With Unframe, the first solution goes live in days — on your real data, inside your existing systems, without a lengthy implementation programme.
Yes. Unframe connects directly to your existing EHR, RCM, regulatory, and clinical platforms without migration or disruption. Your infrastructure stays exactly as it is.
Your data never leaves your environment. Unframe deploys within your own infrastructure — on-prem or private cloud — with no training on your data and full audit trails at every step.
General AI tools are built for productivity — drafting and summarising. Unframe is built for regulated operational workflows — prior authorization, regulatory submissions, pharmacovigilance, and compliance documentation — on your actual data, with the governance that healthcare regulators require.
Most stall because they are built as standalone pilots, disconnected from the clinical and operational systems that would make them useful. Unframe deploys inside your existing workflows from day one — no separate pilot phase to graduate out of.
Yes. Unframe automates the documentation, evidence assembly, and submission workflows — with a human reviewer approving every consequential decision. The AI does the work; your team retains full accountability and oversight.
No. Unframe connects directly to your existing systems — RCM, EHR, regulatory submission platforms — without replacing anything. Your current infrastructure stays in place.
Unframe aggregates clinical trial data, adverse event records, and safety signals — automatically formatting them into FDA and EMA submission-ready packages with full source traceability and human review at every approval gate.
