in life sciences, across trial operations, study design and national-scale data systems.
We're a team of clinical-research operators, data scientists, and signal-intelligence specialists. More than twenty years in life sciences — running multi-site trial networks, designing and filling studies, and building national-scale data and intelligence systems. It's a rare combination, and it makes us uniquely suited to one purpose.
That purpose is the question every trial turns on — where should your study go, who actually has the patients, who has the track record, who will perform? To answer it — the heart of clinical-trial feasibility and site selection — we built the most complete real-world patient data in the country, the whole journey across every institution, and the engine that reads it. Not a snapshot. The complete picture.
Where should your study go?
Who actually has the patients?
Who has the track record?
Who will perform?
People who have run multi-site trial networks and lived the enrollment problem from the inside: the site that looked good on paper, the ramp that never came, the rescue site added too late.
People who have designed and filled studies, and know what each eligibility criterion costs in patients before the protocol is locked.
People who have built national-scale data and intelligence systems, and brought that discipline to the most complete real-world patient data in the country.
in life sciences, across trial operations, study design and national-scale data systems.
the most complete real-world patient data in the country, linked and longitudinal.
the whole patient journey across every institution and provider, not one network’s snapshot.
And the engine that reads it, so the answer comes back as a ranked, defensible site list, not a dataset.
They guess. We count.
The case study →Real, not inferred.
Real patient data →Data, not vibes.
Bid defense →Explainable, or it’s useless.
AI site selection →You get the outcome. Not the raw data.
The honest boundary →