MirrorFly Video Call SDK is a white-label CPaaS solution that lets developers build and deploy custom video calling apps for enterprise-grade businesses. It provides thousands of features including HD video calls and conferencing, screensharing, video recording, AI video agents and video KYC along with 500+ AI-powered capabilities.
The solution combines WebRTC with Kubernetes-managed infrastructure to deliver consistent HD quality video calls at low-latency, even during high-traffic meetings or conferences.
The video call engine uses XMPP over Ejabberd servers to execute signaling for session negotiation, manage user presence and sync the app across multiple devices.
The backend framework, built on Spring Boot, governs authentication, workflow orchestration, and service logic through the RESTful APIs. Redis caching reduces database load and latency, while RabbitMQ supports event-driven communication and system resilience. STUN/TURN servers enable seamless connectivity across firewalled or NAT-restricted networks.
The solution supports Call Events Integration to automate workflows triggered by session states, supporting use cases such as Video KYC, telehealth, transportation, banking and fintech.
The built-in security layer of the solution consists of AES 256-bit encryption, DTLS media security, JWT token validation. It aligns with industry-grade regulations like HIPAA, GDPR, and OWASP. Above this, the solution also supports custom security, allowing businesses to add any layer of encryption or privacy as per business requirements.
On the business-front, MirrorFly video calling is popular among businesses for its completely customizable and white-label solution, providing full source code transparency and deployment flexibility across on-premise servers, private cloud, or enterprise data centers. This multi-platform SDK support offers complete data ownership and eliminates dependency on third-parties, eliminating risks like security attacks and data theft.
Sorry, no records were found. Please adjust your search criteria and try again.
Sorry, unable to load the Maps API.