Informations pratiques

Workforce :

2

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PRÉSENTATION DE L'ADHÉRENT

Activité

Qonfluens platform is designed to accelerate the environmental risk assessment of chemical products and biocontrol strategies. We aim to support the transition toward a OneHealth approach. We focus on building bespoke, interpretable, predictive models for the biotech industry.
Qonfluens is your partner for:
- Product development: streamline target identification and optimise experimental design.
- Market access: demonstrate efficiency and safety for regulators and users.
- Advanced Statistics: Our tool implements all standard data analyses for ecotoxicology (NOEC, LOEC, LCx, ECx, SSD, MFx) together with more advanced modelling techniques (Growth, BioAccumulation, GUTS, TK, TK-TD, PB-TK). Moreover, we have specific expertise probabilistic programming (i.e. Bayesian inference) of ecological models, enabling the fine-tuning of mechanistic models with lab/ground/spatial data.
- Spatial Risk Assessment: Besides standard (eco)toxicity statistics, we provide many tools for higher tier analysis, including several landscape-levels models.
Our solution provides an innovative approach combining probabilistic PB-TK-TD model and landscape exposure scenario (i.e., Geographical Information System). We offer tools to facilitate uncertainty and sensitivity analysis in the data, parameters and models, thereby avoiding over-confident predictions and handling worst-case scenarios.
- Collaborative Platform: Ecological studies often involve many different scientific topics, different jobs, different organization. We believe communication is key in such situations, and that collaborative tools can make it easier. To do so, the platform is built around huge knowledge base including relevant regulatory texts, model summaries and scientific references. We want each result report to be crystal clear, and with a complete scientific legitimacy.

Compétences & savoir-faire

- Agent-Based Models for exploring population movement, resistance outbreaks and invasive species potential.
- We develop tools to facilitate the collection and formating of spatial data (strong exper

Notre localisation

Address :

734 Avenue du Chemin Neuf,
34190 Saint-bauzille-de-putois