We're excited to announce the phospho startup perk, designed to empower early-stage AI companies! Terms and conditions apply. Limited spots available.

We just hit 19k messages analyzed in ONE minute with phospho! 🤯 So, here at phospho, we're all about one thing: helping awesome people build awesome AI products and get them out there FAST. 🚀 And let me tell you, things have been getting wild lately! 🎢 More and more of our

We are thrilled to announce our integration with @langfuse . This partnership brings together phospho's powerful text analysis capabilities with Langfuse's comprehensive LLM application development toolkit. Learn more and try it today at phospho[dot]ai

Excited to announce self-hosted phospho on AWS, Azure & GCP! 🚀 ✅ Complete data ownership ✅ Enhanced security ✅ Customizable compliance Same great features & support, now on your infrastructure. We'll handle setup! Interested? Contact us: contact@phospho.ai or DMs

📊 phospho first technical paper is out! We are releasing Intent Embed, an intention embedding model for text messages! 🤖💬 Intent Embed is designed to capture and represent user intention within dense embedding vectors. Unlike traditional text embedding models that focus on

💭 Automatic clustering of user messages is now available in phospho! In just one click, cluster user messages based on their intention and topics. Try out for free the User Intention Clustering on your own data in the phospho platform. It is as simple as importing a CSV file!

The full article:

The phospho team and @_StanGirard have been quoted in a research paper on how to use LLMs to tune particle accelerators Very much 🇪🇺eu/acc

Learn more: https://t.co/oRjimXnaG4 See what's possible:

🖼 Add vision to your LLM app, with just an API call. You can now enable your LLM app to see images with the phospho multimodal LLM API. phospho multimodal LLM is generally available via API, as on premises deployment and directly in the platform. Examples and link below