Our A help businesses decode AI agent behavior by analyzing thousands of interactions, uncovering patterns, and identifying pain points—so you can build AI that truly engages.
Hey everyone! 👋
I wanted to share a little backstory about how Aiklyra came to life. It all started when I was working on a research paper exploring graph-based analysis for AI agent behaviors. The results were SOTA, and I couldn’t shake the thought: _“Damn, this is powerful—how do I turn this into a product?”_
That’s when I decided to build Aiklyra 🚀. I started with the API server, and soon after, two of my friends joined me. Together, we developed:
✅ A Python package to make using the API seamless
✅ Learn More about us -> https://aiklyra.com/
✅ No-code, try-for-FREE app -> https://app.aiklyra.com/
💡 Some fun facts about the demo app:
⚡️ It doesn’t even have a back end! Because of that, we had to limit the demo to analyzing 50 interactions—but the method actually scales to thousands (or more!) 💥
⏳ We built it in just 3 days 😅—so yeah, it's pretty barebones. The landing page and the demo app were thrown together super quickly, and the app itself is made with Streamlit.
I envision Aiklyra helping businesses and developers gain deep insights into AI agent (and even human agent!) behavior at scale. Whether you’re building chatbots, virtual assistants, or AI-driven workflows, this tool can help you analyze, optimize, and improve interactions.
Would love to hear your thoughts! 🧠💬 Jump into the discussion, ask us anything, or let’s brainstorm ideas together!
#AI #Chatbots #DataScience #MachineLearning #AIAnalytics
