Discovery
Made Simple
Our proprietary Knowledge Mapping technology employs spatial and heuristic reasoning across billions of interconnected entities.
It’s easy-to-use and helps to discover hidden relationships between genes, diseases, pathways, drugs, companies, people and technologies.
Knowledge Map
Like an AI-enabled research assistant, Knowledge Maps gather documents and data according to explicit criteria, enabling the user to find connections across the biomedical universe. The Knowledge Map is the core of our platform and satisfies many use cases, including:
- Basic research
- Translational research
- Literature review
- Hypotheses generation
Drug Discovery
Our Drug Map connects drugs and chemicals to targets and indications through the lens of bioavailability, trials, SARs and PG effects. We provide detailed data on interactions that make it a highly efficient tool for in silico analysis, including:
- Target identification
- Drug repurposing
- PK/PD modelling
- Drug safety & efficacy
Competitive Intelligence
We provide users with a 360 degree view of the competition: from companies to drugs, clinical trials and regulatory approvals. This information is essential for developing market entry strategies and due diligence.
- Early discovery → IND → approval
- 5,000+ companies, start-ups to major pharma
- Manually curated from direct sources
- News, patents, outcomes and catalysts
KOL Map
Our KOL finder helps to quickly identify life science professionals with a myriad of facets and filters. Our platform finds and relates academics, principal investigators, and corporates at all levels, and relates them among their peers and colleagues, deals, funding, exits, discoveries, diseases, drugs, and technologies.
- Basic people search
- Company directories
- Article, patent and trial finders
- Weight, rank and visualize
Trials Map
Our Trials Map extrapolates outcome, endpoint and safety data from global clinical trials for competitive risk assessments, as well as numerous tools that measure complex interactions, enabling pipeline, biomarker and cross-therapy mapping, and can be used for:
- Outcome measurements
- Recruitment rates
- Adverse events
- Treatment analysis
Omics Analysis
This tool can identify pathways that are enriched by and overlap with one or more genes, and provides analysis and statistics across multiple databases, and is species-specific. The added ability to connect gene variants (SNVs, Indels, Deletions, CNAs) with known cancer biomarkers, allows for:
- Gene enrichment analysis
- Pathway identification
- Variant analysis
- Clinical interpretation
PhenoMap
Extracting data from thousands of documents is an arduous task. Our platform easily extracts high-frequency themes across documents to reveal common associations among genes, pathways, drugs and diseases.
- Shortcut for biomarker discovery
- Output and visualization
- Pre-select publication cohorts
- Multi-criteria