We collaborate with top pharmaceutical partners to unlock the full potential of complex antibody constructs across a broad range of indications.
Powered by the combination of high-throughput experimentation and machine learning (ML) our EVA™ platform uncovers unique, high-performing designs that are not accessible through traditional methods — opening up new regions of the design space for therapeutic innovation.
Our approach is grounded in partnership, combining partner expertise with EVA™’s ability to design, build and test thousands of final-format multispecific constructs in weeks. Together, we explore design space at a scale and resolution conventional methods can’t reach to deliver transformative medicines to patients who need them most.
Two distinct routes, structured around where you are in the discovery journey — from a therapeutic target on a whiteboard, to a known asset that needs sharper properties.
Partners bring a therapeutic target and work alongside LabGenius to discover and develop a novel antibody from the ground up. By combining LabGenius’ ML–driven EVA™ platform with deep therapeutic and translational expertise from our partners, we jointly design and optimise entirely new assets. This integrated approach enables the rapid exploration of complex design space, unlocking differentiated candidates with the potential to address the most challenging molecular product profiles.
Partners leverage the EVA™ platform to enhance and refine existing antibody assets. Starting from a known molecule, we apply combine our ML capabilities with high-throughput experimentation to systematically co-optimise key properties such as efficacy, selectivity (safety), and developability. This allows partners to maximise the value of their pipelines, unlocking improved performance and accelerating progression toward clinical development.
Multispecific / multivalent constructs characterised
Design–build–test–learn cycles
Unique architectures explored in silico
We design, produce, test and learn from 3,000+ final format antibody constructs in a six-week cycle, uncovering high-performing multispecific and multivalent designs that conventional approaches miss.
We assemble multispecific antibodies for direct validation in their final therapeutic configurations, so performance data reflects clinical reality, not isolated binder activity.
Our ML models explore millions of theoretical antibody architectures simultaneously, optimising across efficacy, safety, and manufacturability in one unified workflow.
We generate highly selective multispecific antibodies with optimised safety windows against targets historically limited by on-target, off-tumour toxicity.
“This collaboration with LabGenius reflects LG Chem’s commitment to advancing innovative approaches in oncology. By combining LabGenius’ AI/ML-driven antibody discovery platform with our development expertise, we aim to accelerate the creation of differentiated, tumour-targeted therapies with the potential to address significant unmet needs in solid tumours.”
Vice President and Head of Business Unit, Research and Development Group
“LabGenius successfully delivered an exciting and innovative example of NANOBODY® optimisation using ML. This perfectly complements Sanofi’s Large Molecule Research strategy to infuse all aspects of biologics discovery and development with the latest in computation and AI.”
Global Head of Digital and Biologics Strategy

