Pasteur began
with a microscope.
We've upgraded it with Photonics and AI to change the way we
do Microbiology.
Deep Learning Enhanced Biophotonics
Biophotonics
We built proprietary hardware that collects signal from the sample in visible, UV, and near-infrared wavelengths.
We gather the unique spectral fingerprint of the micro-organism at the single-cell level, and use this data to feed our model.
Machine Learning
Lots of suppliers claim they're using AI. We're really doing it. Our foundational model has been trained on millions of images, from lab samples to field strains, to ensure an exhaustive performance.
Direct Results
Our dashboard is automatically connected and gives you the right input for the best decision. Now you can make sure everything you ship out of the factory is safe.
Conduct your tests without culture or enrichment in only 10 minutes.
to understand microbiology
Leading foundation model for microbiology
Data Collection
Our AI model is trained on thousands of real-world samples collected across diverse industrial environments, sampling techniques, and contamination profiles, including both laboratory strains and field strains.
Data Labelling
Expert microbiologists carefully review each sample to identify and mark microbial features, creating precise labels that train the AI model for accurate and reliable microbial detection.
Model Training
The AI model is trained using advanced machine learning techniques to learn from the collected data, capturing complex patterns in microbial signatures and enabling accurate and reliable identification across diverse sample types.
Performance Validation
The model’s results are carefully benchmarked against traditional compendial methods, proving that our AI approach performs at least as reliably, if not better, in identifying microbial signatures.
Model Deployment
Our model is constantly updated with fresh inputs and grows more robust in its database and knowledge base. The deployed model itself remains frozen, ensuring consistent and reliable identification of microbial signatures.
End User
A result in only 10 minutes, providing reliable, easy to understand microbiological insights.
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