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Innovative IoT Startups to Keep an Eye On in 2019-20

You have observed the trends, and you may have had the opportunity to attend conferences that lauded the indisputable influence of the Internet of Things (IoT) on every industry. Even if you were asleep at the wheel, an IDC report predicting that internet of things spending will reach $1 trillion by 2022 should jolt you awake to the fact that there is more IoT around you. Rather than debating whether the Internet of Things is a good idea or not, the conversation has shifted to “what is more with IoT,” as an increasing number of small and large enterprises make the transition to more complex connected systems. If we fast forward to 2025, managing 60 billion connected devices would necessitate the hiring of an unthinkable number of Internet of Things workers, while breakthroughs like these have raised the bar on the innovation scale. There will be more Internet of Things (IoT) than anything else.

Here’s what four of the most promising Internet of Things startups are up to.
Seebo

Manufacturing companies can benefit from predictive analytics.

In manufacturing facilities, process-driven losses affect not only the yield of the production but also the quality of the finished product. The capacity to study such process inefficiencies that are causing these losses in the future might revolutionise industrial preparation, which is exactly what Seebo is aiming to achieve. As part of its analysis of the client’s production line, Seebo uses a visual, code-free modeller that feeds the information into an AI-powered digital twin. Seebo, which is hosted in the cloud, combines the digital twin, automated root cause analysis, and predictive analytics into a single solution, allowing manufacturers to address process inefficiencies throughout the manufacturing process.

When dealing with multi-time-series data in this setting, Seebo takes data from the production line and provides actionable insights to manufacturing teams so that losses can be discovered and predicted. In addition to identifying the key suspects for process inefficiencies, Seebo uses predictive analytics to predict when they will occur next, giving it the potential to prevent them from occurring. Seebo accomplishes this by promoting constant improvement in yield and quality.

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The ease of setup and use, on the other hand, are the main attractions here. It is worth noting that the system simply synchronises with various industrial systems on the production floor, making it simple to configure and implement. Industrial artificial intelligence (AI) systems are proving to be extremely beneficial in manufacturing facilities, according to Lior Akavia, CEO of Seebo: “By leveraging machine learning capabilities, manufacturers receive complete operational intelligence from the site level down to individual machines.” In this way, they can foresee and prevent process-driven losses, and as a result, they can continuously improve throughput and quality.”

By 2020, the Internet of Things (IoT) will be used in manufacturing, logistics, and transportation, generating USD 40 billion (Forbes). Several leading manufacturers, like Nestle, Procter & Gamble, Allnex, and others, are utilising the Seebo platform to assure continuous improvement in their manufacturing operations.

RapidPricer

Retailers can benefit from an automated shelf pricing solution.

Retail items, particularly fast moving consumer goods (FMCG), have a limited shelf life since their value fluctuates frequently due to factors such as shelf life, competition, demand, and seasonability. Matching a product’s changing worth to its price is a hard and time-consuming process. A retailer’s automated pricing solution, such as RapidPricer’s, assists them in rapidly identifying products that are approaching expiration and adjusting pricing based on internal storage or external market conditions. This not only prevents wastage, but it also keeps an eye on excess inventory, allowing profit margins to be increased to greater levels. It is evaluated in real time to find chances for reducing wastage and inventory levels based on data from multiple IoT sources located throughout the store. The most appropriate price for the product is then calculated using artificial intelligence, and this price is immediately reflected on the Electronic Shelf Labels at the retail store shelf.

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“The future of retail is becoming increasingly automated with Artificial Intelligence,” says Kiran Gange, CEO of RapidPricer. “Price is a component that has a direct impact on the bottom line of the shop.” The task of placing every single price in a retail store on autopilot is something we really enjoy. In order to increase store profit margins, it is necessary to reduce waste and ineffective promotions.

RapidPricer’s solution, in contrast to conventional consulting solutions, makes pricing decisions at the Product – Store level through the use of automated algorithms, rather than human judgement. This frees up the retailer’s time to devote more attention to strategic management rather than tactical execution. Rapid Pricer is developing the optimal combination of Internet of Things (hardware) and artificial intelligence (software) in order to improve decision-making in pricing, promotions, and inventory management.

Mobodexter

Edge computing allows for the development of localised data intelligence.

Currently, approximately 10% of enterprise-generated data is created and handled outside of a traditional centralised data centre or cloud. Gartner projects that by 2025, this percentage would climb to almost 75%. Because it has established itself as a pioneering IoT services provider, Mobodexter is enabling businesses to make full use of this data by keeping it local and reducing overhead costs. Whatever might be centralised has been centralised, and businesses have begun to look for more effective ways to control network outages and system downtimes in order to stay competitive.

Mobodexter’s edge computing solutions, as opposed to storing all data in a centralised location (the cloud), analyse sensor data closer to the devices that generate it. – We are one of the pioneers in the field of edge computing, according to Mouli Srini, the company’s CEO. Our Edge computing technologies are targeted at assisting our clients in the development of Internet of Things solutions that are efficient in data analysis, have a faster reaction time, and require less ongoing maintenance. Our clients also appreciate the flexibility of being able to operate our Edge software on any hardware or cloud platform that they choose. Mobodexter designs and develops sophisticated Internet of Things Edge systems for enterprise applications. It includes a number of Edge software components that enable devices to connect to each other and analyse data at the edge. Because Mobodexter’s Edge software operates in a docker environment, which allows for more scalability, the company’s Edge software is not dependent on specific hardware.

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Breadware

Logo for the breadware industry

Planning and directing the growth of the Internet of Things

Are you currently developing or planning to develop an Internet of Things product? Breadware is the best platform for you to work with! Breadware, by dedicating an entire market sector completely to the Internet of Things, enables you to collaborate with a diverse range of technological partners and accelerate the development of your IoT product. In order to reduce time to deployment and achieve faster time to market, the platform enables product owners, developers, engineers, designers, advisors and marketers to quickly identify and connect with like-minded resources. This allows them to achieve faster time to market while ensuring the creation of high-quality connected systems. Because a scarcity of data scientists could prevent 75 percent of enterprises from realising the full potential of the Internet of Things, platforms such as Breadware face a difficult challenge ahead of them.

Breadware goes beyond resourcing to cover the full landscape, providing managed services for budgeting, conceiving, developing, and testing. Apart from assisting you in aligning your hardware, firmware, and software development lifecycles with intuitive tools, the platform also assists you in collaborating with the most appropriate businesses inside the industry. As of now, the platform has shown to be reliable in assisting hundreds of businesses in successfully implementing their Internet of Things initiatives.

As 127 devices are connected to the internet every second, the era we are living in is undoubtedly poised for a momentous transformation.

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Evangeline Christina is a Cyber Security Enthusiast, Security Blogger, Technical Editor, Certified Ethical Hacker, Author at Cyberspecial.net. Previously, he worked as a security news reporter in a reputed news agency.