Public transport app designed to plan journeys using real time data, scientific algorithms and machine learning
Our combination of scientific algorithms, real time processing of traffic situations and crowd-sourced reports allows us to predict journey durations and arrival times 200% more accurately than our competitors and local transit authorities. Data quality and accuracy is the critical component in this business and we’re not compromising on it whatsoever
A self-learning algorithm helps us to understand the local commuting experience. Machine learning works by understanding local patterns and provides unique results and preferences for different cities and different users without the need for manual data tuning
The beauty here is not only that we allow users to create any public transport related content, but also that our search algorithm filters and takes into account what’s important to them, so we can notify other fellow commuters and dynamically adjust routing. Crowd-sourcing at its best!
Martynas, the first of his name, is the King of TRAFI and protector of the realm. ‘GoT’ fan obviously, snowboarder and aviation geek. Believes he can land an A380 safely...
Few keywords to describe Jurgis: International computer science competitions, MIT, theoretical physics, PhD, CTO, string theory, squash, Belgium beer, enough?
During his spare time when Mantas is not wakeboarding, snowboarding, skydiving or riding superbikes, he heads up our business development and boy, is he the master!
Financial wizard of the Trafi kingdom, sports fanatic and super proud Dad. I am a sample size of one, statistically significant, and representative. Analogue at birth, digital by design.
Our Dutch navigator of international growth and master of partnerships. Used to playing out loud at Spotify and Skype. Studies Peppa Pig in his spare time.
When he’s not heading the user acquisition of the company, Evan spends most of his time talking to a camera, editing video of himself talking to a camera, or tweeting the video of himself talking to a camera.
Tadas is our iOS Champion: 6 times featured in App Store and has '2014 app of the year’ award under his belt. Veggie & old motorcycle racer.
Dreamed about being MC after finishing Cambridge but eventually ended up at Google. Now back-end architect at TRAFI as well as a hipster. Still can rhyme though.
Our own Simonas develops Android, robotics, drones, but mostly Android. Riding electric bike and dreaming about Tesla.
Shaved his head after Jony Ive, will name his daughter – Steve. Our chief UX everyone! Did game development but ended up designing furniture. Psst... Recovering tinder addict.
The governor of community management and customer support. The confessor and the collector of our users' voice. Fair but sarcastic. Breaks silence quicker than a FIFA commentator!
She is the office manager who whips everyone into shape. Be it a mundane task or a once-in-a-lifetime office party, she will manage it to the letter, because she loves what she does. And she loves to smile. A lot.
We wanted him to cook us something interesting with his infinite chemistry knowledge from Cambridge. He refused. So now he studies our user's behavioral patterns. Likes dancing on the side.
If there's but one word one could use to tell you about Tadas - verySeductiveStoryteller. Could do backend while on motorcycle if needed.