Lilly TuneLab
Lilly TuneLab: Predict small-molecule and antibody properties through a web-based platform. Ranked #30 of 30 in AI Drug Discovery Software by our editors (5.3/10); pricing: Pricing on request; best for teams predicting small-molecule and antibody properties.
At a glance
- Editor score5.3 / 10
- PricingPricing on request
- Best forTeams predicting small-molecule and antibody properties
- Target identificationNo
- Facts checked4 Oct 2026
Where it wins
- Predicts small-molecule drug-like properties and ADMET profiles
- Assesses antibody developability from light- and heavy-chain sequences
- Federated learning shares model updates without underlying molecular data
Where it doesn't
- Focuses on predictive characterization, not target identification
- Does not provide computational molecule design or drug repurposing
- Access requires a conversation and fit assessment with the TuneLab team
Our verdict on Lilly TuneLab
Lilly TuneLab is a cloud-based web platform for biotechnology teams working in early and preclinical drug discovery. Researchers can submit SMILES strings for small molecules or light- and heavy-chain antibody sequences, create jobs, track progress, and explore completed results interactively. Its scope is predictive characterization: the platform estimates small-molecule drug-like properties and ADMET profiles and assesses antibody developability. Teams seeking target identification, computational molecule design, or drug repurposing should look for a broader discovery tool.
The model offering spans small-molecule and antibody workflows, with models trained on more than 500,000 preclinical datapoints. TuneLab also uses federated learning: participating companies contribute training data while model updates, rather than underlying molecular data, are shared. That arrangement is relevant to organizations interested in collaborative model training without sharing their molecular datasets. It does not change the product's central focus on predicting properties rather than identifying targets or designing molecules.
Access follows a join-and-contribute-data membership process, beginning with a conversation and fit assessment with the TuneLab team. The vendor does not publish plan pricing; prospective participants therefore need to discuss access directly. This process may suit small and mid-market biotechnology companies prepared to contribute data and focused on molecule-level prediction. Teams that need a self-directed purchase path, or a platform covering a wider set of discovery stages, should consider alternatives.
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Lilly TuneLab pricing
Lilly TuneLab fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Target identification | No |
| Molecule design | No |
| Drug repurposing | No |
| Discovery scope | Molecule |
| Deployment options | Cloud |
| Research publications | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Built for | Small business, Mid-market (editorial estimate) |
| Pricing | Pricing on request |
| Website | tunelab.lilly.com |
| Facts checked | 4 Oct 2026 |
Alternatives to Lilly TuneLab
- Amazon Bio DiscoveryA cloud workflow for designing, ranking, and testing antibody candidates.9.3
- Pharma.AIA broad discovery suite spanning target research, molecule design and clinical-trial prediction.8.8
- RecursionA broad discovery suite for teams connecting computational models with lab experiments.8.7
See all Lilly TuneLab alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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