Fresnel provides a software platform that consolidates genetic, genomic, and clinical data to enhance target selection in biopharma, significantly increasing the likelihood of clinical success. By offering traceable analytics and insights into the biological context and safety risks of drug targets, Fresnel enables decision-makers to make informed choices without relying on external consultants.
Funding
Funding not disclosed
Founders
Product
Problem
Biopharmaceutical companies face high failure rates in clinical trials, often due to poor target selection driven by a lack of accessible and integrated genetic, genomic, and clinical data. This reliance on "gut feel" and "expert opinion" instead of comprehensive data analysis leads to increased toxicity and reduced translational efficacy of drug candidates. Existing datasets are often isolated, of uneven quality, and difficult to access, hindering effective target assessment.
Solution
Fresnel is a software platform designed to consolidate genetic, genomic, and clinical data, providing biopharma companies with a "Bloomberg for Biology" to enhance target selection. The platform offers traceable analytics and insights into a drug target's genomic association with disease, biological context, druggability, potential safety risks, and the competitive landscape of clinical trials. By making this data easily accessible with clear provenance, Fresnel enables informed decision-making without the need for external consultants or computational biologists, increasing the likelihood of clinical success.
Target Audience
Fresnel targets founders, executives, scientists, and investors in the biopharmaceutical industry who need to make informed decisions about drug target selection.
Features
- Comprehensive genetic data linking genes to diseases, enabling prioritization of targets with strong genetic links.
- Identification of potential off-target effects and safety risks using human genetics data.
- Detailed biological information, including gene function, genetics, and historical context.
- Mapping of gene interactions and pathways to understand target relationships.
- Gene expression analysis across various cell and tissue types to optimize targeting and minimize liabilities.
- Clinical trial data mapping drug development timelines and competitive landscapes for specific targets.
- Transparent and traceable analytics to ensure confidence in findings.