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

AI.Reverie Announces Strategic Partnership and Investment with In-Q-Tel

AI.Reverie announces a strategic partnership and an investment from In-Q-Tel (IQT). IQT is the not-for-profit strategic investor that identifies and accelerates the delivery of innovative technology solutions to support the mission of the U.S. intelligence and defense agencies that keep our nation safe. This strategic partnership reinforces AI.Reverie as the market leader in synthetic data and further validates the company’s proprietary computer vision simulation platform in supporting the operational requirements of U.S. government agencies.

OUR MISSION

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.

scale

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.

DIVERSITY

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.

ACCURACY

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.

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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.