Datasets
Buyer room
DOCS.SOV.AIManage supplier listing
Sov.ai — Model-derived clinical-trial outcome dataset delivered as two joined endpoints. clinical/trials carries roughly 75 metadata fields per trial (sponsor, condition, intervention type and name, trial status, key dates); clinical/predict attaches to those trials a predicted probability of success, an expected duration, a modelled economic impact including potential market reaction, a composite success score and a sponsor class. Built from regulatory filings and biochemical data using deep-learning encoders and language models, refreshed weekly on Fridays as filings become available, index…
supplier index read from their site
Model-derived clinical-trial outcome dataset delivered as two joined endpoints. clinical/trials carries roughly 75 metadata fields per trial (sponsor, condition, intervention type and name, trial status, key dates); clinical/predict attaches to those trials a predicted probability of success, an expected duration, a modelled economic impact including potential market reaction, a composite success score and a sponsor class. Built from regulatory filings and biochemical data using deep-learning encoders and language models, refreshed weekly on Fridays as filings become available, indexed by ticker and date with full history callable in one request. The vendor reports 87% ROC-AUC and claims the highest among commercially available solutions.
From 27 yearsCoverage Financials · Health CareAsset class Equities · Options
Sample, licence terms, pricing and eval results when Sov.ai publishes them. Until then, discover alternatives today with a 7-day trial.
Start 7-day trial →What buyers ask about Sov.ai, answered from this page.
Sov.ai — Model-derived clinical-trial outcome dataset delivered as two joined endpoints. clinical/trials carries roughly 75 metadata fields per trial (sponsor, condition, intervention type and name, trial status, key dates); clinical/predict attaches to those trials a predicted probability of success, an expected duration, a modelled economic impact including potential market reaction, a composite success score and a sponsor class. Built from regulatory filings and biochemical data using deep-learning encoders and language models, refreshed weekly on Fridays as filings become available, index…
Sov.ai offers (Alternative, Fundamental, Sentiment) — Coverage of 850-plus tickers with history from 1 November 1999, i.e. roughly 27 years, at an intake the vendor puts at ~1,052 newly launched clinical trials per week. That cadence alone implies order 50,000 new trials per year and, over the full window, a trial panel plausibly in the hundreds of thousands of records, each carrying roughly 75 descriptive fields plus five or more model outputs, joined to a ticker/date key..
Pre-readout positioning in biotech single names using a published-probability success signal ahead of data; portfolio screening and prioritisation of high-probability trials across 850-plus tickers; economic-impact and market-reaction modelling for event sizing; risk assessment and regulatory/compliance monitoring across a sponsor's programme; long-book filtering against predicted failure; and as a labelled external benchmark or feature set against a buy-side house's own internal trial-success model, since a third-party ROC-AUC of 0.87 is a usable comparison point.
The data is with 27 years of history.
Coverage spans US; Financial Exchanges & Data, Health Care Technology; alternative, fundamental, sentiment; equities, options.
Sov.ai has not added their own details yet. Not yet on file: