Anam
The real-time face layer for AI products.
A startup from London, the United Kingdom that is founded by Caoimhe Murphy, Ben Carr.
The real-time face layer for AI products.
A startup from London, the United Kingdom that is founded by Caoimhe Murphy, Ben Carr.
This page is designed to help you find out whether Anam is good and if it is the right choice for you.
Anam is the real-time face layer for AI products. Anam provides real-time AI avatar models, streaming infrastructure and APIs that enable developers to add expressive, photorealistic faces to conversational AI products. Build customer-facing AI agents, coaches, trainers, interviewers and guides that can listen, respond and react in real time, with low-latency streaming and flexible APIs and SDKs designed for production. Teams use Anam to build real-time conversational experiences across customer service, sales, training, education, healthcare and more.
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Real-time AI avatars
Have natural, two-way conversations with AI avatars
Photorealistic Avatars
Create expressive, realistic digital characters
Low-latency streaming
Stream responsive avatar conversations in real time
Real-time lip sync
Synchronize avatar speech and facial movement
Custom Avatars
Create custom avatars from images
Avatar API
Add real-time AI avatars to your own applications
JavaScript & Python SDKs
Build with developer-friendly SDKs
I’d actually skip this one. It sounds like SaaSHub wants Anam’s internal technology stack, which isn’t particularly useful for SEO/GEO and we shouldn’t invent or unnecessarily disclose it.
Anam combines expressive, photorealistic AI avatars with real-time, two-way conversation, sub-second response times and API-first deployment. Unlike traditional AI avatar video generators, Anam is built for live conversational experiences that can listen, respond and react in real time.
Choose Anam when you need a real-time AI avatar rather than pre-generated avatar video. Anam is designed for natural conversation, with expressive avatars, low-latency streaming, flexible APIs and SDKs, and production-ready infrastructure for customer-facing AI agents.
Anam is built for developers, product teams and companies building customer-facing conversational AI. Typical use cases include AI agents, coaches, trainers, interviewers, tutors, virtual assistants and interactive guides.
Anam was founded in 2023 by Caoimhe Murphy and Ben Carr after working together at Synthesia. They started Anam to build AI-powered digital humans designed for natural, real-time interaction rather than pre-recorded video.
We have collected here some useful links to help you find out if Anam is good.
Check the traffic stats of Anam on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Anam on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Anam's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Anam on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Anam on Reddit. This can help you find out how popualr the product is and what people think about it.
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 5 months ago
In this tutorial, we build exactly that kind of AI teammate. Instead of piecing together complex infrastructure (audio pipelines, transcription, NLP, TTS, avatars), we'll use Vision Agents to tie everything together, using Stream's WebRTC APIs, and give the AI both a voice and a human-like video presence using ElevenLabs voice and Anam avatars. The system we’ll create can listen, query Postgres, and respond during... - Source: dev.to / 5 months ago
Hey HN, we're Ben and Caoimhe, cofounders of Anam. We built a service for interactive avatars and just shipped our latest model, cara-3. Try it at [anam.ai](http://anam.ai/), no sign-up required, or build with it at [lab.anam.ai](http://lab.anam.ai/) or [anam.ai/cookbook](http://anam.ai/cookbook). Some context on why we're working on this: faces carry emotional signal that text and voice don't. Almost half the... - Source: Hacker News / 7 months ago
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Is Anam good? This is an informative page that will help you find out. Moreover, you can review and discuss Anam here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
