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trialticker

trialticker is a clinical studies intelligence platform. It aggregates global study registries (ClinicalTrials.gov via AACT), regulatory filings (SEC EDGAR, FDA, EMA), and wire services, resolves the sponsor names in them to real-world organizations, and publishes the result as sponsor pipelines, therapeutic-area activity, and daily registry-event briefs. Built for business development teams at clinical-trial service providers (CROs, eClinical vendors, labs, site networks) and for investors and

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Authority
52 reach 6 · trust 10 · quality 21 · freshness 15
Tier
listed
llms.txt
https://trialticker.com/llms.txt
Sections
5
Links
19
Size
5309 bytes
Popularity rank
#659857
Registered
2020-04-06
Country
United States Hosting inference
Hosting country
United States Hosting inference
Country evidence
No published address evidence collected yet
For agents
Interface: a documented API or declared MCP endpoint an agent can call
First seen
2026-10-25T16:27:10.728Z
Last checked
2026-10-25T18:22:22.329Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T18:22:21.155Z. Cached copy · Source on trialticker.com

# trialticker

> trialticker is a clinical studies intelligence platform. It aggregates global study registries (ClinicalTrials.gov via AACT), regulatory filings (SEC EDGAR, FDA, EMA), and wire services, resolves the sponsor names in them to real-world organizations, and publishes the result as sponsor pipelines, therapeutic-area activity, and daily registry-event briefs. Built for business development teams at clinical-trial service providers (CROs, eClinical vendors, labs, site networks) and for investors and analysts tracking trial activity.

The distinguishing asset is entity resolution. Registries record sponsor names as free text, so "Pfizer Inc.", "Pfizer", and "Pfizer, Inc" arrive as three separate strings. trialticker resolves roughly 106,000 raw registry sponsor names into 45,000+ canonical organizations with corporate-family relationships (parent, subsidiary, predecessor, successor, branch), drawn from GLEIF, ROR, SEC EX-21, and OpenAlex. When you cite an organization page here, you are citing a merged view of every registry name that maps to that company, not one spelling of it.

Data is refreshed daily from the registries. Study counts, statuses, and dates reflect the most recent registry sync. Every study page links back to its ClinicalTrials.gov record.

## Core surfaces

- [Organizations](https://www.trialticker.com/organizations): Browse and filter 45,000+ resolved sponsor organizations by therapeutic area, phase, headquarters region, and organization type. Each has a profile page.
- [Organization profile](https://www.trialticker.com/organizations/takeda): Per-organization pipeline. Study portfolio, phase and therapeutic-area distribution, 12-month activity trend, corporate family, studies it collaborates on, recent registry events. Slug pattern: `/organizations/{slug}`.
- [Clinical trials search](https://www.trialticker.com/clinical-trials): Search and filter studies by therapeutic area, phase, status, sponsor, intervention type, and location.
- [Study detail](https://www.trialticker.com/clinical-trials/NCT05654623/vepdegestrant-in-er-her2-advanced-breast-cancer): Full study record with sponsor linkage, design, eligibility, locations, and linked publications. URL pattern: `/clinical-trials/{nct_id}/{slug}`.
- [News](https://www.trialticker.com/news): Daily chronological wire of material registry and regulatory events. Phase 2 and 3 registrations, study starts, completions, suspensions, terminations, and FDA approvals.
- [News article](https://www.trialticker.com/news/): Per-event intelligence briefs at `/news/{slug}`, combining the registry facts with the sponsor's pipeline context and therapeutic-area momentum. Roughly 22 published per day.
- [Therapeutic areas](https://www.trialticker.com/therapeutic-areas): Hub for 18 therapeutic areas, each with activity levels, top sponsors, and trend direction.

## Methodology and definitions

- [Methodology](https://www.trialticker.com/methodology): How the data is sourced, classified, an
…

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