built in: work orders opened from logged stops, preventive maintenance from calendars, run hours and cycle counts, spare parts, QR codes on machines.
- AI Assistant: answers technicians' questions from manuals and maintenance history. The AI Agent and production planning are on the roadmap, not in the product today.
## Facts
- Cloud-based, data hosted in the AWS EU region, encrypted at rest and in transit. ISO/IEC 27001, ISO/IEC 20000-1 and ISO 9001 certified (DNV). SAP Silver Partner. G2 Leader 2025.
- For OEE with hardware, installing and connecting the devices takes about a month and the full rollout 3 to 4 months; the built-in CMMS needs no hardware, so maintenance teams can start sooner.
- Book a demo: https://www.fabrico.io/demo/
## Guides
- [Best OEE software: the 5 categories and how to choose](https://www.fabrico.io/blog/best-oee-software/): a buyer's checklist, three ways to get machine data, and what a pilot on one line should prove.
- [MES software: what it does and how to choose](https://www.fabrico.io/blog/mes-software/): full-suite MES versus performance-first MES, a demo checklist and pricing questions.
- [Light MES (MES lite): what it covers and when it is enough](https://www.fabrico.io/blog/light-mes/): the 11 MES functions a light MES keeps or leaves to the ERP, a five question test, and one shift worked to 72.7% OEE.
- [Production tracking software](https://www.fabrico.io/blog/production-tracking-software/): what it should record, how it reads PLCs, sensors and cameras, and a rollout plan.
- [OEE software pricing](https://www.fabrico.io/blog/oee-software-pricing/): the three pricing models, the hidden cost of a diagnosis-only tool, and what to ask in a quote.
- [How to calculate OEE](https://www.fabrico.io/blog/oee-calculation/): the formula with three worked examples.
- [TEEP vs OEE](https://www.fabrico.io/blog/teep/): TEEP meaning, formula and a worked weekly example.
- [Best equipment downtime tr
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