Foundation Model Data Generation
Powering the Future of AI Drug Discovery with High-Fidelity Foundation Model Data.
Capabilities Overview
Foundation models for drug discovery—whether for generative chemistry, target prediction, or bioactivity modeling—demand one thing above all: vast, high-quality, structured data that is consistent, reproducible, and biologically relevant. Arctoris is uniquely positioned as the industry’s preferred wet-lab partner for AI-first biotech, delivering the kind of multi-modal, multi-scale, high-density datasets required to train and fine-tune robust foundation models.
Our proprietary automation platform, Ulysses®, is built to meet these demands—executing millions of data-rich experiments across biochemical, cellular, and structural assays with zero human variability and maximum annotation depth. Arctoris doesn’t just generate data; we generate AI-native intelligence at scale.
Why Foundation Models Need Better Data
To train a foundation model that is predictive, generalisable, and translatable, your data must be:
TABLE
Key Features and Value
High-Throughput, High-Precision Automation: Generate data at industrial scale—across thousands of compounds and targets—with precision instrumentation and fully automated workflows.
Bespoke Dataset Design: Work with our team to define the structure, composition, and distribution of your training set—tailored to modality, mechanism, or target class.
Rich, FAIR-Compliant Output: All data is machine-readable, deeply annotated, and conforms to FAIR principles—ready for AI model ingestion.
Multi-Modal Interlinking: Link biophysical, biochemical, phenotypic, and structural data at the compound and target level to train models that understand mechanism, not just correlation.
Demonstrated Impact: Used by Isomorphic Labs to train their generative drug design models, leading to clinical candidates progressing in record time.
Closed-Loop Support: Integrate Arctoris into your active learning pipeline—run experimental validation and feed results directly into your next model iteration.
Key Features and Value
High-Throughput, High-Precision Automation: Generate data at industrial scale—across thousands of compounds and targets—with precision instrumentation and fully automated workflows.
Bespoke Dataset Design: Work with our team to define the structure, composition, and distribution of your training set—tailored to modality, mechanism, or target class.
Rich, FAIR-Compliant Output: All data is machine-readable, deeply annotated, and conforms to FAIR principles—ready for AI model ingestion.
Multi-Modal Interlinking: Link biophysical, biochemical, phenotypic, and structural data at the compound and target level to train models that understand mechanism, not just correlation.
Demonstrated Impact: Used by Isomorphic Labs to train their generative drug design models, leading to clinical candidates progressing in record time.
Closed-Loop Support: Integrate Arctoris into your active learning pipeline—run experimental validation and feed results directly into your next model iteration.