Knoyo Health builds enterprise-grade AI infrastructure for clinical trials, capturing and synthesizing consult audio into structured clinical artifacts. The platform operates inside a hospital's own virtual private cloud, with no cross-site data pooling, and is currently running clinical trials in partnership with academic institutions. It is designed to measure trial endpoints directly through instrumented software.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trials often rely on manual documentation and data capture, which is time-consuming, error-prone, and disrupts the natural flow of patient consultations. Existing tools fail to integrate seamlessly into clinical workflows or provide the rigorous, auditable evidence needed for regulatory approval and meaningful trial outcomes.
Solution
Knoyo Health provides an AI-powered clinical intelligence loop that captures consult audio and synthesizes it into structured clinical artifacts, including FHIR resources, PDFs, and patient-facing summaries. The software is deployed inside a hospital's own VPC, ensuring data isolation and compliance with HIPAA and PDPA. It is purpose-built for clinical trials, with endpoints instrumented to measure exactly what the study requires, and is tuned to each trial's specific protocols without pooling data across sites. The platform supports in-person, telehealth, and phone consults with no workflow changes, and includes real-time streaming with logged consent.
Target Audience
Primary customers are academic hospitals, research institutions, and life science companies conducting clinical trials that require rigorous, auditable, and AI-driven data capture and analysis.
Features
- Ambient capture of consult audio with real-time streaming and logged clinician and patient consent
- Synthesis of clinical artifacts in FHIR, PDF, and patient-facing formats
- Deployment inside the customer's own VPC with region-bound, encrypted storage configurable per site
- Instrumented endpoints designed to measure specific trial outcomes
- Protocol-specific tuning with no cross-site data pooling
- Supports in-person, telehealth, and phone consults without workflow changes