Patient-level answers
Every finding is extracted with its subgroup context: sex, age, comorbidities, treatment history. Customers query what the evidence says for one patient profile.
Instead of: search tools that return papers
AI is precise about everything except the patient.
Health AI inherits the biases and blind spots of medical evidence. Differences in sex, gender and other precision factors are often overlooked, leading to answers that don't reflect the individual patient.
EQUAL CARE® Data Layer makes sex- and gender-balanced evidence visible, accessible & scalable
Age · Region · Ethnicity · Genetics · Lifestyle · Socioeconomic factors
Why EQUAL CARE.
Every answer auditable
Source, uncertainty and conflicting findings travel with each observation. Nothing is inferred beyond the published evidence.
Instead of: black-box AI answers
Infrastructure, not a tool
Delivered via API and MCP into the customer’s own product and kept current. They skip building their own curation pipeline and clinical review.
Instead of: building it in-house