Ben Carr

423 posts

Ben Carr

Ben Carr

@benatanam

building realtime avatars @Anam

London, England Katılım Kasım 2024
63 Takip Edilen757 Takipçiler
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Ben Carr
Ben Carr@benatanam·
Introducing cara-3, the fastest real-time avatar model on the market. Cara model delivers unmatched realism with sub-180ms response times, setting a new industry standard. 70% of users prefer video over voice. Every pixel is generated in real time, unlocking natural eye movement, micro-expressions, and emotional subtlety so each conversation feels real. Comment "CARA" for 500 free credits.
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Ben Carr retweetledi
Anam.ai
Anam.ai@Anam__ai·
Huge fans @lennysan and @bcherny at Anam. Enjoyed Boris's recent episode on Lenny's Podcast on the future of coding with AI so much we put together a demo of adding an Anam face to Claude Code.
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Ben Carr
Ben Carr@benatanam·
Small change in the stack, big change in the 15% of sessions that needed it most.
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Ben Carr
Ben Carr@benatanam·
This is table-stakes infrastructure for real-time platforms like Agora and LiveKit. Now it runs on every session. The difference: conversations that used to stutter or freeze now stay smooth. Sessions run longer. Users don't bounce.
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Ben Carr
Ben Carr@benatanam·
~15% of users hit unstable connections during interactive avatar sessions. Most never told us. The session just quietly got worse. We shipped adaptive bitrate. Every Anam session now adjusts to network conditions in real time.
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Ben Carr
Ben Carr@benatanam·
Anam is part of the relaunched AI Startup Pack by Fin. We're in good company, alongside @ElevenLabs, @Cloudflare, @incident_io, @Attio, and more. Build with interactive avatars that respond in real time, look realistic, and deploy via API. No upfront cost for 7 months.
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Ben Carr
Ben Carr@benatanam·
Our pipecat contribution just got merged. Anam is now listed as an official community video integration in the pipecat ecosystem. In case you don't know, pipecat is Daily's open-source framework for building real-time voice agents. 10.5k GitHub stars, used by NVIDIA, Mercor, Descript. We built a video service that takes TTS audio from the pipeline, streams it to Anam over WebRTC, and returns a synchronized interactive avatar face in real time. The avatar speaks, reacts, handles interrupts natively.
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Ben Carr
Ben Carr@benatanam·
@danielbigham which LLM were you using? we offer a few, perhaps we should switch our default...
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Ben Carr
Ben Carr@benatanam·
@stukennedydev thanks for the kind words Stu. it's been fun working with you!
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Ben Carr
Ben Carr@benatanam·
@Talsiach here's your code! use CARA-3 at checkout for a free month, no commitment needed →
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Ben Carr
Ben Carr@benatanam·
Introducing cara-3, the fastest real-time avatar model on the market. Cara model delivers unmatched realism with sub-180ms response times, setting a new industry standard. 70% of users prefer video over voice. Every pixel is generated in real time, unlocking natural eye movement, micro-expressions, and emotional subtlety so each conversation feels real. Comment "CARA" for 500 free credits.
English
506
139
1.2K
403.3K
Ben Carr
Ben Carr@benatanam·
@modal Thank you for helping us get here!
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Ben Carr
Ben Carr@benatanam·
@nickjohn Let us know if you have any questions!
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Stern - uɹǝʇS
Stern - uɹǝʇS@nickjohn·
@BenCarr630567 You have my attention. Would be great to speak as this could be perfect for a project I’m working on in the Middle East. Checked the platform out and I’m very impressed by the approach, latency and speed to deploy.
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Ben Carr
Ben Carr@benatanam·
We're open sourcing the backbone to our data pipeline. It's called Metaxy and it solves some of the hardest parts of a modern, scalable pipeline. At Anam, we’re building a platform for real-time avatars. One of the core components powering our product is our own video generation model. We train it on custom datasets that require extensive preprocessing of video and audio data. We extract embeddings using ML models, rely on external APIs for annotation and data synthesis, and orchestrate complex multimodal pipelines. Along the way, we ran into significant challenges implementing efficient and flexible sample-level versioning (caching) across these workflows. That experience led us to build and open-source Metaxy — a framework for metadata management and sample-level versioning in multimodal data pipelines. One of our engineers, Daniel, has been working tirelessly on Metaxy for the past few months, investing a staggering amount of time into it both during and outside of work. It now powers our data preparation pipelines and has made life significantly easier for our research team. docs: docs.metaxy.io blog post: anam.ai/blog/metaxy
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Hassaan Zaidi
Hassaan Zaidi@ichBinHassaan·
@BenCarr630567 Looks great! Why does the blog post on the website say it was published on August 11, 2025?
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Ben Carr
Ben Carr@benatanam·
@Redpoint Wouldn't be here without your support!
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