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API for real-time video avatars that hold a conversation, with a claimed 180 ms average response
Anam sells conversational video avatars as an API. You point it at a persona and a knowledge source and it renders a photorealistic face that listens and answers in real time, with expression control, tool calling, retrieval from a knowledge base and support for around 70 languages. The company publishes JavaScript and Python SDKs and integrates with LiveKit and Pipecat, alongside a no-code console for building an avatar without writing code. Anam Labs was founded by Caoimhe Murphy and Ben Carr. Billing is per conversation minute after a free allowance, with rates falling from $0.16 to $0.11 a minute as the tier rises.
Metered per conversation minute, not a monthly plan. Free tier: 1 custom avatar, 30 free minutes a month, API access, 3-minute conversation cap, one concurrent session. Overage rates by tier: Starter $0.16/min, Explorer $0.14/min, Growth $0.12/min, Professional $0.11/min; Enterprise on request. The monthly base fees for the paid tiers did not render as numbers on the pricing page.
Use tool ↗This is an infrastructure product, not an avatar video maker: the whole pitch is latency low enough that the face answers while you are still expecting it to. Tool calling and knowledge-base retrieval mean it can actually do things rather than just talk. The cost model is per minute, which is fine for demos and brutal for anything always-on.
Watch out: The benchmark showing its model first is Anam's own, published by Anam — treat the ranking as a vendor claim and test latency yourself on the free minutes.
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