Alchemy IoT launches to simplify industrial IoT with artificial intelligence

Wednesday December 13, 2017 0 comments Tags: Lafayette, Alchemy IoT, industrial IoT, artificial intelligence, Victor Perez, Clarity, Jesse Aweida, Aweida Venture Partners

LAFAYETTE -- Alchemy IoT, a provider of IoT Asset Intelligence for industrial applications, launched with $4 million seed funding from Aweida Venture Partners and several angel investors.

The startup’s cloud-based application, Clarity, helps customers achieve a greater return on their industrial assets and competitive advantage.alchemy-logo

The product introduces a novel “no-code” approach to IoT Asset Intelligence that simplifies how fleet management, plant maintenance and manufacturing performance can be improved using artificial intelligence and unsupervised machine learning.

Alchemy said it will focus on helping small- to mid-sized industrial customers overcome the technical and data-science resource mandates that are needed -- and often unattainable -- to deploy today’s expensive and highly complex IoT solutions.

“The promise of artificial intelligence, machine learning and industrial IoT are very real, but so too are the challenges smaller organizations face when trying to adopt and gain value from these new technologies,” said Victor Perez, Alchemy CEO.

“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.”

Led by technology industry veterans from IBM, ABB, GE, StorageTek, Seagate and Sony Electronics, Alchemy defines its industry approach as “IoT Asset Intelligence,” an AI-based method to quickly gain knowledge and ROI from industrial assets.

Supporting Industry 4.0 and digital transformations, this cloud-based approach eliminates the complexity and expense of Big Data and IoT initiatives by shifting the value stream to the asset itself, Alchemy said.

The company said it aims to standardize workflows and enable no-code IoT adoption to preemptively solve problems and discover new business opportunities.

Through AI innovation, Alchemy also aims to make “data science” available to small- to mid-market industrial customers by delivering a contextual view of operational and performance data – fast, and at a fraction of the cost of expensive, heavyweight, customized solutions.

Its Clarity application creates a digital twin of industrial assets, allowing the full benefit of the Internet to make industrial assets and data feeds easy to connect to its IoT cloud application, the company said.

Using Clarity, teams can visualize asset information in graphical dashboards, analyze asset performance through unsupervised machine learning, and take proactive action to increase the productivity of industrial fleets and machinery.

Alchdemy said Clarity stands alone in its ability to deliver self-learning, predictive analytics to automate complex tasks typically performed by high-cost and scarce data scientists.

Offering asset data analytics through a low-cost SaaS model also enables customers to quickly deploy and scale thousands of devices within 48 hours of using Alchemy’s unique auto-provisioning capabilities.

“There’s no doubt that artificial intelligence and IoT will transform how companies operate and win in the industrial IoT market, and Alchemy has proven that it can make these technologies accessible smartly and practically,” said Jesse Aweida, Aweida Venture Partners GM.

“I am very excited to support the Alchemy team as it moves to simplify and speed time-to-value for industrial IoT through its ‘no-code’ and application-specific approach that perfectly aligns with Industry 4.0 mega-trend approaches.”

Alchemy said Clarity’s capabilities streamline the industrial IoT user experience to simplify how data is viewed and analyzed to track maintenance activities, monitor alerts and receive critical feedback on asset performance.