How it works
Currently, the process looks like this behind the scenes:
- An input image is submitted and passed through our AI algorithm for reconstruction. The output is generally very accurate, but sometimes it’s not.
- A quality control engineer will look at the output and improve where necessary for the output to match our quality standards. Yes, our algorithm is not always perfect, and we want to ensure the output quality is always up to a standard.
- The output is returned to the user for further editing and the addition of textures.
Today, the process takes an average of 15 minutes to complete from start to finish. For the teams using Kaedim in production today, this represents a 10–20x speedup compared to manual work.
The quality control work happening today is vital for the parallel algorithm advancement work that we do. We are creating a feedback loop for our algorithm that is gathering data in real-time of generations and their improved versions.
Our goal is to achieve 1 minute return times in the next 12–18 months based on our product roadmap, at which point we hope to be ready for a consumer-friendly release.