Fully Automated AI Solutions for Biotech

Access a data ocean, covering 95% of the world-wide web, through Innoplexus’ discovery engine, which is powered by a proprietary life sciences-specific ontology. The ontology empowers users to perform context-based rather than keyword searches, and generate insights faster.

Explore connections between biological entities like drugs, diseases, genes, pathways, and discover previously unknown associations. Deep-dive to the sources for better understanding, make informed decisions based on novel hypotheses.

Predict and optimize toxicity properties of molecules by leveraging a machine learning approach to Quantitative Structure-Activity Relationship (QSAR).

Leverage the power of artificial intelligence and Innoplexus’s life sciences data ocean, to validate the biological activity of new molecular entities and determine druggability scores.

Use Innoplexus’ full capabilities, including identifying connections between biological entities, predicting toxicologies, validating the biological activity of new molecules, estimating clinical trial costs, and assessing the competitive landscape to determine drug assets most likely to demonstrate efficacy, safety, and commercial success.

Utilize Innoplexus’s patent and grant landscape capabilities to find opportunities for drug development and funding. Search for patents in specific therapeutic areas and countries to gain market and competitor insights. Access available grants to find relevant funding sources.

Identify new opportunities for assets languishing on-the-shelf or approved drugs by leveraging Innoplexus’s life sciences data ocean and ontologies to identify new indications. Additionally, gain insights into pathways that can be targeted with already developed mechanisms of action.

Leverage Innoplexus’s life sciences data ocean, which covers over 95% of the world-wide web, to discover novel therapies by identifying the connections and interactions between closely and distantly related genes, pathways, molecular targets, and drugs.

Access untapped KOL networks. Identify Top vs. Emerging KOLs and filter them by therapeutic area, location, publications, clinical trials, relationships with pharmaceutical competitors, and numerous customizable filters. Determine which KOLs to engage with based on four KOL archetypes Innoplexus has identified: Commercial, Clinical, Thought-leaders, and Public Speakers.

Identify and select clinical trial sites based on site’s involvement in past trials by drug phase and indication, number of associated scientific KOL, proximity to patient populations, and hospital features (departments present, hospital beds, etc.).

Accelerate the development of robust clinical trials by quickly comparing trials from over 100+ databases, including clinicaltrials.gov. Connect the outcomes of clinical trials, such as progression to subsequent phases, regulatory approval, and payer decisions with the trial parameters such as trial duration, sample sizes, endpoints, inclusion / exclusion criteria, and others to determine the optimal trial design.