Aival provides vendor-neutral software for hospitals to objectively evaluate and compare third-party AI solutions using local data. Their platform enables continuous performance monitoring of deployed AI applications to ensure ongoing reliability and maintain clinical benefits. This independent Quality Assurance system builds trust for the adoption of AI tools that aim to improve patient outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals face challenges in verifying the safety, efficacy, and ongoing reliability of AI products used in patient care. This lack of objective assessment hinders the adoption of AI tools that could improve patient outcomes and requires significant manual effort to ensure compliance.
Solution
Aival provides an independent, on-site Quality Assurance (QA) software platform designed to evaluate and continuously monitor AI solutions within hospital environments. The Aival Analysis Lab enables healthcare organizations to objectively assess AI performance using their own local data, ensuring that deployed AI tools meet specific clinical needs and maintain reliability over time. This approach facilitates informed procurement decisions and streamlines post-deployment surveillance, building trust and enabling the responsible integration of AI into clinical workflows.
Target Audience
The primary customers are hospitals and healthcare systems seeking to implement and manage AI-driven medical technologies.
Features
- Vendor-neutral software platform for objective AI product evaluation.
- On-site deployment of the Aival Analysis Lab for local data processing.
- Continuous performance monitoring of AI models post-deployment.
- Capabilities for comparing AI solutions using site-specific datasets.
- Streamlined processes for AI assurance and compliance management.
- Tools to minimize clinical workload associated with AI validation.