Schrödinger Partners with Lilly to Make TuneLab Platform Available in LiveDesign

Key Terms

artificial intelligence (ai) technical

Artificial intelligence (AI) is the development of computer systems that can perform tasks typically requiring human intelligence, such as understanding language, recognizing patterns, and making decisions. For investors, AI can enhance how businesses analyze data, automate processes, and innovate, potentially leading to increased efficiency and new opportunities in the market.

ai/ml technical

AI/ML stands for artificial intelligence and machine learning, software systems that identify patterns in data and make predictions or automate decisions, improving performance as they process more information. Investors care because these technologies can boost revenue, cut costs and create competitive advantages — like a factory that learns to produce goods faster and with fewer mistakes — while also introducing execution, ethical and regulatory risks that can affect a company’s value.

federated learning technical

A method of building artificial intelligence where many devices or locations train the same model using their own private data and only share the model updates, not the raw data—like many cooks each stirring their own pot and sending a note about what worked. It matters to investors because it lets companies improve products and personalization while lowering data-transfer costs and privacy risk, affecting regulatory compliance, customer trust, and the scalability and competitive value of AI-based offerings.

informatics platform technical

A software system that collects, organizes and analyzes large sets of data—often clinical, regulatory or business information—so teams can find patterns, generate reports and make decisions faster. For investors, an informatics platform matters because it acts like a centralized control room: it can reduce manual work, improve accuracy and speed product development or regulatory approval, which can lower costs and shorten time to revenue.

NEW YORK--(BUSINESS WIRE)-- Schrödinger, Inc. (Nasdaq: SDGR) today announced a collaboration with Lilly TuneLab™, a platform launched by Eli Lilly and Company (Lilly) designed to accelerate drug discovery and development by providing access to advanced artificial intelligence (AI) capabilities. TuneLab will be made available in LiveDesign, Schrödinger’s widely used enterprise informatics platform, as a priority interface for participating biotech companies to access TuneLab workflows.

“As a leader in computational drug discovery, Schrödinger is pleased to partner with Lilly TuneLab," stated Pat Lorton, chief technology officer and chief operating officer, software at Schrödinger. “We are pleased that LiveDesign will be a priority platform partner for TuneLab workflows, reflecting the demand for a unified enterprise informatics solution that democratizes access to AI models, physics-based calculations, and experimental data across discovery teams.”

“Schrödinger has a long history of working with partners to accelerate drug discovery. We are pleased to be partnering with Lilly to expand the use of digital drug design methods, and ultimately drive greater impact for patients,” said Karen Akinsanya, president of R&D, therapeutics, and chief strategy officer, partnerships. “Schrödinger has a track record of successfully leveraging LiveDesign’s array of enterprise features, including physics-based and AI/ML methods, to advance our proprietary and collaborative programs, and we look forward to building on that success with TuneLab.”

In creating TuneLab, Lilly has leveraged a global network of world-class technology partners, including Schrödinger and other leading AI/ML providers. TuneLab is hosted by a third-party and uses a privacy-first approach called federated learning, which allows Lilly and partner companies to use the platform while keeping their proprietary data separate and private.

About LiveDesign
LiveDesign is a flexible, cloud-native working environment for discovery teams spanning both small and large molecule research. LiveDesign provides centralized access to all project information for computational and medicinal chemists, including experimental data and in silico predictions, enabling streamlined workflows and collaborative decision-making. LiveDesign allows research teams to leverage Schrödinger’s suite of cutting-edge computational modeling tools within a single interface, democratizing access to both physics-based and machine learning calculations. LiveDesign, via the LiveDesign ML module, enables rapid AI/ML molecular property predictions by training, deploying, and integrating models into collaborative drug discovery workflows. For more information, visit www.schrodinger.com/platform/products/livedesign/.

About Schrödinger
Schrödinger is transforming molecular discovery with its computational platform, which enables the discovery of novel, highly optimized molecules for drug development and materials design. Schrödinger’s software platform is built on more than 30 years of R&D investment and is licensed by biotechnology, pharmaceutical and industrial companies, and academic institutions around the world. Schrödinger also leverages the platform to advance a portfolio of collaborative and internal programs. Founded in 1990, Schrödinger has approximately 800 employees operating from 15 locations globally. To learn more, visit www.schrodinger.com, follow us on LinkedIn and Instagram, or visit our blog, Extrapolations.com.

Cautionary Note Regarding Forward-Looking Statements
This press release contains forward-looking statements within the meaning of The Private Securities Litigation Reform Act of 1995 including, but not limited to those statements regarding the potential advantages of Schrödinger’s computational platform, including the capabilities and potential advantages of LiveDesign, its enterprise informatics platform, expectations relating to the use of LiveDesign by the TuneLab ecosystem, the adoption of LiveDesign by the broader biotech industry, and its ability to utilize TuneLab across its proprietary and collaborative drug discovery programs. Statements including words such as “aim,” “anticipate,” “believe,” “contemplate,” “continue,” “could,” “estimate,” “expect,” “goal,” “intend,” “may,” “might,” “plan,” “potential,” “predict,” “project,” “should,” “target,” “will,” “would” and statements in the future tense are forward-looking statements. These forward-looking statements reflect Schrödinger’s current views about its plans, intentions, expectations, strategies and prospects, which are based on the information currently available to the company and on assumptions the company has made. Actual results may differ materially from those described in these forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and important factors that are beyond Schrödinger’s control, including its ability to further develop its computational platform, its reliance on third-party providers of cloud-based infrastructures to host its software solutions, and the ability to retain and hire key personnel on its business and other risks detailed under the caption “Risk Factors” and elsewhere in the company’s Securities and Exchange Commission filings and reports, including its Quarterly Report on Form 10-Q for the quarter ended September 30, 2025, filed with the Securities and Exchange Commission on November 5, 2025, as well as future filings and reports by the company. Any forward-looking statements contained in this press release speak only as of the date hereof. Except as required by law, Schrödinger undertakes no duty or obligation to update any forward-looking statements contained in this press release as a result of new information, future events, changes in expectations or otherwise.

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Matthew Luchini (Investors)

Schrödinger, Inc.

matthew.luchini@schrodinger.com

917-719-0636



Allie Nicodemo (Media)

Schrödinger, Inc.

allie.nicodemo@schrodinger.com

617-356-2325

Source: Schrödinger