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Quiver Bioscience Secures Non-Dilutive Funding to Enhance CNS Genetic Medicine Drug Discovery Platform Capabilities and Advance Powerful AI/ML-Based In Vitro / In Silico Predictor of CNS Drug Safety

Quiver Bioscience Secures Non-Dilutive Funding to Enhance CNS Genetic Medicine Drug Discovery Platform Capabilities and Advance Powerful AI/ML-Based In Vitro / In Silico Predictor of CNS Drug Safety

July 8, 2025 Craig Etkin

CAMBRIDGE, Mass.–(BUSINESS WIRE)–Quiver Bioscience (“Quiver”), a discovery technology and therapeutics company advancing programs for treatment of serious central nervous system (CNS) disorders and chronic pain, today announced receipt of a Small Business Innovation Research (SBIR) grant from the National Institutes of Health (NIH). The Phase II grant, awarded by the National Institute of Neurological Disease and Stroke (NINDS) is titled “Safe-OPTION: Optical Physiology To Interrogate Oligonucleotide Neurotoxicity.” It will provide Quiver with $2.15 million over three years to continue development of an integrated platform for improved prediction of safety and tolerability of CNS-targeted antisense oligonucleotide (ASO) therapeutics.

ASO therapeutics are increasingly being developed for the treatment of neurological conditions, as they offer precision regulation of disease target activity. Despite demonstrated clinical success of ASOs for neurological disorders, ASO drug development in this area faces the challenge of ensuring that candidates avoid modality-specific neurotoxicity, requiring lengthy preclinical safety studies in several animal species. Incorporating improved earlier predictors of ASO-induced acute and delayed onset neurotoxicity will allow for more efficient ASO drug development. Quiver has built an exceptional drug discovery platform which combines disease relevant human neuronal models, all-optical electrophysiology-based functional readouts, and AI/ML-enabled analytics to provide unique insights into neurological disorders and accelerate drug development. With the new SBIR funding, Quiver will further augment their existing ASO drug development capabilities by applying their platform to better prediction of ASO CNS toxicity using a combination of machine learning (ML)-based in silico ASO design tools and a series of all-optical electrophysiology platform-based in vitro neuronal functional assays, benchmarking their predictive algorithm with empirical data from rodent studies. This enhanced platform will accelerate the ASO drug development process by rapidly identifying lead molecules with better probability of clinical success while also reducing costs and time associated with preclinical animal studies.

Quiver’s objectives in this newly funded project are aptly aligned with the FDA’s push towards replacement of preclinical animal safety studies with New Approach Methodologies (NAMs), including in vitro human cellular systems and artificial intelligence (AI) / machine learning (ML)-based in silico models. While animal models have been historically valuable in understanding disease biology and facilitating drug development, they do have limitations including the fact that animal studies are not scalable, and they can be prohibitively expensive and time consuming. In addition, due to species-specific variations in biology, animal models may not accurately predict performance of a drug compound in humans. Advanced human cellular models have transformed the field of drug discovery in neurological disorders by allowing for the study of biological mechanisms and evaluation of drug targets in live functional neurons carrying the same genetic basis as neurons in human subjects affected by the disease. Quiver’s platform uniquely probes neuronal biology at a scale that is not possible with alternative technologies and fills a gap in the ability to directly target fundamental neurophysiological mechanisms for therapeutic discovery. With the added capabilities built partly with this new funding, Quiver now addresses the outstanding challenges associated with predicting and mitigating neurotoxicity related to ASO therapeutics.

Quiver has already leveraged their unique ASO design and in vitro screening platform to advance internal precision gene-targeted therapy programs including their lead asset, an ASO candidate targeting the genetically and clinically validated pain target Nav1.7, a voltage gated sodium channel implicated in several neuropathic pain disorders.

In addition to NIH SBIR awards, Quiver has recently received grant support from key patient advocacy and research groups who are focused on advancing precision medicines for neurological disorders. These include grants from the Dup15q Alliance, the FRAXA Research Foundation, and the KCNT1 Epilepsy Foundation in partnership with CURE Epilepsy and are all intended to support Quiver’s drug discovery programs related to each of the three CNS disorders (Dup15q syndrome, Fragile X syndrome (FXS), and KCNT1-related epilepsy, respectively). Quiver recently announced a FXS-focused research collaboration with QurAlis, which will be partially supported by the new FRAXA Research Foundation grant. These partnerships are instrumental to Quiver’s mission to accelerate transformative therapeutic discovery for both rare and common disorders of the CNS.

About Quiver Bioscience

Quiver Bioscience is a technology-driven company established to create transformational medicines for the brain while simultaneously uncovering new biology and novel, effective drug targets. Using advanced single-cell imaging and multi-omics, we are building the world’s most information-rich neuronal insight map via our “Genomic Positioning System.” Our approach integrates cutting-edge scalable human models, state-of-the-art technology and proprietary engineering, and learning and surrogate AI/ML models to identify novel therapeutic targets and the best candidate molecules to deliver new and meaningful therapeutics to patients. For more information, including partnerships and publications describing application of Quiver’s GPS to drug discovery, visit www.quiverbioscience.com or follow us on LinkedIn.

Contacts

Media Contact:
For Quiver Bioscience:
Noélle Germain
noelle.germain@quiverbioscience.com

(c)2025 Business Wire, Inc., All rights reserved.


Venture Capital
Business Wire, Cambridge, Massachusetts, Quiver Bioscience, Venture Capital

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Fabric, a leader in care delivery and consumer experience, has announced the acquisition of UCM Digital Health (UCM), a leading digital health and telehealth provider. The acquisition expands Fabric's services to about 400 new employer and payer customers, adding one million covered lives. Fabric now serves over 75 health systems, 30,000 employers, and over 100 million lives across all 50 states. This marks Fabric’s fifth acquisition in less than three years, underscoring its strategic build-and-buy approach to unify the fragmented digital health landscape. By expanding its footprint in the payer and employer markets, Fabric is extending its comprehensive care access and experience platform paired with its nationwide provider network to streamline virtual-first care, expand access, improve efficiency and outcomes, and reduce both medical and overhead costs.

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Flex is building the category-defining company solving this gap for high net worth business owners with a five-pillar strategy built around private credit, a business finance stack, a personal finance stack, payment solutions, and an ERP built for middle market businesses. These customers now use an average of four or more Flex products. Flex’s Business Credit Card, which provides 60-day float on every transaction, has been a major driver of adoption, acting as the wedge into deeper financial operations. Once owners experience the benefits of the Flex Credit Card, they often go on to adopt Flex’s banking, payments, working capital, and expense management tools to replace fragmented legacy systems. This integrated model has allowed Flex to scale with high efficiency and has created a strong foundation for its expansion into personal finance.

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Across the United States, a new industrial age is taking shape. Trillions of dollars in infrastructure, from energy projects and advanced manufacturing to data centers and critical mineral facilities, must be built in the next decade. But large construction projects are slower and more expensive today than they were half a century ago. Unlimited Industries, a California-based company using AI to rethink how infrastructure gets built, has raised $12 million in seed funding to change that. The round was co-led by Andreessen Horowitz and CIV, with participation from leading industry investors. The capital will accelerate Unlimited’s expansion and further develop its proprietary AI platform – one designed to make large-scale engineering and construction faster, cheaper, and more ambitious.

Unlike traditional construction firms or standard software companies, Unlimited is an AI-native construction company that both designs and builds. Its proprietary platform can generate and evaluate hundreds of thousands of design configurations in parallel, automatically identifying optimal layouts for cost, safety, and performance before construction begins. By integrating AI-driven design with its own vertically integrated engineering and construction teams, Unlimited eliminates the costly handoffs and misaligned incentives that have defined the industry for decades.

In a statement Alex Modon, Co-Founder and CEO of Unlimited Industries said, “Advances in AI mean we can finally build the physical world the way we build software.” “The traditional construction model is slow, brittle, and fundamentally misaligned. Our approach replaces static design choices with a dynamic, data-driven process that learns from every project. The result is faster, cheaper, and more successful projects.”

Unlimited is an AI-native construction company headquartered in San Francisco. Today, the company designs and builds across energy infrastructure, data centers, critical minerals, and advanced manufacturing, helping developers build with greater speed, ambition, and efficiency. Their mission is to build a future of radical physical abundance by automating construction end-to-end. The company was founded in 2025 by serial founders Alex Modon, Jordan Stern, and Tara Viswanathan.
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