ISO-aligned method validation

Validate and bring your product
to market with confidence

Independent method validation and predictive maintenance software for air quality and environmental monitoring instruments.

Method Validation·Air Samplers·Environmental Monitoring
Predictive Maintenance·Sensor Drift Detection·Anomaly Flagging
ISO-Aligned·Regulatory Documentation·LOD / LOQ Studies
Swiss Technology Company·EN · DE · RU·EU & Global Clients
Method Validation·Air Samplers·Environmental Monitoring
Predictive Maintenance·Sensor Drift Detection·Anomaly Flagging
ISO-Aligned·Regulatory Documentation·LOD / LOQ Studies
Swiss Technology Company·EN · DE · RU·EU & Global Clients

Trusted by instrument manufacturers & consultancies

Two core service lines

From regulatory documentation to intelligent maintenance algorithms — we cover the technical work so your team can focus on commercialization.

01 / Method Validation

Method validation

Full validation studies for new-to-market air sampling and environmental sensing instruments.

  • Linearity & range studies
  • Accuracy & precision testing
  • LOD / LOQ determination
  • Regulatory documentation
  • Inter-lab comparisons
02 / Predictive Maintenance

Predictive maintenance software

Custom algorithms and code to anticipate instrument failure before it affects measurement quality.

  • Sensor drift detection
  • Anomaly flagging models
  • Python / R implementation
  • Integration with existing systems
  • Performance dashboards
3+
industry clients
3
languages spoken
CH
Swiss precision

A clear, structured process

01

Discovery call

We learn about your device, regulatory targets, and timeline.

02

Validation plan

A tailored study design with defined acceptance criteria.

03

Execution

We run the experiments and analyse all data independently.

04

Report & support

Audit-ready documentation and ongoing technical support.

Swiss precision meets scientific expertise

We combine deep metrological knowledge with modern software engineering — delivering validation reports and predictive tools that hold up to regulatory scrutiny anywhere in the world.

Independent & objectiveNo instrument brand ties
Audit-ready outputsDocumentation built for regulators
EN · DE · RUNative language support

Ready to validate your instrument?

Get in touch for a free scoping conversation. We typically respond within one business day.

based inSwitzerland 🇨🇭
languagesEN · DE · RU
servingEU & global clients
Get in touch

Anna Timonina-Farkas

PhD · Operations Research & Extreme-Value Statistics · EPFL

Scientific researcher and entrepreneur combining deep mathematical expertise in stochastic optimization with a passion for precision measurement and data-driven decision making. Founder of FindeX Calibra — bringing rigorous academic methodology to instrument validation and predictive maintenance.

Anna Timonina-Farkas
2023Enable Grant
2022E4S Grant · EPFL
2017University of Vienna Publication Award
2015Schrödinger Fellowship · Austrian Science Fund
2014PhD with Honors · University of Vienna
2013Best Student Paper Prize · CMS
2011Mikhalevich Award · IIASA
2023Enable Grant
2022E4S Grant · EPFL
2017University of Vienna Publication Award
2015Schrödinger Fellowship · Austrian Science Fund
2014PhD with Honors · University of Vienna
2013Best Student Paper Prize · CMS
2011Mikhalevich Award · IIASA

The science behind FindeX Calibra

Anna's academic background directly informs the rigour applied in every validation study and software solution.

Stochastic optimization

Multi-stage optimization under uncertainty — the backbone of predictive maintenance models that anticipate sensor failures before they occur.

Predictive Maintenance

Extreme-value statistics

Modelling rare events and tail risks — applied to outlier detection in instrument measurements and robust LOD/LOQ determination.

Method Validation

Risk & resilience analysis

Research at IIASA in natural disaster risk management — transferable to quantifying measurement uncertainty in environmental monitoring.

Environmental Monitoring

Operations research

Published in leading journals on supply chain disruptions, decision-making under uncertainty, and robust optimization at EPFL.

EPFL · University of Vienna

From academia to industry

2024 – present
Founder, FindeX Calibra
Swiss technology company · Method validation & predictive maintenance
2016 – 2024
Research Scientist, EPFL
Chair of Technology & Operations Management · Risk Analytics & Optimization
2015 – 2016
Schrödinger Fellow
EPFL RAO Dept. · Austrian Science Fund
2012 – 2015
Research Scholar, IIASA
Risk, Policy & Vulnerability Program · Vienna
2010 – 2014
PhD with honors
Statistics & Operations Research · University of Vienna
Before 2010
BSc & MSc, MIPT
Applied Mathematics & Physics · Moscow Institute of Physics and Technology
Early research
PageRank & Network Optimization
Under Prof. Boris Polyak · Institute for Control Sciences, Russian Academy of Sciences

English · German · Russian

All client work available in all three languages

Peer-reviewed research

15+ publications in leading international journals.

POM 2024
Balancing Resilience and Efficiency: A Literature Review on Overcoming Supply Chain Disruptions
F. Luecker, A. Timonina-Farkas, R.W. Seifert
Oper. Res. 2022
Information Retrieval under Network Uncertainty: Robust Internet Ranking
A. Timonina-Farkas, R.W. Seifert
POM 2022
Limiting the Impact of Supply Chain Disruptions in the Face of Distributional Uncertainty in Demand
A. Timonina-Farkas, R.Y. Glogg, R.W. Seifert
Quant. Fin. 2021
COVID-19: Data-driven Dynamic Asset Allocation in Times of Pandemic
A. Timonina-Farkas
Risk Anal. 2015
Structured Coupling of Probability Loss Distributions: Assessing Flood Risk in Multiple River Basins
A. Timonina, S. Hochrainer-Stigler, G.Ch. Pflug, B. Jongman, R. Rojas

View full publication list →

Work with Anna & FindeX Calibra

Bring academic-grade rigour to your instrument validation. Free scoping conversation, response within one business day.

languagesEN · DE · RU
Get in touch