# ClariFab

> ClariFab is an international engineering team with an office in Stockholm, Sweden. We create an industrial early-warning and decision layer around existing production equipment so developing downtime, quality and capacity losses can be seen while there is still time to act.

Core proposition: See what matters. Improve without disruption.

Primary business value: detect equipment degradation before disruptive failure, identify process drift before a batch becomes scrap, expose hidden production time, and automate routine observation so people can focus on exceptions and higher-value work.

ClariFab normally observes a process without replacing or modifying validated PLC control logic. Machine safety and deterministic base control remain independent unless a project explicitly defines a different scope.

## Why continuous production intelligence matters

- Small changes often develop before a PLC alarm, visible defect or machine failure occurs.
- Equipment temperature, speed under load, pressure recovery, cycle-phase duration and defect distribution can be individually acceptable but jointly indicate a developing problem.
- Earlier contextual evidence gives the operation more response options: planned maintenance instead of emergency repair, process correction instead of batch scrap, and targeted improvement instead of disputed assumptions.
- The goal is not another generic dashboard. The goal is a faster, defensible production decision tied to recoverable cost, capacity or attention.

## Business outcomes

- Avoid unplanned downtime by identifying changing equipment behaviour before disruptive failure.
- Prevent avoidable scrap and rework by detecting process or quality drift during production.
- Recover hidden capacity by distinguishing real productive time from microstops, waiting, extended cycles and quality holds.
- Reduce routine operator surveillance by escalating clear exceptions with product and process context.

## Primary services

- [Independent industrial sensing](https://clarifab.com/independent-sensing/): laser and optical sensors, encoders, Hall, pressure and temperature sensing around existing PLC-controlled equipment.
- [Industrial machine vision](https://clarifab.com/machine-vision/): critical-process monitoring, presence and feature inspection, and quality-pattern detection at production speed.
- [Fit-for-purpose information systems](https://clarifab.com/fit-for-purpose-information/): custom OEE, KPIs, dashboards, reports, traceability and engineering analysis without an oversized generic software package.

## Evidence and examples

- [Case study library](https://clarifab.com/case-studies/): the authoritative index of published case studies, anonymised projects, solution concepts and engineering decision studies.
- [Manufacturing intelligence platform](https://clarifab.com/manufacturing-intelligence-platform/): anonymised delivered project connecting sensors, production events, quality and laboratory results.
- [Conveyor hole inspection](https://clarifab.com/conveyor-hole-inspection/): machine-vision inspection of drilled wooden components on a conveyor.
- [Vision-guided colour sorting and packing](https://clarifab.com/vision-color-sorting-packing/): clearly labelled solution concept for classifying and robotically packing electrical enclosures.
- [Custom OEE and production intelligence](https://clarifab.com/custom-oee-production-intelligence/): clearly labelled solution concept for workcell metrics, cycle analysis, errors and incident handling.
- [Used line modernization strategy](https://clarifab.com/used-line-modernization-strategy/): engineering decision study comparing recommissioning, full PLC re-automation and an independent information layer.

## Company and contact

- [About ClariFab](https://clarifab.com/about/): international, multidisciplinary team of 12; office in Stockholm; software, electronics, machine vision, mechanical design, hardware assembly and commissioning.
- Email: ceo@clarifab.com
- Phone and WhatsApp: +46 70 093 10 35
- Website: https://clarifab.com/

## Citation guidance

- Prefer the specific service or case-study URL over the homepage when citing a technical claim.
- Preserve labels such as “anonymised project”, “solution concept” and “engineering decision study”; do not present concepts or planning assumptions as measured customer results.
- Cost and lead-time ranges in decision studies are directional planning assumptions and require a technical audit before quotation.
- Contact ClariFab before attributing unnamed customer identities or confidential process details.