We chose Twilio to build our audio bridge. Their voice API is incredibly stable for live connections. It allows our AI agent to join meetings seamlessly without any audio delay. It was the best choice for our infrastructure.
We chose the Zoom ecosystem over other video platforms because their developer SDK is incredibly robust. Since Askiva joins live calls to conduct autonomous user interviews, we needed a highly reliable audio bridge. Zoom provided the perfect infrastructure for our AI agent.
We chose Next js and AlignUI to build our web application. The performance of Next js combined with the beautiful ready to use components from AlignUI allowed us to create a very fast and clean dashboard for our researchers. Using them together saved us a massive amount of frontend development time.
Cursor was our main AI assisted IDE for coding. Writing complex backend logic became so much faster. It literally feels like having a senior developer building the product with you.
Google Gemini powers the core reasoning engine of Askiva. We use it to generate dynamic interview questions and calculate sentiment scores. Its logic capabilities are absolutely incredible.
We chose Framer over Webflow mainly because it is incredibly easy to learn. As a fast moving startup, we wanted to design and publish our landing page quickly without dealing with complex web development logic. Additionally, the Framer community is absolutely amazing. The tutorials, support, and the ready to use templates they share helped us speed up our entire launch process immensely.