Biolojic Design vs LabGenius (2026)

AI Health Index verifiedOctober 9, 2026
Verdict

Both design multispecific antibodies with machine learning and run a mix of partnered and in house programs, and they emphasize different things. Biolojic Design engineers antibodies with designed functions, agonists, antagonists, conditional binders and its multibodies that bind more than one target on a single arm, and its approach has reached a human trial through AU-007 with Aulos Bioscience. Its programs include TEV-325 with Teva and a collaboration with Merck KGaA. LabGenius pairs its EVA machine learning engine with laboratory robotics, focused on T cell engagers for solid tumors where the problem is hitting the tumor without harming healthy tissue, and its lead is LGTX-101, a Nectin-4 by CD3 engager, with an LG Chem collaboration. Biolojic is the one for antibodies with a designed mechanism and a route to the clinic already shown. LabGenius is the one for tumor selective T cell engagers built through an automated design and test loop.

The case for Biolojic Design
  • Antibodies engineered as functional switches, including multispecific multibodies on a single arm.
  • A platform whose design reached a human trial through a partner, AU-007 with Aulos Bioscience.
  • Named programs in autoimmune disease and cancer, with Teva and Merck KGaA.
The case for LabGenius
  • An automated machine learning and robotics engine, EVA, focused on tumor selective antibodies.
  • A lead T cell engager, LGTX-101, targeting Nectin-4 and CD3 for solid tumors.
  • A collaboration with LG Chem against a solid tumor antigen, with its own pipeline alongside.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Biolojic Design and LabGenius are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded

At a Glance

Plain facts

Fact Biolojic Design LabGenius
Primary category Drug Discovery AI Drug Discovery AI
Founded Not recorded 2012
Headquarters Rehovot, Israel London, United Kingdom
Website biolojic.com labgeni.us
Attribute Matrix

Side by Side

Axis
B
Biolojic Design
L
LabGenius
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

Each record in one paragraph

Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.

Biolojic Design

The AI Health Index awards Biolojic Design its top capability grade on AI Centrality. Set against LabGenius, Biolojic Design grades higher on Clinical and Operational Evidence. Its thinnest published disclosure sits on several axes, including AI Safety and PHI Stewardship, HIPAA and BAA Posture and Security Certifications and Trust Center. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, October 2026

LabGenius

The AI Health Index awards LabGenius its top capability grade on AI Centrality. Set against Biolojic Design, LabGenius does not grade higher on any scored axis, though the two are level on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Its thinnest published disclosure sits on several axes, including AI Safety and PHI Stewardship, HIPAA and BAA Posture and Security Certifications and Trust Center. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.

Source: AI Health Index, October 2026

FAQ

Questions buyers ask

Should we choose Biolojic Design or LabGenius?

The AI Health Index grades Biolojic Design higher than LabGenius on every axis that separates them, Clinical and Operational Evidence. LabGenius does not grade higher on any scored axis.

Where do Biolojic Design and LabGenius differ most?

The widest separation the AI Health Index records between Biolojic Design and LabGenius is on Clinical and Operational Evidence, where Biolojic Design grades B and LabGenius grades C. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.

Where do Biolojic Design and LabGenius grade the same?

The AI Health Index grades Biolojic Design and LabGenius the same on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.

What have Biolojic Design and LabGenius not disclosed?

At the last review, at least one of Biolojic Design and LabGenius published thin or absent detail on several axes, including AI Safety and PHI Stewardship, HIPAA and BAA Posture and Security Certifications and Trust Center. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.

Keep Comparing

Related comparisons

Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Drug Discovery AI page.

Disclosure

Both records were reviewed in October 2026. Neither publishes a price, and both run a mix of partnered and wholly owned programs.

Ask both which programs have advanced and through whom, and how each reports the designs that did not work.