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MovingLake

MovingLake

Realtime Data Connectors

MovingLake is Fivetran for event-driven architectures. Companies such as Casai use our product to obtain orders and price changes in real time.

MovingLake
Founded:2022
Team Size:3
Location:Mexico City, Mexico

Active Founders

Andres Paez

Worked as a Software Engineer and Product Manager at Amazon Prime, Google Search and Google Cloud Platform for about 7 years. Have worked as the CTO of Casai and Valoreo for the last 3 years starting technology teams from scratch leading software engineers, hardware engineers, software managers, data engineers, data scientists, IT professionals, DevOps engineers, product managers and product designers.

Andres Paez
Andres Paez
MovingLake

Edgar Cabrera

About ten years of Sofware Engineer Experience at startups of several stages. I have worked in developing products from scratch until they become scalable, robust systems. I love the feeling of my work bringing value to others.

Edgar Cabrera
Edgar Cabrera
MovingLake

Company Launches

Hi!
We are now launching our LLM-enabled BI tool which allows all of our clients to query their databases by using prompts in plain english.

Happy to announce that MovingLake user’s can not only get their data centralized in their data warehouse, but we are now enabling an end-to-end business intelligence experience where in a matter of minutes you can get the data flowing AND get the dashboards going.

This is important because not all of our clients are friendly with SQL or with BI tools. Letting them access their data in a secure way and using plain english questions is a game changer for them.

Ask

We are looking to integrate to other data connector tools and companies as well as other data products to be able to give the most value faster to our clients. Please reach out if this would be interesting to your company.

We are available at andres@movinglake.com and edgar@movinglake.com

Other Company Launches

MovingLake: Realtime, event-driven data connectors

Proprietary data connectors which feed both data and transactional systems
Read Launch ›