Tinctura reads every pharmaceutical and biotech filing on SEC EDGAR, identifies deals as they are disclosed, and extracts the structured terms you would normally pull out by hand.
Pharma and biotech deals are announced in SEC filings every day. The terms that matter — upfront payments, milestone structures, royalty rates, territory rights — are scattered across exhibits, amendments, and dense legalese. Finding, reading, and structuring this data by hand is slow, expensive, and error-prone.
Tinctura monitors SEC EDGAR daily, identifies pharma and biotech deals, and extracts every material term automatically.
Every 8-K, 10-K, 10-Q, S-1, and other filing type is ingested from EDGAR as it is published. Pharma and biotech filings are identified and queued for extraction.
AI reads full exhibits and identifies deal disclosures. Structured terms are extracted: upfront payments, milestones, royalties, territory, drug candidates, and more.
Extracted data is cross-referenced with ClinicalTrials.gov and FDA databases. Drug candidates are linked to clinical phases. Confidence scores are assigned to every field.
A purpose-built workspace for pharma and biotech deal research, from discovery to analysis.
Browse the latest deals in a scrollable feed with financial highlights, drug tags, and company logos. New deals appear as filings are processed.
Find any deal by date, deal type, financial terms, indication, target, modality, or clinical stage. Combine filters to narrow to exactly what you need.
Both parties, full financials, drug candidates with clinical phase tracking, SEC exhibits, and AI-generated press release summaries. All linked to source.
Research 2,300+ pharma and biotech companies with complete deal histories, filing timelines, and partnership networks.
Benchmark deal terms across similar transactions. Compare upfronts, milestones, and royalty rates by modality, indication, and clinical stage.
Aggregated news from 20+ sources including Endpoints, STAT, FiercePharma, FDA, GlobeNewsWire, and Nature. Filtered to pharma and biotech deals.
Tinctura's floating-window workspace lets you open deal details, search results, company profiles, news, and comparables side by side. Resize, stack, and tile panels to match your workflow.
Every data point traces back to its source. AI outputs are labeled. Confidence scores are shown on every extracted field.
Every deal links directly to its SEC filing and exhibit. One click to the original document.
Every AI-extracted field shows a confidence score so you know what to trust and what to verify.
AI-generated summaries and extracted data are clearly labeled. You always know what is human-written versus machine-extracted.
Drug candidates are matched to ClinicalTrials.gov and FDA records for phase status and regulatory history.
Whether you are sourcing partnerships, modeling transactions, or drafting term sheets, Tinctura gives you the data foundation.
I need to know every oncology licensing deal done in the last two years, with upfronts and milestone caps, in under five minutes.
BD teams use Tinctura to source comparable transactions, track competitor partnerships, and build data-backed cases for partnership discussions.
When a deal is announced, I want to see the full financial structure before the market does -- straight from the SEC filing.
Analysts and investors use Tinctura to model deal economics, track pipeline-moving transactions, and identify undervalued assets before consensus forms.
I need to benchmark royalty rates and milestone structures against real precedents, not anecdotal data from conference hallways.
Legal and licensing teams use Tinctura to benchmark term sheets against real, SEC-sourced precedents and to track how deal structures evolve over time.
Join the teams using Tinctura to find, analyze, and benchmark pharma and biotech deals faster than ever before.