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Science & data quality

Data you can defend

There is no single fixed standard for indicative air-quality monitoring, so our credibility rests on method, not marketing. This is how Airqoon data is produced, calibrated and validated.

Our method

The Hybrid Network paradigm

Reference stations are precise but sparse; indicative sensors are granular but need anchoring. A hybrid network combines both: reference-grade precision where it exists, hyperlocal coverage everywhere else, with each tier keeping the other honest.

01

Collocate

Sensor units are deployed side-by-side with official reference stations before and during network operation, building a per-unit performance record under real local conditions.

02

Calibrate

Calibration models correct for temperature, humidity and cross-sensitivity effects, developed and refined together with our university partners.

03

Monitor drift

Continuous QA/QC in Lens tracks sensor health and data plausibility across the fleet, flagging drift and anomalies before they reach a report.

A lifecycle, not a delivery

We don't hand over a box and leave

Sensor accuracy is not a one-time property; it is maintained. Every network we deploy stays in a continuous quality loop, and we intervene whenever the data says so, not on a fixed maintenance calendar.

Commissioning · once
Deploy factory certificate Collocate vs reference station Calibrate site-specific model
Operation · for life
Watch Intervene Recalibrate QA/QC on every reading

Deploy. Installed in minutes, solar-powered. Every unit ships factory-calibrated with a traceable certificate.

Watch. Drift, out-of-range, frozen or disconnected signals are flagged automatically in Lens, with a full audit trail.

Collocate. Units run side-by-side with an official reference station under your local conditions.

Intervene. Whenever needed, not on a schedule. Fixes ship over-the-air; the field-replaceable sensor box swaps on-site without unmounting.

Calibrate. A validated base model plus site-specific field calibration, correcting temperature, humidity and cross-sensitivity.

Recalibrate. Alerts trigger a fresh collocation or model update, with accuracy restored and documented for the network's whole life.

Data-driven, not calendar-driven

The fleet's own QA/QC decides when we act: an anomaly today gets attention today.

Serviced without downtime

OTA firmware updates and field-replaceable sensor boxes mean your network keeps measuring while we work.

Certified service organisation

Maintenance, technical service and calibration are inside our ISO 9001 certification scope, not an afterthought.

Standards & certification

Certificates and methodologies

Certifications are held and auditable. For sensor performance we follow the CEN/TS 17660 and US EPA evaluation methodologies; no certification scheme exists against them, and we don't claim one.

Certified
ISO 27001
Information security · TÜRKAK
Certified
CE
Monitoring units on the market
Certified
IEC 61672-1 Class 1
Noise stations · accredited calibration
Methodology
CEN/TS 17660
Co-location evaluation method
Developed with the academic world

Research partnerships, not endorsements

Our calibration methods and network designs are developed through active research projects with universities and TÜBİTAK, the same institutions that independently evaluate the results.

İstanbul Technical UniversityBoğaziçi UniversityUniversity of Bordeauxİstanbul University-CerrahpaşaUludağ UniversityTÜBİTAK
Field evaluation

Co-located in-house and independently

Unit L systems are co-located with regulatory reference stations continuously as part of our own QA/QC, and periodically for independent evaluation studies, with the statistical analysis carried out according to the CEN/TS 17660-1:2021 and -2:2024 methodology.

PM2.5: Unit L vs reference station, hourly PM2.5 scatter: Unit L vs reference, hourly
Unit L sensors co-located on a reference station Unit L co-located with a reference station

Data: validation-period values from co-location studies with regulatory reference stations, statistics per the CEN/TS 17660 methodology. Full report, including per-parameter and per-sensor statistics, available on request.

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