TuneLab™️ at Revvity
Lilly TuneLab models available within Revvity Signals
TuneLab at Revvity delivers Eli Lilly’s high-quality predictive models as a service through Signals, enabling drug discovery teams to apply AI-guided design seamlessly across discovery workflows, from ideation through result analysis.
What is Lilly TuneLab™?
Eli Lilly, one of the world’s largest and most successful pharmaceutical companies, announced the launch of TuneLab, an AI and machine learning platform. This platform gives biotech companies access to Lilly’s proprietary drug discovery models, built from over 1 billion dollars’ worth of research data and hundreds of thousands of experimental drug molecules.
TuneLab is designed to level the playing field for smaller biotechs, allowing them to use AI capabilities that Lilly scientists deploy daily. In return, participating biotech firms provide additional data that further improve Lilly’s models.
Wide Array of Drug Discovery Models
TuneLab provides access to AI/ML models for in silico property predictions across Small Molecules and Antibody therapeutics – with more models to follow.
Data Privacy
TuneLab is built on a third-party federated learning platform. This allows member companies to train models while keeping their data in a private environment, segregated both from Lilly and from other biotech users.
Continuous Model Improvement
As TuneLab member companies contribute federated training data, the models become more accurate and more generalizable across diverse chemical space, helping to accelerate future discoveries for all users.
Why TuneLab at Revvity?
More Than Model Access, Operational AI for Discovery
TuneLab Models Where Scientists Work
- Invoke TuneLab predictive models directly from ideation, registration, and SAR workflows
- No data exports, file uploads, or context switching
- Predictions generated at the point of scientific decision-making
Predictions in Scientific Context
- Results are automatically linked to structures, assays, and experimental metadata
- Ontology-driven data alignment ensures predictions match model intent
- Outputs are traceable, comparable, and ready for downstream analysis
Compounding Value Through Models-as-a-Service
- Managed model delivery, versioning, and lifecycle through Xynthetica MaaS
- Secure governance ensures organizational control over data and usage
- Designed to support continuous improvement as new data and models are introduced
How the TuneLab at Revvity Program Works
Selected existing Signals customers will receive one year of complimentary access to Eli Lilly’s TuneLab predictive models, delivered through Signals Xynthetica Models-as-a-Service (MaaS), along with the Signals software components required to participate.
Program Overview
- Available to existing Signals customers only
- Complimentary access to Lilly TuneLab models, delivered through Signals Xynthetica Models-as-a-Service
- One year of complimentary Signals software access, including Signals One, Signals Synergy, Signals ChemDraw™, and Signals Xynthetica™ modeling credits
- Access is provided in exchange for contributing relevant experimental data through secure, federated integration
- Eligibility criteria, data requirements, and legal terms will be defined prior to onboarding