400,000+ trials on CT.gov.
Find what matters.

BD teams spend hours each week manually tracking competitors' pipelines. CROs lose bids because feasibility assessment takes too long. Researchers copy-paste data into Excel for meta analysis.

TrialScope is the first tool built specifically for clinical trial intelligence — advanced filtering, AI-powered analysis, and structured export, right inside ClinicalTrials.gov.

Add to Chrome — Free See how it works ↓
clinicaltrials.gov
Filters
Favorites
AI Analysis
Save
Condition / disease
Intervention
Location
Sponsor
Phase
Outcome measures
Lead sponsor
Status
Recruiting 45
Not yet 12
Active 8
Completed 156
Terminated 23
Suspended 5
Only studies with results
Sort:
Date range
Search
Clear
Sync
Export
Study List
NCT06372649
A Study of SGT-003 Gene Therapy in Duchenne Muscular Dystrophy (INSPIRE-DUCHENNE)
RECRUITING PHASE1-PHASE2 Enrollment: 60 Solid Biosciences Inc. | GENE-SGT-003
INSPIRE-DHE is a multi-center, open-label, non-randomized study to evaluate the safety, tolerability, and efficacy of a single intravenous (IV) infusion of SGT-003 in participants with Duchenne muscular dystrophy. There will be 6 cohorts in this study. Cohort 1 will include participants 4 to 8 years of age. Cohort 2 will include participants 9 to 12 years of age, and Cohort 3 will include participants 13 to 17 years of age, and Cohort 4 will include participants 18 to 24 years of age. Cohort 5 will include participants 25 to 30 years of age. Cohort 6 will include participants 31 to 40 years of age. All participants will receive SGT-003 and will be in the study for approximately 48 weeks.
NCT07284589
Study to Evaluate the Efficacy, Safety, and Tolerability of PIPE 791 in Subjects With Idiopathic Pulmonary Fibrosis
RECRUITING PHASE2 Enrollment: 324 Continuum Therapeutics | DRUG-PIPE 791
This is a Ph 2, randomized, double-blind, placebo-controlled global multicenter study to evaluate the efficacy, safety, tolerability, and pharmacokinetics (PK) of PIPE-791 in subjects with a diagnosis of Idiopathic Pulmonary Fibrosis (IPF) with or without background corticosteroid treatment.
NCT03722729
A Phase I/II Study to Evaluate the Safety of Cellular Immunotherapy Using Autologous T Cells Engineered to Express a CD20-Specific Chimeric Antigen Receptor for Patients With Relapsed or Refractory B Cell Non...
ACTIVE NOT RECRUITING PHASE1-PHASE2 Enrollment: 53 Fred Hutchinson Cancer Center | BIOLOGICAL, DRUG, OTHER, PROCEDURE - Chimeric Antigen Receptor T-Cell Therapy, Cyclophosphamide, Fludarabine
This study is for people with B-cell non-Hodgkin lymphoma (B-NHL) that has come back or did not respond to treatment. The purpose of this study is to find out if the study treatment is safe and effective in people with B-NHL.
1
2
...
page / 20
2532 studies
0 selected

Product mockup. Actual UI available after installation.

CT.gov has 400,000+ trials.
Finding the ones that matter takes forever.

Three workflows that bleed time and money every single week.

BD Pipeline Tracking

You search for competitors, export to CSV, open Excel, filter again, copy-paste into your pipeline model. 4+ hours per week just to stay current. And you still miss status changes.

→ TrialScope: filter → AI compare → export, in 15 minutes.
🎯

CRO Feasibility Assessment

Client asks "Can you run this trial in Europe?" You spend hours cross-referencing enrollment targets, site locations, and competing trials across 10+ browser tabs.

→ TrialScope: AI feasibility analysis with one click.
📋

Research Meta Analysis

Collecting trials for a systematic review means manually copying NCT numbers, hunting down endpoints, and formatting citations. Endpoint mismatch makes merging impossible.

→ TrialScope: export structured data, AI endpoint alignment, RIS citations.

What would you do with an extra 3 hours this week?

TrialScope automates the tedious parts of clinical trial research — so you can focus on analysis and decisions.

23-Dimension Filtering

Phase, intervention type, sponsor class, country, enrollment, age group, geo distance, keyword exclusion — all applied instantly on 1,000 results. No more scrolling through irrelevant trials.

🤖

AI Compare — 3 Templates

BD Pipeline: competitive landscape, market gaps, deal prioritization. CRO Feasibility: enrollment check, geographic footprint, design complexity. Research Meta: endpoint alignment, methodology matrix, evidence gaps. Choose your lens.

📥

Export Anywhere

CSV, JSON, Excel (.xlsx), RIS for Zotero/EndNote. Pick from BD, CRO, or Research templates — or build your own. 26 fields, no extra columns, no formatting work.

Favorites with Live Tracking

Star trials, add tags, set reminders. Pro users get browser notifications the moment a tracked trial changes status — from "Not yet recruiting" to "Recruiting," you'll know first.

🔄

Cloud Sync

Favorites, tags, and filter presets sync across devices. Start on your laptop, pick up on your desktop. No more emailing CSV files to yourself.

🔒

Privacy-First

Your data stays on your machine until you opt into cloud sync. No tracking, no selling. Clinical trial data is sensitive — we treat it that way.

Built for the people who actually use CT.gov

Real workflows, real time savings.

BD / Pipeline

"I need to know what every competitor is doing in oncology, this quarter"

Filter Phase II-III oncology trials in US + EU. AI Compare generates a competitive landscape table with sponsor, enrollment, endpoint, and completion date. Export to Excel and drop into your board deck. 4 hours → 15 minutes.

CRO / Business Development

"Can we feasibly run this trial at our sites in Poland and Romania?"

Run AI Feasibility analysis: enrollment targets vs. realistic, existing geographic footprint, design complexity score, patient pool competition, and recommended countries. Make data-driven go/no-go decisions on every bid.

Academic / Research

"I'm doing a meta-analysis on GLP-1 agonists — need all relevant RCTs"

Search → filter Phase 3 RCTs → AI endpoint alignment tells you which trials can be merged → export to RIS for Zotero → track new trials as they appear. One tool instead of five.

Pricing

Free

$0/forever
No credit card required
Install Free
  • 5 AI analyses / day
  • 2 AI comparisons / month
  • 5 exports / month
  • 23-dimension filters
  • Local favorites & presets

Lite

$19/month
Billed monthly. Cancel anytime.
  • 60 AI analyses / day
  • 10 AI comparisons / month
  • 40 exports / month
  • Cloud sync + email alerts
  • Browser notifications
Best Value

Premium

$49/month
Billed monthly. Cancel anytime.
  • 150 AI analyses / day
  • 120 AI comparisons / month
  • Unlimited exports
  • Cloud sync + email alerts
  • Browser notifications

🔒 Secure payment by Waffo. Cancel anytime.

Frequently Asked Questions

Everything you need to know about TrialScope.

What is TrialScope?

TrialScope is a Chrome extension that enhances ClinicalTrials.gov with advanced 23-dimension filtering, AI-powered analysis (BD Pipeline, CRO Feasibility, Research Meta-Analysis), structured export (CSV/JSON/Excel/RIS), and live status tracking. It's built for BD teams, CROs, and researchers who need clinical trial intelligence.

Is TrialScope free to use?

Yes. TrialScope is free to install and use with unlimited filtering and 5 AI analyses per day. Lite ($19/mo) unlocks 60 AI analyses/day, 10 comparisons/month, 40 exports/month, and cloud sync. Pro ($29/mo) adds 90 analyses/day, 30 comparisons/month, 100 exports/month, and browser notifications. Premium ($49/mo) adds unlimited exports and 150 analyses/day.

What is clinical trial intelligence?

Clinical trial intelligence is the practice of systematically tracking, analyzing, and deriving insights from clinical trial data to support business development, CRO feasibility assessment, and research meta-analysis. It goes beyond simple search — it's about understanding the competitive landscape, identifying market gaps, and making data-driven decisions faster.

How does the AI analysis work?

TrialScope uses advanced AI to analyze clinical trial data from CT.gov. BD teams get competitive landscape analysis, market gap identification, and investment scoring. CROs get feasibility assessments including enrollment risk, geographic footprint, and design complexity. Researchers get endpoint alignment, methodology matrix, and evidence quality grading. All analyses are structured and exportable.

Can I export data from TrialScope?

Yes. TrialScope supports structured export to CSV, JSON, Excel (.xlsx), and RIS (for Zotero/EndNote). Free users get 5 exports per month. Lite ($19/mo) gets 40/month, Pro ($29/mo) gets 100/month, and Premium ($49/mo) has unlimited exports with BD, CRO, and Research export templates.

How does the Chrome extension work with CT.gov?

TrialScope injects a sidebar directly into ClinicalTrials.gov search results. You get advanced filters, AI analysis buttons, and export options — all without leaving CT.gov. It works seamlessly with your existing CT.gov workflow, just with more power.

Is my data secure?

Yes. TrialScope stores your favorites, tags, and filter presets locally in your browser by default. Cloud sync (optional for Pro users) uses encrypted connections. We don't track your searches or sell your data. Clinical trial data is sensitive — we treat it that way.

Clinical Trial Intelligence Resources

Guides, workflows, and insights for BD, CRO, and research teams.

Guide

Clinical Trial Intelligence: What It Is and Why It Matters in 2026

A complete guide to clinical trial intelligence — what it is, why it matters, and how BD teams, CROs, and researchers use it to gain a competitive edge.

Read article →
CT.gov Tips

CT.gov Advanced Search: 23 Filters You Didn't Know Existed

Master CT.gov's API with these 23 filter dimensions — from geo-distance filtering to keyword exclusion. Find the trials that matter, fast.

Read article →
BD Pipeline

How BD Teams Track Competitor Pipelines in 2026

Pharma BD teams spend 4+ hours per week on competitor tracking. Here's how top teams cut that to 30 minutes with automation.

Read article →
CRO Feasibility

CRO Feasibility Assessment: A Complete Framework for 2026

A step-by-step framework for CROs to assess trial feasibility — enrollment risk, geographic footprint, design complexity, and go/no-go scoring.

Read article →
Market Analysis

GLP-1 Obesity Drug Competitive Landscape 2026: Who's Winning the $100B Market

Novo Nordisk vs. Eli Lilly vs. emerging players. A data-driven analysis of the GLP-1 obesity drug landscape using real clinical trial data.

Read article →
Oncology BD Deep Dive

TROPION-Breast01: ADC Breakthrough in Triple-Negative Breast Cancer

A BD Deep Dive analysis of Datopotamab deruxtecan — 37% response rate, FDA approval, $3.2B peak sales forecast, and the ADC competitive landscape.

Read article →

View all articles →

Ready to speed up your clinical research?

Install the Chrome extension and upgrade when you need more.

Add to Chrome