Ginkgo Bioworks (NYSE: DNA), which is building the leading platform for cell programming and biosecurity, announced that its Datapoints offering has entered into a new strategic partnership with Inductive Bio and Tangible Scientific to make AI-driven lab-in-the-loop drug discovery broadly accessible across the industry. The partnership aims to deliver capabilities that previously required massive platform investments by combining high-throughput experimental workflows, streamlined compound management, and predictive chemistry AI models into a seamless integrated service that could help scientists design better drugs with fewer resources.

The new collaboration connects three core capabilities: (1) Ginkgo Datapoints' rapid ADME profiling, (2) Inductive Bio's model–driven chemistry design platform, and (3) Tangible Scientific's API-enabled compound management platform. Together, these capabilities aim to move from in-silico compound designs to validated experimental results in one digitally-enabled workstream, with fewer synthesis cycles, faster turnarounds, and lower overall drug discovery costs.

Drug discovery has evolved far beyond the days when scientists would design, synthesize, and test compounds within a single facility. Today, the process is often a global logistics challenge — moving compounds across vendors and continents, introducing delays, and creating coordination bottlenecks. That fragmentation makes it harder to take advantage of AI-driven design and lab-in-the-loop workflows, where results are returned quickly integrated into models that inform the next design cycle.

"The image of scientists sketching molecules on a whiteboard and then walking down the hall to synthesize and test them is long outdated," said John Androsavich, General Manager at Ginkgo Datapoints. "By tightly coupling model-driven design with streamlined logistics to deliver AI/ML-ready assay data in real-time, we're making it easier for scientists to iterate quickly, take advantage of cutting edge digital tools, and focus on what they do best — discovering treatments for patients."

Lab-in-the-Loop Efficiency
Building on its announcement earlier this year of cost-competitive, fast-turnaround ADME services, Ginkgo is taking the next step in delivering innovative solutions in small molecule drug discovery through these partnerships. Ginkgo Datapoints' ADME profiling service delivers high-quality readouts — including microsomal stability, kinetic solubility, P450 inhibition, and permeability — with optional in vitro toxicity readouts on both lead candidates and library-scale compound sets. Ginkgo's services benefit from accelerated US-based logistics local to Boston's biopharma hub, in-house data infrastructure, and lab automation capabilities.

Tangible Scientific, also strategically located near Boston, orchestrates the secure storage, handling, and rapid movement of customer compounds, with delivery to local service providers including Ginkgo. The company's tech-enabled platform unifies compounds, data, and decision-making into a single, automated pipeline. Using Tangible's platform, researchers can submit orders for Ginkgo's ADME services directly from their digital environments, receive real-time status notifications, access structured, metadata-rich assay results in days, not weeks, and instantly integrate those results into downstream design workflows.

Inductive Bio's Compass platform allows chemists to explore and rank design ideas using fine-tuned ADMET prediction models trained on a broad consortium dataset. Designs can then be sent to Tangible and Ginkgo for experimental validation which are then fed back into the models, creating a lab-in-the-loop cycle that combines predictive accuracy with real-world results.

Practical Step Toward Faster Development
By aligning design, experiment, and data delivery into a single connected process, the partnership aims to reduce the time and uncertainty in early-stage drug development. It also supports the FDA's push for faster, more efficient development timelines, onshored manufacturing and services, greater use of AI tools, and adoption of non-animal approaches in preclinical testing.

Availability
The services are available now and are tailored for pharmaceutical and biotech teams looking to improve ADMET optimization and reduce iteration times on programs and across portfolios.