A simulation platform to train AI to understand the world.

AI.Reverie is a simulation platform that trains AI to understand the world. 

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AI.Reverie Named to the 2019 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups

CB Insights today named AI.Reverie to the third annual AI 100 ranking, showcasing the 100 most promising private artificial intelligence companies in the world.

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Our simulation platform generates synthetic data to train and improve machine learning algorithms.

The success of deep learning, a way to approach machine learning, has brought an insatiable hunger for data. However, data at scale is often proprietary, expensive, and laborious for people to manually prepare.  The best way to deal with these challenges is with synthetic data — data created in virtual worlds rather than collected from the real world.  


Video Demo: AI.Reverie Simulation Platform


Our Services

We partner with businesses across industries to support their unique training data needs.



We build photorealistic virtual worlds to closely mimic any real location where our client's services are being used.

Photorealism ensures that our synthetic data is effective in training AI to operate in the physical world. Because simulations are easier to control, these virtual worlds are the best place to test, train, and improve AI.




We offer diverse images and scenarios to help algorithms generalize well and reduce bias.  

Photorealistic objects, difficult to reach places such as underwater locations, hard to replicate scenarios like extreme weather, varying perspectives from top down to bottoms up, costly real world tests like crashes all become easily simulated in virtual worlds.



We provide fully annotated synthetic data that can be used to immediately train machine learning algorithms.  

Annotations such as 2D and 3D bounding boxes, semantic and instance level segmentations, surface normals, depth masks, edge masks, velocity annotations are all automatically generated in real time.  

Synthetic data is a powerful method for training AI because of its scalability and flexibility.

Implementing solutions to narrow AI problems is expensive, but there is great potential in overcoming them using a synthetic data approach — data derived from a virtual photorealistic world that we’ve been pioneering at AI.Reverie.

Preview: The Value Of Synthetic Data (5:00 minutes)


Our Talks

Unreal Engine in Autonomous Vehicle Simulation

Nvidia GTC DC, Washington, D.C., October 22, 2018

How to Augment Sparse Training Data Sets With Synthetic Data

O’Reilly AI Conference, London, UK, October 10, 2018

Our Writings

The case for a synthetic approach to Narrow ai

By Daeil Kim, October 2, 2018


Our Investors

"AI.Reverie will be able to accelerate the performance of vision algorithms across many vertical markets, at scale and low cost and we are excited to be their partners."

Raanan Bar-Cohen, Co-Founder at Resolute Ventures


Tell us about your data needs.