Connect. Collect. Normalize. Analyze. An interview with the people from Railz AI (Ep. 189) - a podcast by Francesco Gadaleta

In this episode I am with Pasha Zavari - Director of Data Science and Derek Manuge - Co-founder and CTO at Railz.
Railz is a very interesting company with an incredible mission: normalizing and extracting insights from the most tedious data out there, financial data.
Guess what technology stack are they on?
Enjoy the show!

 

This episode is brought to you by RailzAI

The Railz API connects to major accounting platforms to provide you with quick access to normalized and analyzed financial data.

 

Sponsored by NordVPN

NordVPN protects your privacy while you are online. Get secure and private access to the internet by surfing nordvpn.com/DATASCIENCE or use coupon code DATASCIENCE and get a massive discount.

 

and by Amethix Technologies

Amethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.

 

References

Railz Homepage: https://go.railz.ai/Railz-DSH

Railz API Document: https://go.railz.ai/RailzAPI-DSH

Railz API Signup: https://go.railz.ai/RailzSignup-DSH

Railz Startup Pricing: https://go.railz.ai/RailzStartupPricing-DSH

Railz Careers: https://secure.collage.co/jobs/railz 

Further episodes of Data Science at Home

Further podcasts by Francesco Gadaleta

Website of Francesco Gadaleta