Shunya Os

A low code AIoT platform to build market ready AI and IoT solutions fast.

General Information
Company Name
Shunya Os
Founded Year
2019
Location (Offices)
Founders / Decision Makers
Number of Employees
2
Industries
-
Funding Stage
-
Social Media

Shunya Os - Company Profile

Shunya Os, founded in 2017, is a promising player in the AIoT space with its low code platform emphasizing the rapid development of market-ready AI and IoT solutions. The company's slogan "A low code AIoT platform to build market ready AI and IoT solutions fast" aptly captures its value proposition. Shunya Os' AIoT platform enables AI, particularly computer vision, on the edge, paving the way for advanced solutions in industries such as IIoT. This capability holds the potential to not only enhance operational efficiency but also significantly improve profitability within a short timeframe. Shunya Os' approach aligns with the growing demand for efficient AIoT solutions that can be quickly deployed in various industry verticals. While the headquarters information is not available, the focus remains on the essence of the solution and its potential impact. Although details about the last investment round and the participating investors are currently unavailable, the company's innovative approach and strategic positioning within the AIoT landscape make it a compelling option for potential venture capital consideration. In summary, Shunya Os presents an intriguing proposition in the AIoT domain, aiming to streamline the development of AI and IoT solutions through its low code platform. Its emphasis on edge computing and real-time AI applications positions it favorably in the rapidly evolving landscape of industrial and enterprise IoT. While further information on recent investments and current headquarters would provide additional insight, Shunya Os' value proposition and industry relevance make it a compelling candidate for venture capital interest.

Taxonomy: AIoT platform, low code development, Shunya OS, AI on edge, industrial IoT, computer vision, edge computing, IIoT solutions, facial recognition, object detection, pose detection, industrial interfaces, AIoT product development, edge AI, hardware AI

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