Posos provides a plug‑and‑play software platform that ingests raw clinical data, normalizes it to SNOMED‑CT, FHIR and ICD‑10/11 standards, and enriches it with a curated medical knowledge graph to generate personalized, traceable treatment recommendations and dose calculations. Its deterministic, auditable algorithms are delivered via CE‑IIb certified FHIR and CDS‑Hooks APIs, enabling seamless integration with EHRs and pharmacy systems while giving clinicians full control over each reasoning step.
Funding
$9.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Healthcare professionals often face fragmented patient data and lack reliable, auditable decision support, leading to medication errors and time‑consuming manual prescription processes.
Solution
Posos offers a plug‑and‑play software platform that ingests raw clinical data, normalizes it to standards such as SNOMED‑CT, FHIR and ICD‑10/11, and enriches it with a curated medical knowledge graph. Deterministic algorithms cross‑reference patient context with up‑to‑date professional guidelines and hospital protocols to generate personalized, traceable treatment recommendations and dose calculations. The solution is delivered via CE‑IIb certified APIs, including native FHIR and CDS‑Hooks endpoints, enabling seamless integration with existing electronic health record and pharmacy systems. Clinicians retain full control over each reasoning step, ensuring auditability and compliance with European regulatory requirements.
Target Audience
Primary users are hospitals, clinics, and pharmacy software vendors that need interoperable, AI‑assisted prescription support for physicians, pharmacists, and other prescribers.
Features
- Automatic ingestion and semantic standardization of patient data (severity, history, labs, treatments) into SNOMED‑CT, FHIR, ICD‑10/11 formats
- Knowledge‑graph engine that combines over 20 million documents from 220 medical sources to produce evidence‑based, patient‑specific therapeutic suggestions
- Deterministic, fully auditable recommendation algorithms with transparent dose calculations and risk‑iatrogenicity alerts
- CE‑IIb certified, plug‑and‑play APIs (FHIR, CDS‑Hooks) for instant integration into EHRs, pharmacy, and hospital software
- Real‑time retrieval and transcription of paper prescriptions via image capture, converting them into structured, interoperable data
- Continuous updates of medical references and compliance checks (LAP V2) to maintain up‑to‑date guidance