Data Science

Transform Your Discovery with Arctoris’ Integrated Data Science and Informatics Platform.

Capabilities Overview 

At Arctoris, data science is not an afterthought—it’s the backbone of everything we do. Our integrated informatics and analytics workflows empower you to make smarter, faster decisions by extracting actionable insights from rich, structured datasets. Whether you're training AI/ML models, validating hypotheses, or optimizing lead series, our data science solutions provide the analytical horsepower and reproducibility needed to drive success in modern drug discovery. With every assay, our platform captures deep metadata, delivers AI/ML-ready outputs, and closes the loop between experimental execution and computational intelligence.

Key Features and Value

AI-Ready by Design: All data generated by our Ulysses® platform is structured, annotated, and compliant with FAIR principles—ideal for machine learning workflows.

Automated Analytics Pipelines: Real-time data cleaning, quality control, normalization, and analysis—built into every project.

Interactive Dashboards: Visualize trends, compare compounds, and explore screening performance across multiple assay types and time points.

Multimodal Integration: Seamlessly combine biochemical, biophysical, cellular, and structural outputs to gain holistic insights.

Feedback-Driven Optimization: Support for active learning loops and design-of-experiment frameworks to refine compound selection.

Custom Analytics Support: Tailored statistical modeling, kinetic fitting, outlier detection, and curve analysis tailored to your program needs.

Key Capabilities

Real-time QC and normalization of high-throughput screens

Kinetic and mechanistic modeling across biochemical and cellular systems

Curve fitting and parameter extraction for IC₅₀, EC₅₀, Kᴅ, Kᴍ, Vmax, etc.

High-content image analysis with feature extraction for phenotypic profiling

Automated reporting, audit trails, and data exports for regulatory-ready submissions

Machine learning model training support (e.g., descriptor-linking, SAR prediction)

Data integration tools to unify internal and external datasets

Statistical summaries and assay performance metrics (Z’, SSMD, CV%)

Custom dashboards and visualizations built around client-specific KPIs