Beyond the registry
Safety and efficacy,
alongside the trial.
See what happened in trials with disclosed results, then trace each result back to its source.
Trials
SafetyEfficacy
SourcesThe Gosset platform
Pharma intelligence,
from evidence to decision.
Search connected pharma data, investigate the evidence and build research reports. One place to work through your next target, disease or asset.
The data behind the platform
Connected data, down to the trial outcome.
Our knowledge graph connects drugs to their sponsors, trials, deals, indications, targets and modalities.
- Company records
- 190K+
- Drug records
- 150K+
- Trial records
- 1M+
- Trials with results
- 90K+
- Deal records
- 180K+
Safety and efficacy,
Built for drug development
Search at the level
your question needs.
Proprietary ontologies organize diseases, targets and modalities into detailed classifications for precise retrieval.
- Diseases
- 7,163
- Targets & classes
- 8,795
- Modality classifications
- 598
Find the programs that fit your question.
Start with a target, disease or modality. Follow each asset into its clinical evidence, ownership and development history.
Built-in research workflows
Turn a question into a report.
Choose the work you need done, then describe your target, disease or asset. Each workflow uses its own research approach and output format.
See the output
Open a finished report.
Review the analysis, evidence and format in these existing Gosset examples.
See the analysis
Anti-PD-1 resistance in melanoma
A mechanism map from a public Gosset deep research report.
Open sample report
- Slide deck
Asset evaluation
Full due-diligence assessment of a drug asset: thesis, evidence, competitive landscape, IP, pricing, and risks.
ExampleFrexalimab (anti-CD40L) for relapsing multiple sclerosis
View deck - Google Sheets
Head-to-head results
Side-by-side comparison of trial outcomes for a drug class or indication.
ExampleIL-13 vs IL-4Rα biologics in atopic dermatitis (EASI-75, IGA 0/1)
Open spreadsheet - Written report
Standard of care
The current standard of care for a given disease, grounded in drug labels and treatment guidelines.
ExampleGeneralized myasthenia gravis (FcRn & complement inhibitors)
Read report
Also available in your AI assistant.
Bring Gosset’s data into ChatGPT or Claude when you want to research in a conversation.
Install in ChatGPT 
Install in Claude