The potential of AR

AR has proven to boost commerce and deliver ad experiences that customers actually like - despite this, less than 1% of businesses currently make use of this technology.

It is hard to make good AR experiences, requiring deep expertise in multiple fields of computing; AI, motion capture, digital photography, 3D design and cloud computing.

Currently, social media companies are capitalising on their scale and tech knowledge to monopolise access to AR tech. We believe in removing barriers and letting any team use AR to create experiences that delight their customers and drive growth.

The new AR stack

DeepAR combines a powerful SDK with features that enable scalable AR in any product within minutes.

Assets

Choose from readymade AR filters, effects and characters for any application. Create new assets in DeepAR studio, or re-use your Snapchat or Instagram assets.

SDK

Our core product is an SDK that makes AR enabled features easy.

Infrastructure

Our cloud-based infrastructure provides reliability, scalability and security.

Removing complexity

We work on neural networks, scalability, cross-platform support, optimisations and asset creation so product teams who run on DeepAR don’t have to.

Product

Diagram showing all the features and considerations DeepAR take into account

From startups to the world’s largest companies

A variety of companies from luxury brands to game studios all over the world use DeepAR to run and scale their products.

Coca Cola
Google
Verizon Media
Ray Ban
Hike
Luxotica
NFL
Oath
Lego
Tencent
WeChat
Warner Bros Games
Teads
HTC
Lush
Sephora

DeepAR has two headquarters - London and Zagreb

We are a team of engineers, researchers, 3D designers and animators from MIT, Imperial College, Tsinghua University and ESIEE Paris.

2014

DeepAR launched

3

Published papers

60 million

Monthly users

George Berkowski

George Berkowski

Co-Founder

Nicolas Livet

Nicolas Livet

Head of Deep Learning, Co-Founder

Matej Trbara

Matej Trbara

Head of Engineering