Hu-mAtrIx™ AI-Powered Antibody Discovery & Development Platform

The Right Decisions with AI-guided Lead prioritization

Smarter decisions, more efficient workflows

Hu-mAtrIx™ is an AI-enhanced platform built on the clinically validated Harbour Mice® system, functioning as an integrated enhancement layer that strengthens decision-making efficiency across multiple stages of antibody discovery and optimization while remaining anchored to proven in vivo biology.

Harbour Mice®

Built on Fully human H2L2 and HCAb platforms with global IP protection and clinical validation, forming the biological foundation of all Hu-mAtrIx™ applications

Training Data

Trained on large-scale proprietary HCAb libraries (>9M sequences), public protein sequence datasets (~50M), and target-specific experimental binding data derived from Harbour Mice® discovery programs

Multi-Stage AI

Model-driven insight applied across multiple discovery and optimization stages, including candidate prioritization, affinity refinement, and developability assessment

AI-ENHANCED ANTIBODY DISCOVERY & OPTIMIZATION WORKFLOW

Diagram showing how Hu-mAtrIx™ integrates with the Harbour Mice® antibody discovery workflow, embedding AIbased binding prediction, biophysical assessment, sequence diversification, developability optimization, and immunogenicity prediction to accelerate therapeutic antibody development

Lead prioritization within Harbour Mice® discovery

During early discovery, Harbour Mice® immunization and NGS screening generate large pools of candidate antibodies. Hu-mAtrIx™ supports this stage by prioritizing candidates based on predicted binding potential, sequence diversity, and early biophysical signals, helping focus experimental efforts on the most promising leads. This reduces experimental burden and accelerates hit-to-lead decisions while preserving the underlying in vivo discovery workflow.

AI-guided affinity maturation

Once binders are identified, Hu-mAtrIx™ supports affinity maturation by evaluating local sequence space around validated antibodies. Predictive analyses guide selection of variants with improved binding while preserving developability, helping ensure that affinity gains do not introduce downstream liabilities.

Developability by Design

Late-stage failures are often driven by developability issues such as instability, aggregation, or poor expression. Hu-mAtrIx™ helps identify these risks early by predicting and flagging potential liabilities during discovery and optimization, enabling problematic candidates to be deprioritized or refined before significant downstream investment.

Selective AI-assisted antibody discovery for challenging targets

In select cases where conventional immunization-based discovery is predicted to be difficult, Hu-mAtrIx™ can be applied in parallel to explore complementary antibody sequence space. This AI-assisted approach is used selectively, benchmarked against Harbour Mice®–derived antibodies, and followed by experimental validation.

Strengthen antibody discovery with better insights

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