AI.Reverie of San Jose, CA announced on March 12 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.
“AI.Reverie’s
platform enables U.S. government agencies to significantly advance their
computer vision capabilities,” said Peter Bronez, senior member of technical staff
at IQT. “It has the potential to significantly improve the accuracy of AI tools
that detect objects and activity to keep our nation safe.”
There is a
significant need for large amounts of diverse data that mimics real-world locations
and objects to train mission-critical computer vision applications. AI.Reverie
generates an entirely new class of data that successfully trains and improves
computer vision algorithms at scale.
Key benefits of
AI.Reverie’s platform include:
- Photorealistic Virtual Worlds: The company
builds photorealistic virtual worlds to closely mimic any true location where
clients’ services are used. Photorealism ensures that the synthetic data is
effective in training AI to operate in the physical world. Because simulations
are easier to control, these virtual worlds are the most effective place to
test, train and improve computer vision algorithms.
- Diverse Objects and Scenarios: Reverie offers
diverse images and edge-case scenarios to ensure that the training algorithms
generalize well. Difficult-to-reach places such as underwater locations,
hard-to-replicate scenarios such as extreme weather, varying perspectives from
top-down to bottom-up, and black swan events like crashes all become easily
simulated in virtual worlds.
- Near Zero Cost Annotations: Reverie provides
automatically-annotated synthetic data — at scale and without errors — saving
time and lowering costs for training computer vision algorithms. Annotations
such as 2D and 3D bounding boxes, semantic and instance-level segmentation, and
more are all automatically generated in real time.
“The endorsement from IQT is a major milestone for AI.Reverie and further validates the company’s proprietary computer vision simulation platform,” said Daeil Kim, founder and CEO of AI.Reverie. “We expect our partnership to address the need to deliver images and annotations at scale in order to effectively train mission-critical computer vision AI applications.”
Source: AI.Reverie
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