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Omniflow on Omdena's list of 26 Innovative Edge AI Companies You Should Know in 2023

2023 has just started, and here is a list of 26 lead Edge AI for good companies to watch who are making a positive impact on society.

The Omdena “Impact Tech Startups Series” comprises game-changing startups, stories, and thought-leadership pieces from leading impact ventures solving real-world problems.


The edge AI market is growing rapidly and is expected to continue to grow in the coming years. The exact size of the market can vary based on the source and methodology used to estimate it, but it is generally agreed to be a multi-billion dollar industry. According to a report by MarketsandMarkets, the edge AI market was valued at $2.6 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 32.3% from 2021 to 2026, reaching a market size of $13.5 billion by 2026. The growth of the edge AI market is driven by the increasing demand for low-latency and real-time processing, particularly in industries such as industrial IoT, automotive, and surveillance.

In this blog post, we will take a look at the top Edge AI companies you should keep an eye on in 2023. Edge AI companies, which not only are leading technically but also generate a positive impact on the world.

What is edge AI? How does edge AI work?

Edge AI enables real-time decision making, reduces latency, and conserves bandwidth by performing data processing and analysis at the edge of the network, rather than in a centralized data center or cloud. The edge AI market is growing rapidly due to increasing demand for low-latency and real-time processing, particularly in industries such as industrial IoT, automotive, and surveillance. Some of the key players in the edge AI market include NVIDIA, Intel, Google, Microsoft, and Amazon.

These solutions leverage advances in computer vision, deep learning, natural language processing, robotics, and other AI technologies to give machines the ability to interpret and react to their environment in real-time. By combining these technologies with edge computing, edge AI solutions can process data quickly and accurately, enabling a range of applications from healthcare to smart cities.

What are examples of edge AI?

There are several edge AI companies and startups that are developing innovative solutions for businesses. Google, Amazon, Microsoft, Facebook, Apple, Alibaba, Baidu, Salesforce, Intel, and IBM are all leading-edge AI companies pushing this technology’s boundaries.

Google has invested heavily in the development of edge AI technology with its Edge TPU chips and ML Kit platform. Amazon is also an important player in the edge AI space, with its AWS DeepLens offering that helps developers build and deploy computer vision applications quickly and easily. Microsoft is one of the largest providers of edge AI solutions and provides Windows ML, which can be used to deploy models on any device with Windows 10.

Facebook is another major player in edge AI, offering tools such as PyTorch Mobile, a library of pre-trained models and easy-to-use APIs for deploying machine learning models on mobile devices. Apple has been making strides in edge AI with Core ML and its suite of tools for building intelligent apps. Alibaba is also a major player in the edge AI space, offering the X-Brain platform for edge computing.

Baidu has developed the DeepBench platform to benchmark AI performance across different devices. Salesforce is focused on using edge AI to power customer engagement platforms, and Intel has developed an AI developer kit to enable developers to build powerful edge applications. Finally, IBM has released its PowerAI Edge platform to help developers deploy deep learning applications at the edge.


Omniflow is a company that provides sustainable smart city solutions. Their solutions are designed to help cities become more efficient and sustainable while also providing citizens with access to the latest technology. They offer a wide range of services, including energy management, water resource management, waste management, and urban mobility.

  • Founder(s): Pedro Ruão

  • Founding year: 2012

  • Headquarters: Porto, Lisboa, Portugal

  • Funding: Non-equity Assistance

How do you measure impact?

Omniflow Smart IoT Lamppost powered by wind and solar transforms a regular street light into a sustainable smart infrastructure ( 90% lower power consumption ) capable of housing multiple added-value applications like 5G, Computer Vision, and air quality monitoring.

We use AI on the edge to collect/analyze data from multiple sources and make decisions with very low latencies. One of the applications is related to traffic and pedestrian safety, analyzing dangerous interactions and taking measures to avoid collisions.

Our impact is lowering the CO2 footprint of street lights, using them to provide an extra layer of safety and information for urban environments.


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