Twist Bioscience vs Insilico Medicine
Side-by-side comparison of AI visibility scores, market position, and capabilities
Synthetic DNA manufacturing platform on silicon chips; $376M FY2025 revenue (+20% YoY). Supplies synthetic genes to 3,000+ customers across biotech, pharma, and AgBio.
About
Twist Bioscience was founded in 2013 in San Francisco by Emily Leproust, Bill Banyai, and Bill Peck, pioneering a silicon-based DNA synthesis platform that writes synthetic DNA at a fraction of the cost and error rate of conventional methods. By printing DNA on silicon wafers using a semiconductor-like process, Twist dramatically reduced the cost of synthetic genes from hundreds to single-digit dollars per gene, democratizing access to DNA writing for the life sciences.\n\nTwist serves over 3,000 customers across biopharmaceuticals, academic research, agriculture, and industrial biotechnology, offering synthetic genes, variant libraries, DNA data storage oligos, and antibody libraries for drug discovery. The company reported $376.6 million in FY2025 revenue, up 20% from $313 million in FY2024, driven by strong growth in its biopharma and drug discovery segments. Twist also operates a growing antibody drug discovery business, providing synthetic antibody libraries that power next-generation therapeutic discovery programs.\n\nTwist has a supply agreement with Ginkgo Bioworks for synthetic DNA to fuel Ginkgo's cell engineering platform, revised in 2025. The company is executing toward profitability, with improving gross margins as manufacturing scale increases. Its silicon-based DNA synthesis platform positions it as critical infrastructure for the emerging bioeconomy, synthetic biology, and DNA data storage industries.
Insilico Medicine (HKEX: 3696) raised $293M, posted $56.2M revenue in 2025, and inked a $2.75B Eli Lilly deal in 2026 using generative AI to discover drug targets in cancer and CNS.
About
Insilico Medicine is a clinical-stage biotechnology company founded in 2014 that leverages generative AI for drug discovery and development. Headquartered in Boston with offices in Hong Kong and New York, the company has built AI platforms utilizing deep generative models, reinforcement learning, and transformers to discover novel drug targets and generate molecular structures with desired properties. Its pipeline spans cancer, fibrosis, CNS diseases, infectious diseases, autoimmune conditions, and aging-related diseases.
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