Xailient provides privacy-compliant edge AI solutions for computer vision applications, enabling secure face recognition, access control, and payment verification. Their technology allows businesses to deploy scalable automation across various sectors, reducing time to market and operational risks while enhancing customer experiences.
Funding
$3.4M 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.
EVFFLCFounders
Product
Problem
Many computer vision applications require real-time processing and analysis of visual data, but traditional cloud-based solutions introduce latency and raise privacy concerns. Transferring large volumes of video data to the cloud for processing consumes bandwidth and increases the risk of data breaches.
Solution
Xailient offers edge AI solutions that enable secure and privacy-compliant computer vision directly on edge devices. Their technology allows businesses to deploy scalable automation for tasks like face recognition, access control, and payment verification without relying on cloud infrastructure. By processing data locally, Xailient reduces latency, minimizes bandwidth consumption, and enhances data privacy, enabling faster time to market and reduced operational risks. The Orchestrait™ Edge AI management platform facilitates the deployment and management of these solutions across fleets ranging from small to very large scale.
Target Audience
Xailient's primary customers are businesses seeking to deploy computer vision applications that require real-time processing, enhanced privacy, and scalable management, including those in the access control, payment verification, and security sectors.
Features
- Privacy-compliant face recognition for secure access control and payment verification
- Edge-based processing to minimize latency and bandwidth consumption
- Orchestrait™ Edge AI management platform for scalable deployment and management
- Optimized for performance on resource-constrained edge devices
- Solutions for various sectors, including residential, commercial, and government