Ginkgo Bioworks Wins $47M PNNL Contract for Modular AI-Ready Phenotyping Platform


Re-Tweet
Share on LinkedIn

Ginkgo Bioworks Wins $47M PNNL Contract for Modular AI-Ready Phenotyping Platform

Deal Supports DOE’s Ambitious Microbial Molecular Research Mission

In a move aimed at supercharging the pace of biological research, Ginkgo Bioworks has been awarded a contract worth up to $47 million over four years by Pacific Northwest National Laboratory (PNNL). This collaboration will bring a High-Throughput Automated Phenotyping Platform (HTP-APP) to the Environmental Molecular Sciences Laboratory, enabling the Department of Energy (DOE) to pursue its Microbial Molecular Phenotyping Capability (M2PC) objectives at scale.

Platform Highlights: Modularity and Automation to Meet Changing Research Needs

Selected through a competitive process, Ginkgo's new system stands out for its flexible design. The HTP-APP will employ Ginkgo Automation's Catalyst scheduling software and modular Reconfigurable Automation Carts (RACs) to automate every step—from preparing media and growing samples to running advanced analytical assays. This end-to-end automation will not only allow for more consistent data collection but also help scientists quickly adjust methods as scientific priorities evolve.

According to the company, the system will support BSL-2 operations, allow remote experiment planning, and provide managed support to maintain maximum uptime. For PNNL, these features are expected to translate into greater productivity and more reproducible, high-quality biological data suitable for the demands of modern AI and machine learning.

Feature Platform Capability
Modularity & Expandability Reconfigurable RAC-based hardware and digital twin software for dynamic scaling and bottleneck identification
Workflow Coverage Full automation from media preparation to multimodal analytics (e.g., flow cytometry, plate readers, LC/GC-MS)
Operations & Reliability Remote monitoring, managed support, training, and high uptime designed for national user-facility settings

AI and Automation Are the Cornerstones of the DOE’s Scientific Innovation Strategy

Both Ginkgo’s leadership and PNNL emphasize that this partnership is about much more than equipment—it’s about creating infrastructure for tomorrow’s breakthroughs. As noted by Jason Kelly, CEO of Ginkgo Bioworks, this contract represents the kind of investment outlined in recent national AI initiatives: deploying AI-enabled, cloud-based laboratories to keep American biotechnology competitive on a global scale.

The platform’s integration of modular hardware with intelligent scheduling software is expected to generate the vast, high-quality datasets required by modern AI-driven biological research. With such capabilities, researchers can address complex scientific challenges relevant to energy, environment, and health—all core to the DOE’s mission.

Forward-Looking Potential: Sustainable, Scalable, and Data-Driven

The system is built not just for current needs, but for adaptability over time. Modular design ensures new scientific techniques or instruments can be easily integrated, providing a sustainable path for future growth. Coupled with managed services and training, the goal is to maintain uninterrupted facility operations and a constant flow of reproducible data—key factors for large-scale, collaborative science projects.

For those tracking advances in lab automation or AI-driven life sciences, Ginkgo’s partnership with PNNL signals an evolution in how U.S. research institutions aim to maintain global leadership and catalyze scientific innovation in the years ahead.


Contact Information:

If you have feedback or concerns about the content, please feel free to reach out to us via email at support@marketchameleon.com.


About the Publisher - Marketchameleon.com:

Marketchameleon is a comprehensive financial research and analysis website specializing in stock and options markets. We leverage extensive data, models, and analytics to provide valuable insights into these markets. Our primary goal is to assist traders in identifying potential market developments and assessing potential risks and rewards.


NOTE: Stock and option trading involves risk that may not be suitable for all investors. Examples contained within this report are simulated and may have limitations. Average returns and occurrences are calculated from snapshots of market mid-point prices and were not actually executed, so they do not reflect actual trades, fees, or execution costs. This report is for informational purposes only, and is not intended to be a recommendation to buy or sell any security. Neither Market Chameleon nor any other party makes warranties regarding results from its usage. Past performance does not guarantee future results. Please consult a financial advisor before executing any trades. You can read more about option risks and characteristics at theocc.com.


The information is provided for informational purposes only and should not be construed as investment advice. All stock price information is provided and transmitted as received from independent third-party data sources. The Information should only be used as a starting point for doing additional independent research in order to allow you to form your own opinion regarding investments and trading strategies. The Company does not guarantee the accuracy, completeness or timeliness of the Information.


Disclosure: This article was generated with the assistance of AI

Market Data Delayed 15 Minutes