We just kicked off a seed round, and while reaching out to investors and networking are now a priority, our biggest priority is getting feedback from potential users. That includes data scientists and analysts doing demand forecasting, market forecasting, economic forecasting, weather forecasting, anomaly detection, and denoising in time series data.

So, for those of you who do time series forecasting:

-What are the biggest challenges you face?

-Given the existence of a tool that has the mathematical machinery to handle complex time series data and make accurate predictions, how would you want to interact with that tool to fit into your workflow? (E.g., would you like it to work in a similar way to calling models in tensorflow?)

-Assuming you watched the video, what challenges do you think we will face? I'd love to hear your opinions and answer any questions.