Eligara’s intelligent AI reads a case profile against each trial’s eligibility criteria, then gives clear, concise reasons why it may be the right fit — plus actionable next steps to gather any missing information. Research sites can pre-screen cases against the protocols they’re recruiting for, through a gated process that only reaches out to those who consent to be contacted.
Eligara’s intelligent AI explains why a case may fit a trial and what missing information to gather next. Research sites pre-screen against their recruiting protocols — and contact only with consent.
Case profiles are de-identified. Do not enter names or other personal information.
Three steps from a de-identified case profile to a shortlist you can act on.
Follow a guided checklist for condition, stage, mutations, and other key clinical data. Use only anonymized information—never names or PII.
Eligara’s AI reads the profile against each trial’s eligibility criteria and returns a shortlist with clear, concise reasons why a trial may be the right fit.
Each match includes actionable next steps for what to collect next. Save the analysis or share it with your team to coordinate as needed.
One matching engine. Two workflows—curated reasons for care teams, protocol-scoped pre-screening for sites.
Start with a case profile. Receive a curated shortlist, clear reasons it may fit, and what missing information to gather next.
Org admins define the exact list of clinical trial protocols the team is recruiting for. Site users then cross-match case profiles to those trials.
Gated outreach. Interest is expressed first. Contact happens only with consent.
Every match includes concise, criterion-level reasoning—so teams can see why a trial may be the right fit, not just that it ranked.
When information is missing, Eligara specifies what to gather next so the case can be evaluated completely.
Sites work against the exact protocol list they are recruiting for. Outreach is consent-gated: interest first, contact only if the profile creator agrees.