CVEDIA Becomes First Synthetic Data Company to Solve 'Domain Gap' Problem, Deploying AI Without Data

LONDON, June 30, 2021 /PRNewswire/ -- CVEDIA, a computer vision AI solutions provider, is announcing that it has officially solved the domain adaptation gap using its proprietary synthetic data pipeline. The domain gap, a major bottleneck in AI development, is the inability for algorithms trained on synthetic data to perform as well as those trained on real data. CVEDIA is claiming a precision improvement of 170% while sustaining a gain of 160% on recall over benchmarks. Solving this problem will allow AI technologies to scale without the burdens of data collection and labeling.

The company has recently announced several high-profile clients who have integrated the breakthrough technology into their products, including smart city solutions provider Cubic, smart home technology company Vivint, and defense supplier FLIR, recently acquired by Teledyne Technologies.

The domain gap has long been a problem posed to computer vision engineers - significant because data poses extreme barriers to project completion. VentureBeat reports that only 13% of data science projects are completed¹ - often due to data issues including high expenses, the extensive time involved to collect it, and staffing requirements associated with technical utilization. By solving for the domain adaptation gap, clients will be able to sidestep the entire data process with completely synthetic AI, built without ever collecting data.

"We're the first synthetic data company that can create resilient AI with zero data," says Arjan Wijnveen, CEO and Co-founder of CVEDIA. "We've improved our technology to a point where it usually works even better than real data, because synthetic data can eliminate bias. We have clients that have been waiting for this technology to exist because it opens up possibilities for new products and markets."

CVEDIA operates in a market of computer vision synthetic data companies, including DataGen, Anyverse, and AI.Reverie. CVEDIA synthetic data technology paves the way for clients to overcome data bottlenecks, allowing them to focus on scalability and productization.

Sources:

1. https://venturebeat.com/2019/07/19/why-do-87-of-data-science-projects-never-make-it-into-production

Press Contact:
Rebecca Banks
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About CVEDIA:

CVEDIA takes the work out of computer vision development. The future of AI is simple - that's why we built technology to bring your ideas from concept to market in 2-4 weeks. Our market-leading synthetic data technology lays the foundation for more accurate, more powerful, and easier-to-understand AI - all while integrating into your team's workflow and hardware.

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SOURCE CVEDIA