Phase
Discovery & Early R&D
Discovery begins with questions that rarely come with clean answers. Most teams drown in data long before they reach a clear direction. At this stage, speed and biological depth determine who advances and who stalls. BioLizard helps research groups transform scattered evidence into insight that actually moves programs forward.
What companies need at this stage
Teams look for targets that matter, signals they can trust, and biology that holds up once the experiments begin. They need reliable evidence for indication expansion, an early read on mechanism, and a rapid way to test ideas before committing resources.
BioLizard solutions
- Single-cell and spatial analysis to map where targets act in real tissues.
- Literature mining through Bio|Reflect®to uncover published signals, hidden associations, and competitive landscapes.
- Multi-omics integration through Bio|Mx® to validate hypotheses with combined molecular evidence.
- Protein and antibody informatics for rational engineering.
- Causal and pathway analysis to show how biology connects.
Relevant Bio|Verse® modules
Discovery projects can bedirectly integrated into Bio|Mx®, Bio|Reflect®, and our exploration dashboards. These give researchers a transparent view of targets, pathways, disease context, and early biomarker patterns.
Explore →
Modular offerings
Target expression mapping | Atlas-based insights | Biomarker hypothesis modules | Off-target detection | Antibody engineering workflows
Explore all solutions →
Exploring target expression and identifying other indications with a similar mode of action
The client wanted to study the expression of their target gene within two known indications and to uncover other diseases where the target has a similar mode of action. Identifying comparable indications could strengthen the business case for further development. Our...
Identifying virulence factors in an opportunistic pathogenic bacterium
The client wanted to confirm and identify virulence factors in a gut bacterium that normally resides harmlessly in animals but can cause infection under stress or immunosuppression. Population structure complicated the distinction between pathogenic and commensal...
Unlocking immunogenicity insights from clinical reports with NLP
Most information about the immunogenicity of therapeutic peptides is locked in unstructured clinical reports. The client wanted to extract and structure this data to inform development of safe and effective treatments. Our Approach We built a robust extraction...