We just made the first free clinical research site search engine. Here's why.

Every year, the clinical trial industry loses billions of dollars and countless months to one of the most solvable problems in drug development: sponsors and CROs do not have fast, affordable access to the data they need to identify the right research sites for their trials.

The data exists. The technology to surface it exists. What has not existed, until today, is a way to access it without a six-figure contract, a multi-month procurement process, and a vendor relationship that may or may not deliver what you actually need.

That changes today with the launch of RyghtSites.com.

What RyghtSites.com actually is

RyghtSites.com is a free, publicly accessible search engine for clinical research sites. No login. No contract. No catch.

You enter your indication, trial phase, and target geography. Within seconds, you get a ranked list of the most experienced research sites in the world that match your search criteria, pulled from our database of over 100,000 site locations across 192 countries.

The results you see are sites that have conducted studies in your selected indication within the past three years, ranked by quantity. You can immediately see which sites have the deepest, most current experience for your specific study. You can filter, sort, and download the full list as a CSV.

It is, to our knowledge, the most comprehensive free site identification tool ever built for the clinical research industry.

Why we built it and why we made it free

The clinical trial industry has a feasibility problem. An estimated 80% of trials fail to meet their enrollment timelines. Site selection is one of the most consistent contributors to that failure, not because the right sites do not exist, but because sponsors and CROs cannot identify them quickly enough with the tools that have historically been available.

Legacy data vendors have charged premium prices for access to site performance data for decades. The result is that this intelligence has been concentrated among the largest, best-resourced organizations in the industry. Smaller biotechs, emerging sponsors, and lean CRO teams have had to rely on manual research, personal networks, and educated guessing.

We believe that is wrong, and we built RyghtSites.com to change it.

Our goal is simple: give every drug developer, regardless of budget, a credible, data-driven starting point for trial planning. If we can compress even a fraction of the industry's feasibility timelines, we help get therapies to patients faster. That is the outcome we are optimizing for.

What you will find when you search

RyghtSites.com is powered by Ryght's proprietary network of AI Site Twins, digital profiles representing over 100,000 global research site locations built from real-world trial history, investigator data, and site performance signals.

When you run a search, the tool surfaces the sites with the deepest verified experience in your searched indication and phase, ranked by the number of matching trials they have conducted in the past three years. The results are immediate, exportable, and ready to use as a starting point for your feasibility process.

Here is what you get in a single free search:

• Ranked list of sites by indication-specific trial experience
  
• Filter by disease, biomarker, synonym, and country or region
• Support for Phase 1 through Phase 4 trials
• Full CSV export of results

For a process that has historically taken three to six months and significant budget, this is a meaningful head start.

Experience is a starting point, not a finishing line

The free tool ranks sites by trial experience in your indication. That is a strong and useful signal. But it is not the only signal that matters, and for complex protocols it is rarely the most important one.

A site that has run forty trials in your indication may be entirely wrong for your specific study because it is currently enrolling in three competing trials recruiting from the same patient pool. A site with half the trial history might be your single best option because its principal investigator has the highest prescribing volume in your drug class in the country.

This is the problem we built the Ryght Score to solve.

The Ryght Score is the protocol-adaptive ranking engine that sits beneath our full Network Navigator platform. Unlike the free tool's single-dimension ranking, the Ryght Score evaluates across a variety of dimensions s that are configured per protocol, not applied uniformly. Some examples of those are:

The result is a tiered site list built specifically for your protocol, not a generic ranked database. Tier 1 represents the top sites calibrated for priority outreach. Tier 2 serves as your secondary targeting and backup pool. Your team knows exactly where to focus from day one.

What this looks like in practice

A leading global CRO recently used Ryght's platform to run a site selection and feasibility campaign for a complex oncology trial. The same process had previously taken their team six months using traditional methods.

Using Ryght, the campaign was completed in 26 days. The team not only met their site activation goal, they exceeded it by 330%.

The sites that performed best in that campaign were not all the ones that would have appeared at the top of a conventional trial-count ranking. Several were mid-sized community oncology practices that scored high on prescribing volume and low on competitive density. These sites would not have made the shortlist built on experience alone.