Have you ever wondered how large enterprises manage their network of geographically distributed machines? Take the machinery operating the ONGC gas wells at Bokaro in India, for example. There are 50+ gas wells scattered across hundreds of square kilometres in Bokaro, yet the equipment in these sites is operated and managed from a centralized control centre.
The tech behind the seamless operation of these distributed machine networks is powered by the trifecta of IoT sensors + cloud computing + data analytics. At the heart of this technological convergence is DATOMS, a burgeoning deep-tech Industrial IoT (IIoT) startup founded by Amiya Samantaray in 2021.
DATOMS is on a mission to simplify remote operation and management of geographically distributed industrial equipment. They help industries bring transparency to business operations by setting up end-to-end IIoT solutions across their machine fleet. These IIoT solutions transmit telemetry data into the DATOMS platform, which deciphers machine data into actionable insights for service managers.
With offices in Bhubaneswar and Bangalore, DATOMS serves 200+ clients globally, including Indian giants like ONGC, Mahindra & Mahindra, and Tata Motors. They recently raised $1.2 million in a pre-Series A round.
In an exclusive interaction with Team ProdWrks, DATOMS’ founder and CEO, Amiya Samantaray, predicts that the increase in OpEx spending is triggering businesses to rent or lease machines from companies offering equipment-as-a-service (EaaS) rather than buying or owning the assets outright.
Amiya intends to position DATOMS at the centre of this paradigm shift by offering digital IIoT solutions for manufacturers and equipment leasing businesses to manage their geographically distributed machines better.
Before diving deeper into DATOMS, let’s look at Amiya’s product and entrepreneurial journey.
Building Deep-Tech Startups From Orissa
Pivoting From Aurassure to DATOMS
How Does DATOMS Work?
One example of DATOMS simplifying distributed operations is SELCO, a company supporting farmers with decentralized micro cold storage units in multiple locations in rural India. DATOMS has converted SELCO’s cold storage units into connected cold storage with their IIoT platform. It enables real-time monitoring of critical parameters such as temperature, humidity, compressor status, storage quantity, etc.
Design Thinking in Digital Industrial Products
Evolution of Industrial IoT Landscape
The Rise of Equipment-as-a-Service (EaaS)
We saw that in the OpEx model, equipment ownership has transformed into distributed ownership or distributed responsibility. So, the entire equation of machine management changes.
The three key stakeholders in this new OpEx era are:
1. The end users or businesses that are renting equipment from service providers.
2. The service providers or equipment leasing companies who own and rent out the equipment with an equipment-as-a-service business model.
3. Original Equipment Manufacturers (OEMs) and dealers who sell these connected machines to the service providers.
4. Insurance companies and financiers.
These stakeholders in the distributed equipment supply chain are looking for data from the same machines but for different purposes.
Ultimately, the OEMs are responsible for building a machine with IoT sensors and they needn a digital platform that can track and manage the data for each stakeholder’s requirements. Amiya believes this market gap will be the key for scaling DATOMS, as the platform can cater to the specific needs of the individual businesses in the EaaS ecosystem.
Data + Atoms = DATOMS
Data is the keyword of this story. We’ve seen that it is creating new opportunities and challenges in the connected machine ecosystem. The need of the hour is solutions that can efficiently manage data sharing among different stakeholders involved in the shared usage of distributed assets.
This is where DATOMS excels by facilitating the shared usage of machine data and helping independent business entities in different domains to function together in the new EaaS ecosystem.
Amiya concludes by saying that data will be the building block in this connected machine world, just like how atoms play a foundational role in the architecture of the universe.