Funding Round Brings Edge AI Platform Developer’s Total Up to $10M

PLEASANTON, Calif., Feb. 9, 2021 — Adapdix Corp., a developer of Edge AI automation and intelligent control software, received funding from SoftBank’s Opportunity Fund in support of a next-generation AI platform for the edge, enabling real-time predictive analytics and maintenance for enterprises. Adapdix, in a press release, said it has received investments totaling up to $10 million.

Adapdix’s EdgeOps is a software-only solution that combines advanced artificial intelligence and machine learning (AI/ML) analytics with a distributed, edge-based architecture. By enabling control where the AI data is, at the edge, Adapdix helps to increase model accuracy, reduce network cost and congestion, and cut latency. Adapdix said EdgeOps will initially focus on serving manufacturing companies in the semiconductor, electronics, and automotive sectors, with more industries planned for the future.

The SoftBank Opportunity Fund is a $100 million venture fund dedicated to supporting and building a community of outstanding Black, Latinx, and Native American founders.

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Published: February 2021

Glossary

edge: The flat or angled surface, usually fine-ground, that limits the aperture of a lens or prism surface.
computer vision: Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
machine learning: Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...

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