What is Gabber?
Gabber is a revolutionary platform for building realtime AI applications that can see, hear, and speak. It provides low-latency inference for Vision-Language Models (VLM), Text-to-Speech (TTS), and Speech-to-Text (STT), orchestrated through a powerful graph-based system. With Gabber, developers can create cross-device, multi-participant, multi-input realtime AI apps that handle video, screen, audio, and text inputs simultaneously.
Key features include a drag-and-drop visual builder called App Flow Builder, which enables rapid prototyping and deployment. Users can design complex realtime apps by connecting inference nodes with logic and state, turning ideas into production-ready applications in minutes. The platform's sub-second orchestration engine ensures low-latency performance, critical for interactive use cases like AI personal trainers that watch form, count reps, and push users to their limits.
Gabber's nodes are composable, extensible, and interoperable, allowing developers to mix and match components to design any realtime AI app imaginable. Custom building blocks can interface with existing APIs or SDKs, giving AI powerful tools to interact with the world. The platform supports multiple streams and participants, making it ideal for collaborative or multi-user scenarios.
Use cases span across industries: from fitness coaching and virtual assistants to customer support and education. For example, an AI tutor can see a student's work, hear their questions, and respond with spoken explanations. In healthcare, a virtual therapist can observe patient expressions and tone, providing empathetic responses.
Technical details: Gabber offers simple per-hour pricing at $0.50 per AI session, with custom integrations, dedicated infrastructure, volume discounts, and priority support for enterprise needs. Deployments can be on Gabber's cloud or hosted locally. The platform is designed for developers who need to build complex realtime AI apps fast, without sacrificing performance or flexibility. With Gabber, realtime AI is simplified, allowing creators to focus on innovation rather than infrastructure.
Use Cases
Key Features
realtime AI apps vision language models text to speech speech text drag and drop builder sub second orchestration composable nodes cross device support multi participant input rapid prototypingWho is it for?
AI developers, app builders, realtime app engineers, product teams, startup founders, enterprise innovators
