Understand how drugs work, where they intervene, and what evidence supports them
DDforDD unifies mechanistic biology, clinical trials, FDA labels, company financials, and competitive intelligence in one evidence-grounded platform.
Core Capabilities
Five pillars of pharmaceutical intelligence
Mechanism Mapping
253 nodes · 32 pathways · 6 territories
Interactive pathway graphs built on React Flow. Drill from territory to pathway to node to drug. Every edge shows directionality, evidence grade, and source.
Drug Intelligence
141 drugs · 106 approved · 9 FDA label sections
Full drug profiles: mechanism, targets, patents, PK, adverse effects, indication status, headlines, financials. FDA labels downloaded and structured from openFDA.
Evidence Engine
2,071+ claims · 10 evidence grades · contradiction detection
Every claim is traceable to its source: FDA label, Phase 3 RCT, SEC filing, peer review, or preprint. Inspect confidence scores. See where evidence conflicts.
Trial & Commercial Signals
717+ trials · 30+ companies · 3 CI scores
Daily trial sync from ClinicalTrials.gov. Quarterly financials from SEC EDGAR. Target crowding, trial momentum, and evidence strength scores — all decomposable.
AI Analysis & Workspaces
13 AI tools · team workspaces · REST API
Claude-powered insights with structured efficacy extraction from FDA labels. Private team overlays, saved briefings, and a ChatGPT-compatible API.
Platform Tour
From territory to insight in six clicks
Choose a Territory
Start with one of 6 therapeutic territories: Immunology, Oncology, Neurology, Gastroenterology, Cardiology, or Endocrinology. Each territory has its own pathway network.
6 territories · 32 pathways · 29–34 drugs each
View territories →Explore a Pathway Map
Open an interactive mechanism graph. See evidence-graded edges, color-coded node types (receptors, enzymes, cytokines, transcription factors), and drug intervention overlays.
253 nodes · 330 edges · 21 drugs per pathway
Open immunology pathways →Drill Into a Drug
Click any drug to see its full profile: mechanism summary, molecular targets, FDA label sections, clinical trial results, patent portfolio, PK parameters, and adverse effects.
141 drugs · 9 FDA label sections · Generate AI Brief button
Browse immunology drugs →Inspect the Evidence
Every claim shows its evidence grade (LABEL_REGULATORY to NEWS_SECONDARY), confidence score, source URL, and extraction method. No black boxes. See where claims conflict.
2,071+ claims · 10 evidence grades · contradiction detection
Compare Efficacy & Momentum
Ask the AI assistant to compare drugs within an indication. Get structured tables from FDA label data: primary endpoints, response rates, p-values, enrollment — all pre-extracted.
13 AI tools · PASI 75/90/100 comparisons · NCT-cited sources
Save, Brief & Collaborate
Generate analyst-grade briefings with one click. Save to your workspace. Add private notes and watchlists. Export as Markdown or JSON. Query the API programmatically.
Team workspaces · Markdown/JSON export · 8 API endpoints
See PRO features →Why DDforDD
What makes this different from Citeline, Cortellis, or Evaluate
Mechanism-first, not molecule-list-first
Start from biology, not a drug catalog. Understand how pathways connect before evaluating which drugs intervene where.
Evidence-inspectable, not black-box summarized
Every claim has a grade, a source, and a confidence score. When evidence conflicts, we show the disagreement — not a flattened average.
Structured efficacy from FDA labels, not just linked PDFs
We download, parse, and structure the Clinical Studies section of every FDA label. Primary endpoints, response rates, and p-values are queryable, not buried in 50-page documents.
Commercial + biological + regulatory + temporal in one graph
Company financials, mechanism biology, regulatory status, and trial momentum in one platform. No tab-switching between 4 different tools.
Architecture
What lives under the hood
13 automated pipelines
FDA labels, ClinicalTrials.gov, SEC filings, headlines from 6 sources, patent data, stock prices — all on daily/weekly/quarterly crons
10 evidence grades
LABEL_REGULATORY, PHASE_3_RCT, PHASE_2_RCT, OBSERVATIONAL_HUMAN, PRECLINICAL, COMPANY_DISCLOSURE, PEER_REVIEW, PREPRINT, NEWS_SECONDARY, EXPERT_CURATION
13 AI tools
query_drugs, query_trials, query_financials, query_label, query_efficacy, query_evidence, query_scores, query_graph, query_changes, fetch_clinicaltrials_gov, generate_table, generate_chart, generate_brief
8 public API endpoints
Drugs, trials, indications, companies, scores, evidence — with OpenAPI 3.1.0 spec, compatible with ChatGPT Custom GPTs
Private workspaces
Team annotations, watchlists, saved briefings — private overlays that never leak into public content or AI outputs
Use Cases
Built for people who need answers, not dashboards
Pharma Strategy Lead
“Where is the next open space for our portfolio?”
Map mechanisms, see unaddressed pathways, and compare competitive intensity by target and indication.
Clinical Development Analyst
“Which mechanisms have the strongest clinical evidence for our target indication?”
Surface all drugs, trials, and FDA label efficacy data linked to mechanistic nodes — with evidence grading.
Business Intelligence Lead
“What are competitors pursuing that we aren't?”
Track company portfolios, trial activity, and commercial signals by mechanism or indication. Decomposable CI scores.
Medical Science Liaison
“Can I trust this claim about a drug's effect?”
Drill down to the original evidence. Every claim is source-linked, graded for reliability, and shows contradiction status.
See It In Action
Three minutes from question to insight
Prefer a live walkthrough? Request one →
Ready to see what you're missing?
Explore the atlas now or request a live walkthrough. We onboard teams weekly.
Ad-free. Independent. Evidence-grounded.