Alchemy IoT has launched with $4 million seed funding from Aweida Venture Partners to help make the Industrial Internet of Things (IIoT) easier via the use of AI.
Clarity, Alchemy IoT’s cloud-based application, is said to provide small- to mid-sized industrial customers with better returns on industrial assets by analysing asset performance through unsupervised machine learning and adopting proactive measures to boost productivity of industrial fleets and machinery.
The cellphone-enabled application introduces a novel "no-code" approach to IoT Asset Intelligence that eases the way how fleet management, plant maintenance and manufacturing performance can be enhanced through the use of AI and unsupervised machine learning. Some of the main features of the application are: monitoring of sensor data; AI-based analytics; and sending notifications and alerts about operational anomalies via web browsers, email or within the application.
Victor Perez, CEO for Alchemy IoT, said: "Our mission is to make AI-powered IoT a 'no-code' proposition, one that any industrial company can quickly start and put to use to gain fast value. Too many of today's IoT solutions require a massive budget and an extraordinary amount of customization to even getting started – we aim to disrupt and change that."
Alongside this, the company announced the introduction of a new industry approach "IoT Asset Intelligence” to address the complication and market fragmentation associated with Big Data, IoT and AI.
Talking about IoT Asset Intelligence, Perez said: "IoT Asset Intelligence combines our best thinking into an actionable framework to plan, implement and gain value from AI-based IoT initiatives – especially for smaller organizations that may lack the resources for expensive consultants and data scientists.”
According to Alchemy IoT, visibility and efficiency via a combination of data-driven processes and a renewed culture around innovation and critical thinking are the primary theme of the IoT Asset Intelligence framework.
Some of the core tenets of IoT Asset Intelligence are: leveraging data intelligence to make meaningful business decisions; working with existing tools to optimise and enhance current processes; identifying processes for the purpose of improvement and align new value streams and setting up top-line goals and ROI opportunities.
The most recent figures released by IDC estimate that there will be 30 billion connected devices throughout the world by 2020.
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