Train and validate your AI model

The challenge

In silico drug discovery relies on biologically relevant, high quality experimental data to train and validate AI models. However, it can be challenging to:

  • Find data sources that are relevant, high quality, appropriately structured, and contain all relevant metadata  
  • Produce the necessary experimental data yourself, as lab infrastructure is expensive, time-consuming to install and requires extensive expertise to build and run
  • Confidently choose the right wet-lab assays for your project from the vast number of methods available  
  • Select the right partner as traditional outsourcing providers lack the transparency and strict data standards that determine AI-driven drug discovery success

The Arctoris approach to structured data generation and metadata capture for AI-driven drug discovery

Our fully automated approach overcomes all these challenges. We provide AI-driven drug discovery companies with access to a broad range of assays and techniques, as well as the necessary expertise to generate biologically relevant, fully annotated data in the right format for your AI platform.   

We provide the following benefits:


Increased data depth

Build your model with rich, high-quality data generated via total, end-to-end automation and enriched with consistent metadata capture

Benefit from structured, precise and consistent custom datasets free of human error


Biologically relevant data

Generate high-quality cell-based, molecular, biochem/target data to develop and fully validate your models

Access the full scope of wet lab capabilities and drug discovery assays, techniques and expertise


Rapid data acquisition

Collect datasets with the speed and accuracy needed to keep pace with AI models and progress

Make use of 24-hour robotic operation and instant configuration & analysis via the Arctoris platform


To find out how to accelerate your project timelines and generate higher quality data, reach out to us today.