Lyft hired their first A.Team to improve and scale one of their most innovative products — Amp. The hardware lights up when drivers have a new ride request. For faster, easier pick-ups, it signals to the rider in their rider app the color to look for in their driver's amp. And it even welcomes riders by name, including a special message for holidays or events.

Discord needed a team of data scientists and risk engineers to help the Safety Data Science team reduce fraud and spam. The vision was simple: use data science to make Discord a safer place by improving the efficacy and usage of our anti-abuse platform and by working on a home-grown tool to reduce spam and fraud. So they brought in two top builders from A.Team’s network. The result? A massive reduction in fraud which saved Discord millions of dollars.

The Economist, a global media company, hired an A.Team to grow their mobile app's daily users exponentially. They brought in two tech leads to help them build the roadmap and choose the right technology to scale. Their mobile app already had over one million daily users. They wanted builders who had built similar mobile apps before to help them prepare the architecture for scale.

Ledger, a hardware crypto wallet company, built an A.Team to create a companion app that acts as a remote control for Ledger Live—the homebase for all things crypto management. With A.Team’s building expertise, a browser extension that enables investors to interact with web3 services on any blockchain was brought to life, providing the high level security and reliable communication necessary for crypto transactions.

eToro brought on their A.Team to build from scratch a new UX and product design for their leading social trading platform, with millions of registered users and an array of innovative trading and investment tools. They partnered with A.Team to access crypto and blockchain specialized designers.

PepsiCo’s eCommerce team needed back-end Elixir engineers to ramp up the eCommerce platform for Gatorade.com and Rockstarenergy.com. The platform required data modeling, testing, scalability, operability, and ongoing metrics—demanding versatility and leadership from A.Team.