Gabber - 2026 Pricing, Features, Reviews & Alternatives

Gabber is a hosted inference and orchestration platform for building real-time, multimodal AI applications. It routes live streams of audio, video, and text continuously through AI models and tools, supporting cross-device, multi-participant, and multi-input architectures with sub-second end-to-end latency. A drag-and-drop visual pipeline builder allows developers to construct and configure AI app workflows without complex setup, reducing integration time from weeks to minutes. Both a managed cloud deployment and an open-source self-hosted engine are available.

The platform simultaneously orchestrates STT, LLM, VLM, and TTS inference nodes, enabling continuous real-time operation across voice, video, and text modalities rather than discrete API call patterns. Key capabilities include premium voice cloning via custom LoRA adapter fine-tuning on 20 to 30 minutes of audio, a tool calling layer supporting parallel execution of external functions and third-party API integrations compatible with any LLM, and long-term cross-session memory retention across all supported modalities. Configurable AI personas and scenario-based system prompt rendering allow fine-grained control over application behavior. A usage token system handles secure frontend API key management without exposing credentials.

Gabber targets developers, startups, and enterprise teams across healthcare, education, retail, customer support, entertainment, athletics, and professional services verticals. Supported use cases include virtual health assistants, AI tutors, retail voice assistants, customer support agents, AI companions, and AI personal trainers. SDKs are available for iOS, web, and telephony applications. Pricing for voice inference is set at $1 per hour, scaling linearly with usage and avoiding per-token or per-character cost models.