About
Anam is the real-time face layer for AI products. Anam provides real-time AI avatar models, streaming infrastructure, APIs and SDKs that enable developers to add expressive, photorealistic faces to conversational AI products and AI agents.
Unlike traditional AI avatar video generators that create pre-recorded or scripted videos, Anam is built for live, two-way conversations. Anam’s avatars can listen, respond and react in real time, with low-latency streaming designed for natural conversational experiences.
Developers can use Anam to build customer-facing AI agents, coaches, trainers, interviewers, tutors, virtual assistants and interactive guides. Anam can be integrated into existing conversational AI stacks using its APIs and SDKs, with integrations across popular voice AI and real-time infrastructure platforms.
Teams can try Anam through free interactive AI tools and the Anam Lab, then use the API and SDKs to build and deploy production AI avatar experiences.
Fact Sheet
Discussion
Focusing on live, two-way conversation rather than pre-recorded avatar videos is a clear distinction. Low-latency streaming is what decides whether an avatar tutor or interviewer feels natural, and fitting into existing voice AI stacks through SDKs keeps the adoption cost down.