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Antiverse Raises $9.3M for AI Antibody Scaling

Antiverse Raises $9.3M for AI Antibody Scaling
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#biotech-funding#antibody-discoveryantiverse-ai-antibody-discovery-platform

๐Ÿ’กAI biotech funding boom: $9.3M scales antibody discovery platform for comp bio devs

โšก 30-Second TL;DR

What Changed

Antiverse closes $9.3M Series A led by Soulmates Ventures

Why It Matters

This funding underscores rising investor confidence in AI for biotech drug discovery, potentially speeding up novel antibody therapies. AI practitioners in computational biology can leverage similar tech for faster R&D pipelines.

What To Do Next

Explore Antiverse collaborations via their website for AI biotech antibody projects.

Who should care:Researchers & Academics

๐Ÿง  Deep Insight

Web-grounded analysis with 8 cited sources.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขAntiverse was co-founded in 2017 by CEO Murat Tunaboylu in Cardiff, UK, with offices in Boston, MA.[5][6]
  • โ€ขThe company previously raised ยฃ3.5M ($4.6M) in seed funding, supported by Kadmos Capital and others, to improve platform accuracy and data curation.[3][4]
  • โ€ขAntiverse has partnerships with three top 20 global pharmaceutical companies and a collaboration with GlobalBio yielding two preclinical immune checkpoint inhibitors.[3][6]
  • โ€ขCEO Murat Tunaboylu highlighted that one-third of FDA-approved drugs target GPCRs, yet few antibodies exist despite decades of research.[3][4]

๐Ÿ› ๏ธ Technical Deep Dive

  • โ€ขPlatform uses target-specific libraries generated from structural and sequence data for high-confidence antibody design against GPCRs and ion channels.
  • โ€ขCombines machine learning, phage display, next-generation sequencing, and advanced cell line engineering expressing millions of target receptors.
  • โ€ขGenerative models trained over 7 years on challenging targets enable multiparameter clustering for epitope-specific, high-affinity, and humanized antibodies.
  • โ€ขIn silico process outputs functional binders in 6 months by predicting sequences with high binding probability without pre-existing data.

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

Antiverse will advance at least two internal antibody programs to preclinical validation by 2027
Series A funding explicitly targets progression of lead programs from computational design to in vivo studies, building on existing preclinical candidates from partnerships.
AI platforms like Antiverse's will capture 20% of GPCR antibody discovery market by 2030
Focus on intractable targets like GPCRs, where traditional methods have failed despite heavy investment, positions AI-driven approaches to disrupt a segment representing one-third of FDA drugs.

โณ Timeline

2017-01
Co-founded by Murat Tunaboylu in Cardiff, UK, to engineer AI drug discovery.
2022-12
Raised ยฃ1.4M ($2M) seed funding for computational antibody platform.
2024-01
Secured ยฃ3.5M ($4.6M) funding led by Kadmos Capital; announced GlobalBio collaboration.
2024-03
Extended partnership with GlobalBio, advancing two preclinical cancer antibodies.
2026-03
Closed $9.3M Series A led by Soulmates Ventures to scale platform and in vivo studies.
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Original source: The Next Web (TNW) โ†—