Humiris - Mixture of AI - Custom reasoning model for accurate AI agents

@louis_nicolas @louise_peiffer Thank you so much for the kind words and support! 😊 We’re thrilled to hear that you see Humiris as a potential go-to tool for AI management that truly means a lot to us. This is just the beginning, and we’re excited about what’s ahead. Let us know if you have any feedback or ideas, we’d love to keep improving! 🚀

@nedomas Thank you so much! 🙌 It was awesome meeting you in SF, and we’re happy to see Humiris has been easy to integrate into your products. 🎉 Feedback like this keeps us going! Good luck with everything you’re building let’s stay in touch! 🚀

@cranqnow Thanks so much for the support! 😊 That’s exactly what we’re aiming for making it super easy and affordable for anyone using AI regularly. Glad it resonates with you! Fingers crossed for the launch, and we really appreciate you cheering us on. Let us know if you ever try it out we’d love to hear your thoughts! 🚀

@kellyann3644 Thank you for the comment! You're absolutely right Mixture of ai does share some similarities with model routing concepts like Not Diamond's feature. What sets Humiris apart is its ability to dynamically combine the strengths of both predictive models (for fast and accurate responses) and generative models (for more creative or conversational tasks). Instead of simply selecting the cheapest or fastest provider, Humiris optimizes for a balance of precision, latency, cost, energy efficiency, and even privacy, depending on the use case. In short, we’re not just a router; we’re an adaptive infrastructure that evolves based on developers’ specific needs. This flexibility makes it easier to build highly efficient and customizable AI agents. Thanks again for engaging, and I’d love to hear your feedback

@louis_nicolas @anup_nagdeve1 Thank you so much for the support and kind words! 🙌 It means a lot to us, and we’re so excited to finally share Humiris with everyone. 🎉 Let us know what you think if you check it out.

@louis_nicolas @codercorgi Thanks so much! 😊 That’s exactly what we’re aiming for combining the best of different models and multi-step reasoning to deliver smarter, more efficient outputs. Thrilled to hear you find it cool! Let us know if you have any thoughts or ideas we’d love to hear them. 🚀

@austin_piel Thank you so much! 🙌 We’re thrilled you love Humiris, and it’s awesome to hear that you see the potential for massive cost savings it’s something we’ve been focused on from the start. 💸💯 Thanks again for the support

@irfahm_ Thank you so much! 🙌 We’re thrilled to hear that the optimization layer resonates with what the AI product development space needs. It’s been a journey, and your support means a lot to us. Let’s keep pushing the boundaries together! 🚀

@matthew_podolak Thanks so much! 😊 We’re excited that you’re looking forward to trying it out for your personal projects! Can’t wait to hear how it works for you. Feel free to reach out if you need any help along the way. 🚀