Anam

Anam supplies the 'face layer' for conversational AI. Instead of a text box or a disembodied voice, an agent built on Anam appears as a photorealistic human who listens, blinks, shows micro-expressions and speaks with matched lip sync in real time. The company's own benchmarking puts median reply latency around 1.2 seconds and median connection time near 1.4 seconds, and it positions these numbers against avatar competitors as its core technical differentiator. Supporting more than 70 languages, the avatars aim at markets where face-to-face conversation measurably improves engagement.

Technically, Anam is a developer product. There is a JavaScript SDK and a Python SDK, plus first-class integrations with LiveKit and Pipecat for teams already building voice pipelines. You can pick an avatar from a library — photorealistic, 3D, anime or comic-book styles — or upload your own image to become an avatar, and choose from 70+ voices or clone your own. Because the platform handles LLM routing, you can connect GPT-4o, Claude, Mistral or your own model, and add tool calling and knowledge-base retrieval so the avatar can actually take actions mid-conversation rather than only chat. There is also a no-code widget path for teams that would rather not write integration code.

For production, Anam emphasises scale and compliance: multi-region server deployment, high concurrency, uptime guarantees, model version pinning so an avatar does not shift under your users, and both HIPAA alignment and SOC 2 Type II certification for regulated industries such as healthcare and financial services. Pricing is freemium — a free starting point plus paid tiers — with an enterprise tier quoted on contact, so exact numbers are not published on the homepage.