Data Engineering

As summer comes to an end, it’s time to hang up our beach towels and…

Nexla is a next-generation data operations platform that manages secure inter-company data collaboration at scale. Our launch comes on the heels of the company’s $3.5 million seed funding round led by Blumberg Capital with participation from Storm Ventures, Engineering Capital and Correlation Ventures.

We finally get to share the good news that Nexla has been selected as a contender for TechCrunch Disrupt NY Startup Battlefield!

We’re honored to be joining the 19 other startups competing for the Disrupt Cup. Nexla will be pitching tomorrow, Tuesday, May 16. Hope to see you there or on the live stream!

When faced with a difficult question, mathematicians like to solve from first principles. Engineers get down to nuts and bolts. Most of us call it “going back to basics.” Letting go of assumptions and relying on fundamental concepts is a great way to find a clean, high quality solution to a difficult problem. As an engineer, I followed that approach in my work and as an entrepreneur, one of the first things the Nexla founding team did was to codify the core cultural values of our company. Those cultural values are our first principles, our nuts and bolts.

Automotive is the buzzing topic at CES 2017. That’s no surprise given the pace of innovation in vehicle connectivity and autonomy. But beyond the cool concept cars and live demos, CES discussed questions about safety, regulation, social impact, smart cities and how these new vehicles will change life and jobs as we know it. New vehicle technology has the opportunity to transform how we live, and save lives while doing it. But is the automotive industry ready for this challenge?

Welcome to the Nexla blog! We’re happy to debut our new blog and logo just in time for the AT&T Developer Summit and CES. We want to make it easier for companies to be able to collaborate with data, and for data engineers to do their jobs faster and with ease. We aim to simplify the complexity of data operations in the machine learning age. We wanted our logo to reflect this commitment to simplicity.