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Clinical Intelligence

Visualizations

Ten interactive dashboards spanning the full clinical intelligence stack, from post-market drug safety through targeted protein degradation competitive analysis, emerging drug signals, and pharma data management. Each dashboard connects live public data sources to purpose-built visualizations.

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FDA FAERS20M+ reports
AACT / CT.gov470K+ trials
PubMed36M+ articles
ChEMBL2.4M+ compounds
OpenFDAAPI
10
Dashboards
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6
Data Sources
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500M+
Data Points
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Drug Safety

20M+ reports

FDA FAERS Adverse Event Surveillance

Explore post-market drug safety signals from the FDA Adverse Event Reporting System. Understand which drugs generate the most reports, the breakdown of serious vs. non-serious events, and look up any drug's specific adverse event profile.

  • Top 10 global adverse reactions
  • Seriousness breakdown (serious vs. non-serious)
  • Most-reported drugs by FAERS volume
  • Reporter profile: physician vs. consumer vs. pharmacist
  • Per-drug lookup with live FAERS query
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Drug Development Pipeline

470K+ trials

Phase Attrition & Therapeutic Area Trends

Visualize the full drug development landscape, from early Phase 1 dose-finding through pivotal Phase 3 trials. Track how many trials exist at each stage, how enrollment scales with phase, and how therapeutic area activity has shifted over the past 15 years.

  • Phase landscape with next-phase progression ratios
  • Average and total enrollment per phase
  • Therapeutic area trends (COVID-19, Obesity, Alzheimer, etc.)
  • Annual new trial starts and enrollment growth
  • Phase-by-phase enrollment comparison table
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Global Trial Map

180+ countries

Interactive Choropleth Across 180+ Countries

An interactive D3 choropleth map showing clinical trial density across every country in the world. Hover to inspect individual countries, see regional breakdowns, and understand the heavy concentration of trials in North America and Europe.

  • D3 geoNaturalEarth1 choropleth with log color scale
  • Hover tooltip with country name and trial count
  • Top 20 countries ranked with inline progress bars
  • Regional breakdown (North America, Europe, Asia, etc.)
  • US concentration metric and total site count
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Evidence & Publications

36M+ articles

Trial Results, Publication Lag & Evidence Gaps

Connect trial registrations to their published outcomes. Measure how quickly results are published after trial completion, identify evidence gaps where trials completed without published results, and explore which sponsors have the strongest publication track records.

  • Trials with results vs. without, by phase and sponsor
  • Publication lag distribution (time from completion to first pub)
  • Evidence gap analysis: completed trials missing results
  • Top journals publishing trial outcomes
  • Sponsor-level publication rate comparison
PubMed + ClinicalTrials.gov
Open dashboard
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Target Biology

2.4M+ compounds

Potency Profiles, Selectivity & Compound Data

Dive into the molecular biology behind drug targets. Query ChEMBL for compound activity data, visualize potency distributions for any target, and surface UniProt protein annotations for the biological context behind clinical programs.

  • pChEMBL potency histogram for any target
  • Selectivity scatter plot (target A vs. target B IC50)
  • Target class breakdown (kinase, GPCR, PROTAC, etc.)
  • UniProt protein annotation cards
  • Compound-target interaction explorer
ChEMBL + UniProt
Open dashboard
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TPD Competitive Landscape

7 companies

Targeted Protein Degradation: Companies vs. Targets

Interactive matrix mapping every TPD company against every clinical target: STAT6, IRAK4, IRF5, ER, AR, BTK, GSPT1, and more. Includes phase-by-phase status, deal flow, and Kymera's differentiation in immunology.

  • Company × target matrix with phase-coded cells
  • Filter by disease area: immunology, oncology, neurology
  • Hover tooltips with compound, indication, and partnership
  • Kymera differentiation callout: first-mover in STAT6, IRF5
  • TPD deal flow: $9B+ in disclosed partnerships and acquisitions
Company filings + ClinicalTrials.gov
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Emerging Drug Intelligence

4 pillars

Competition, Success Prediction & Stealth Signals

Four intelligence pillars for drug development: competitive landscape mapping, success prediction, drug improvement opportunities, and stealth company detection from public registry, patent, and publication signals.

  • Competitive landscape: who is working on similar drugs
  • Success prediction: which candidates will advance
  • Improvement opportunities: where new drugs can do better
  • Stealth intelligence: detect companies before they announce
  • Signal triangulation from registries, literature, and filings
Multi-source triangulation
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Public Company Catalysts

13 companies

Upcoming Events for Public Biopharma

Track upcoming catalysts for public biopharma companies: Phase 3 data readouts, FDA decisions, trial initiations, and partnership activity. Identify companies with near-term news that could drive stock movement and new revenue.

  • Phase 3 program tracking with expected readout dates
  • FDA decision calendar (PDUFA dates, approvals)
  • High-significance catalyst alerts
  • Partnership and deal activity tracking
  • Company cards with pipeline and catalyst summary
Company IR + ClinicalTrials.gov
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Informatics Tools

65+ tools

AWS, Cheminformatics & Scientific Computing

Tool landscape for scientific informatics teams: AWS cloud services, cheminformatics (RDKit, Schrodinger), proteomics (AlphaFold, MaxQuant), genomics pipelines (GATK, nf-core), data engineering (Nextflow, Airflow), and lab informatics (Benchling, Dotmatics).

  • AWS services for life sciences: compute, storage, ML, data
  • Cheminformatics: RDKit, KNIME, Schrodinger, OpenEye
  • Proteomics and structural biology: AlphaFold, MaxQuant
  • Genomics pipelines: GATK, nf-core, Nextflow
  • Interactive category filtering and search
Curated catalog
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Data Management

5 tiers, 14 formulas

Pharma Data Tiers, Voice & Excel Integration

How specialized pharma systems combine public registries, private vaults, real-time voice intelligence, AI orchestration, and trusted Excel workflows. Covers the pharma data ecosystem from CDD Vault and Benchling to Veeva and Snowflake.

  • Five data tiers from public registries to governance
  • Live voice pipeline: keyword boosting, term normalization
  • 14 CLARI.* Excel formulas backed by the same data layer
  • Pharma ecosystem tool map with integration strategies
  • Data lake progression: curated files to full lakehouse
Architecture overview
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All dashboards use live public APIs with 1-hour server-side caching · Data for research and demonstration purposes