• Harmonized expression: New platform enables stable CHO pools to be rapidly generated in high-throughput, replacing transient expression during lead optimization. Accessible either as an outsourced service or via technology in-licensing.
  • Derisked candidate selection: Improved translatability for molecule titer and product quality data between discovery and manufacturing.
  • Accelerated lead selection-to-IND timelines: Rapid Pools can advance directly to single cell cloning, which accelerates IND timelines while improving consistency between CMC and discovery stages.

BOSTON, MA, December 16, 2025–Asimov, the synthetic biology company advancing the design and manufacture of therapeutics, today announced the launch of CHO Edge Rapid Pools, a high-throughput stable CHO expression system that brings CMC-grade performance and assurance to biologics discovery teams. Rapid Pools enables fast and high-throughput generation of stable CHO pools during lead optimization. This allows multiple lead molecules or architectures to be tested in parallel, resulting in insights that are more predictive of downstream manufacturability and developability. Rapid Pools enables therapeutic developers to make more informed candidate and architecture selections, reduce late-stage development failures, and accelerate timelines to IND.

The rapid expansion of complex biologics—bispecifics, multispecifics, Fc-fusions, and beyond—has exacerbated the disconnect between discovery-stage expression systems and downstream manufacturability. Transient expression, still widely used for screening and lead optimization, often fails to surface molecule liabilities caused by chain mispairing, instability, aggregation, or poor assembly. As a result, programs may advance molecules with hidden developability risks, which can result in inefficient/expensive production processes, timeline delays, and even program termination.

Rapid Pools addresses this developability gap by providing discovery teams with CMC-grade pools and molecule insights to influence lead optimization, architecture selection, and manufacturability assessments. Powered by Asimov’s new high-efficiency transposase, CHO-K1 GS host, and model-guided vector design, the Rapid Pools platform is a miniaturized, optimized version of Asimov’s pool generation process that can generate hundreds of stable pools in a single campaign. The lead pools can then be directly advanced to single cell cloning and/or bioreactor production, accelerating the path to clinic by months.

"The disconnect between discovery and manufacturing is one of the biggest frustrations we hear from partners. As the industry shifts toward multispecifics and other complex architectures, the predictive gap between transient and stable expression has widened, often leading to costly late-stage failures," said Alec Nielsen, co-founder and CEO of Asimov. "With Rapid Pools, we are effectively bringing manufacturing ‘truth’ upstream to enable smarter lead optimization and candidate selection."

Asimov has expanded its CHO Edge portfolio to support customers throughout the therapeutic journey, with offerings spanning molecule design and cell line development to early look material generation and process development. Recently, Asimov successfully completed its first Rapid Pools customer campaign, which generated critical insights that impacted candidate selection. 

To learn more about accessing CHO Edge Rapid Pools as a high-throughput service or via in-licensing, please visit https://www.asimov.com/cho-edge-expression-system.

About Asimov 

Asimov’s mission is to advance humanity’s ability to design living systems, enabling biotechnologies with outsized societal benefit. The company is developing a synthetic biology platform – from cells to software – to design and manufacture next-generation therapeutics, including biologics, cell/gene therapies, and RNA through a combination of products, services, and collaborations. 

Founded by bioengineers from MIT and Boston University and headquartered in Boston, the company has raised over $200 million from top institutional investors including Andreessen Horowitz, CPP Investments, Horizons Ventures, and Fidelity Management & Research Company. For more information, visit www.asimov.com.

Highlights

  • Virtual Private Network (VPN): Users connect to the cluster, provide some credentials and are then able to access internal tools.
  • Single Sign-On: A tool like Kerberos allows you to use the same account across various components.
  • Home-grown user accounts: You implement an authentication system and users have a separate username/password for your computing infrastructure.

Asimov, the synthetic biology company building a full-stack platform to program living cells, announced today it has been awarded a contract as part of the Defense Advanced Research Projects Agency (DARPA) Automating Scientific Knowledge Extraction (ASKE) opportunity.

Through ASKE, Asimov will work to develop a physics-based artificial intelligence (AI) design engine for biology. The goal of the initiative is to improve the reliability of programming complex cellular behaviors.

“To achieve truly predictive engineering of biology, we require dramatic advances in computer-aided design. Machine learning will be critical to bridge genome-scale experimental data with computational models that accurately capture the underlying biophysics. As genetically engineered systems grow in complexity, they become difficult for humans to design and understand. For simple genetic systems with only a couple of genes, synthetic biologists typically use high-throughput screening and basic optimization algorithms. But to engineer more complex applications in health, materials, and manufacturing, we need radically new algorithms to intelligently design the DNA and simulate cell behavior.”

Alec Nielsen, Phd, Asimov CEO
Over the past 50 years, DARPA has been a world leader in spurring innovation across the field of AI, including statistical-learning and rule-based approaches. We are proud to work with DARPA to advance the state-of-the-art in AI-assisted genetic engineering.

Asimov’s founders previously built a hybrid genetic engineering and computer-aided design platform called Cello to program logic circuit behaviors in cells. The ASKE opportunity will seek to support an ambitious expansion in the types of biological behaviors that can be engineered.

Asimov’s approach will leverage “multi-omics” cellular measurements, structured biological metadata, and novel AI architectures that combine deep learning, reinforcement learning, and mechanistic modeling. Over the past year, the company has ramped up hiring in experimental synthetic biology, machine learning, and data science to accelerate development of their genetic design platform.

Highlights

Headering 3

DARPA recently announced a multi-year investment of $2B into innovative artificial intelligence research called the AI Next campaign. A part of this wide-ranging AI strategy is DARPA’s Artificial Intelligence Exploration program, which was developed to help expeditiously move pioneering AI research from idea to exploration in fewer than 90 days. DARPA’s ASKE opportunity is part of this program and is focused on developing AI technologies that can reason over rich models of complex systems.

“Over the past 50 years, DARPA has been a world leader in spurring innovation across the field of AI, including statistical-learning and rule-based approaches. We are proud to work with DARPA to advance the state-of-the-art in AI-assisted genetic engineering.”

Alec Nielsen, PhD, Asimov CEO
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