- Specialization
- Biotechnology
- Business
- Model Development
- Market
- Life Sciences
- Ecosystem
- AI for science
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- AI for science
- Business
- Model Development
- Specialization
- Biotechnology
- Market
- Life Sciences
- Customers
- Enterprises
- Delivery models
- Not classified
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- $1M-$10M
About
Cassidy Bio builds an AI-driven genomic foundation model and programmable platform for designing therapeutic gene-editing systems. It targets therapeutic gene-editing partners, differentiating through proprietary wet-lab data, population-scale genomics, and closed-loop prediction and validation that ranks designs for safety and efficacy.
Market
Cassidy Bio competes in AI-enabled computational design software for therapeutic genome editing and genetic medicines, positioning itself as an intelligence layer and programmable, end-to-end design platform rather than a single guide-design utility. Its differentiation is the combination of proprietary therapeutic-condition wet-lab and NGS data, a model trained on 70,000 genetically diverse genomes with population-aware safety, and closed-loop predictions spanning guides, editors, delivery context, efficacy, safety, and repair outcomes; this is broader than narrower guide-design tools such as Benchling and editor-design platforms such as Profluent.
Primary customers are biotech and pharmaceutical R&D organizations developing therapeutic gene-editing medicines, especially teams responsible for gRNA and editor selection, genomic-variation assessment, cell-type matching, and multiplex-edit planning. The likely buyers are genome-editing, computational-biology, or translational-development leaders seeking to reduce experimental design cycles; the evidence points to partner organizations rather than consumers or general-purpose research users.
At a Glance
Problem
Genome-editing medicines are difficult to design reliably because teams must navigate guide-RNA selection, editor choice, patient-specific genomic variation, repair outcomes, safety, and delivery context. Cassidy frames the central pain as a process built on multi-year, multi-team trial-and-error: the apparent speed of the bespoke CRISPR therapy that saved Baby KJ in early 2025 depended on extensive prior experimentation and international collaboration. The economic burden is therefore the time and resources required to identify viable therapeutic candidates, as well as the cost of delaying potentially life-saving treatments.
The killer use case is making bespoke or otherwise highly tailored genome-editing therapies reproducible rather than one-off successes. Cassidy aims to give therapeutic developers clinical confidence at the earliest design stage, helping them choose patient-fit guides and editors and move from years of experimentation toward weeks or days of predictive selection.
Product / Service
Cassidy offers a partner-facing computational platform positioned as an “intelligence layer for gene editing.” Its specialized genomic foundation model is designed to engineer complete genome-editing systems, spanning guide design, enzyme selection, genomic variation, and delivery contexts. The company says its platform shortlists candidates across these dimensions and enables partners to move faster and smarter in therapeutic gene editing; its website also promotes an online guide-design prediction tool.
The model is built through a closed loop of biology and computation. Cassidy generates proprietary wet-lab data using high-throughput assays and NGS validation, trains the model on 70,000 genetically diverse human genomes, predicts efficacy, safety, repair outcomes, and genomic diversity in silico, and feeds experimental results back into the system. The intended benefit is to reduce trial-and-error from years to days or weeks while embedding population-aware safety and contextual knowledge into the design process.
Market
Cassidy competes in the emerging market for AI-enabled computational genomics and genome-editing design software, serving biotechnology and therapeutic-development partners rather than selling an approved therapy itself. The company’s positioning is differentiated around an end-to-end genomic foundation model for therapeutic editing. The supplied company material does not identify specific direct competitors, so Cassidy’s precise competitive set cannot be established from the available evidence.
Cassidy says it was founded in 2024, and its site presents a live prediction-tool demo and states that it is backed by investors. These are signs of an early-stage platform seeking adoption, but the available material does not disclose revenue, paying customers, partnerships, financing amounts, or clinical programs. It is therefore best characterized as pre-revenue or revenue-undisclosed and early commercial, rather than as a company with demonstrated market traction. Its opportunity is supported by a still-nascent therapeutic category: the site describes CASGEVY as the only genome-editing therapy on the market at the time of its cited timeline, underscoring the large gap between research breakthroughs and scalable approved medicines.
Founders & Leadership
Funding History
Ahren Innovation Capital
Recent News
Axios reported that Israeli gene-editing company Cassidy Bio raised an $8 million seed round. Ahren Innovation Capital led the round, with participation from Lool Ventures and 10D VC.
CRISPR Medicine News published Cassidy Bio’s launch announcement, including details of its $8 million seed financing led by Ahren Innovation Capital. The company said the funding would advance an AI-first platform continuously trained and validated through wet-lab experimentation.
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Get notified when they postBusiness Model
Cassidy Bio appears to use a B2B partnership model, providing therapeutic gene-editing developers access to its predictive design platform and genomic intelligence. Public materials do not disclose specific subscription, licensing, usage-based, or milestone pricing.
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Key Investors
Ahren Innovation Capital, Lool Ventures, 10D VC, AstraZeneca, Merck KGaA