EVA™ Platform
ML-driven antibody discovery engine for rapid identification and co-optimisation of complex therapeutic antibodies
Company profile
Company profile
LabGenius Therapeutics is a biotechnology company that has developed the EVA™ platform, a highly automated discovery engine that enables the rapid identification and co-optimisation of complex therapeutic antibodies across multiple key properties. The company combines human and machine intelligence to address the challenge that molecule performance is governed by a complex interplay of factors, making complex antibodies like multispecifics hard to engineer using conventional methods. LabGenius's platform is both modality and format-agnostic, but for its internal pipeline, the company focuses on the development of selectivity-enhanced antibodies for the treatment of solid tumours. The EVA™ platform tightly integrates machine learning with automated functional screening in a closed loop, using proprietary ML-grade data from both functional and developability assays to fuel Multi-Objective Bayesian Optimisation. This approach enables the company to rapidly evaluate large numbers of multispecifics (>100,000 designs) for both function and developability, with each design-build-test-learn cycle taking less than 6 weeks. The platform can work with any modality including T-cell engagers, ADCs, NK-cell engagers, TCR-based engagers, agonists, cell therapies, radioconjugates, and multispecifics. LabGenius has raised over $75 million from top-tier venture capital firms and has established R&D partnerships with leading pharmaceutical companies including LG Chem.
Company description LabGenius official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
On Premise deployment with recorded integration context.
Company milestones
Research collaboration, option and license agreement with LG Chem to develop an AI/ML-designed tumour-targeting antibody (June 2026)
Partnerships
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
ML-driven antibody discovery engine for rapid identification and co-optimisation of complex therapeutic antibodies
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
BioTechniques · Jan 1, 2026
Engineering multispecific antibodies with complete killing selectivity through the closed-loop integration of machine learning and high-throughput experimentation.mAbs · Dec 1, 2025
Best practices for machine learning in antibody discovery and development.Drug discovery today · Jul 1, 2024
Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions.mAbs · Jan 1, 2024
Attenuation of reverse transcriptase facilitates SAMHD1 restriction of HIV-1 in cycling cells.Retrovirology · May 1, 2023
Heterogeneity of the GFP fitness landscape and data-driven protein design.eLife · May 5, 2022
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
for therapeutic antibodies targeting solid tumours
per discovery cycle for function and developability
design-build-test-learn cycle time
per antibody panel produced and tested
Research collaboration, option and license agreement to develop an AI/ML-designed tumour-targeting antibody
05 · Leadership
Leadership profiles and professional links from the current Company record.
James Field
Chief Executive Officer
Hannah Seitz
Chief Business Officer
Angus Sinclair
Chief Scientific Officer
Michael Mullin
Head of Antibody Engineering
Catherine Howsham
VP, Projects and Portfolio Delivery
Winston Haynes
VP, Computational Sciences and Engineering
Dan Foxler
Head of Cell Biology and Assay Development
Mohammad Akhlaq
Head of Automation
06 · Company updates
Recent articles published on LabGenius's official website.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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