Comend is a web platform that aggregates research projects, tools, patient groups, biosample repositories, clinical datasets, and service providers related to genetic conditions into a single searchable catalog. It enables researchers and patient advocacy groups to discover resources, post and match RFPs, and collaborate securely, accelerating translational research for rare diseases.
Funding
$765K 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.
CFounders
Product
Problem
Researchers studying genetic conditions often struggle to locate and coordinate disparate resources such as ongoing projects, specialized tools, patient biosamples, clinical datasets, and service providers. This fragmentation hampers efficient collaboration, slows data access, and limits the involvement of patient groups in translational research.
Solution
Comend provides a centralized web platform that aggregates research projects, tools, patient groups, biosample repositories, clinical datasets, requests for proposals, and service providers related to genetic conditions. Users can browse, search, and connect with these resources through a single interface, reducing the time needed to identify collaborators and data sources. The platform is built with input from over 20 patient groups, ensuring that patient‑driven perspectives are integrated into research workflows. By streamlining resource discovery and partnership formation, Comend facilitates coordinated, translational research that can move more quickly from early‑stage studies to real‑world impact.
Target Audience
Primary users are academic and industry researchers focused on rare genetic diseases, as well as patient advocacy groups seeking to contribute biosamples and data to collaborative studies.
Features
- Unified searchable catalog of research projects, tools, and service providers specific to genetic conditions
- Integrated listings of patient groups, biosample collections, and clinical datasets with metadata for easy filtering
- Request‑for‑proposal (RFP) posting and matching system to connect researchers with suitable collaborators and service providers
- Patient‑group partnership model that incorporates patient input into resource curation and platform governance
- Secure sign‑in and access controls to protect sensitive data while enabling collaboration across institutions