Industrial IoT startup DATOMS has raised ₹25 crore (approximately USD 2.76 million) in a Series A funding round led by Vietnam-based investment firm Big Capital JSC, as it accelerates the expansion of its enterprise intelligence platform across asset-heavy industries. The round also saw participation from IvyCap Ventures and a follow-on investment from YourNest Venture Capital, reaffirming investor confidence in the company’s industrial AI and connected machines play.
Founded in 2021 by NIT Rourkela alumni Amiya Samantaray, Asish Sahoo, Nataraj Sahoo, and Amrit Biswal, DATOMS builds a unified intelligence layer that transforms physical machines into connected, trackable assets throughout their lifecycle. The platform enables enterprises and OEMs to connect equipment, monitor performance in real time, predict breakdowns, optimize energy consumption, and streamline service operations across stakeholders.
Tackling Data Fragmentation in Industrial Operations
Industrial ecosystems often struggle with fragmented machine data spread across OEMs, enterprises, dealers, service partners, and financiers. This lack of integration forces organizations to operate reactively, limiting visibility into performance and lifecycle outcomes.
DATOMS aims to address this gap by centralizing data and embedding AI-driven insights into operational workflows. The company operates at the intersection of Industrial IoT, Energy Technology, and Enterprise SaaS, targeting the global connected machines and industrial digitalization market valued at $18 billion.
The newly raised capital will be deployed to strengthen product and technology capabilities, expand into new geographies, and hire across engineering, data science, operations, and enterprise sales. The company also plans to enhance its AI and analytics engine, deepen automation features, and accelerate development of predictive maintenance, performance optimization, and energy management solutions.
“We believe the next decade belongs to intelligent machines. This funding accelerates our mission to transform industrial assets into connected, self-aware systems that deliver measurable business outcomes,” said Amiya Samantaray, Founder and CEO, DATOMS.
Strong Investor Backing and Growing Enterprise Adoption
Prior to this Series A round, DATOMS had raised ₹3.5 crore in a pre-Series A round last summer with participation from Operators Studio and APT Research. Existing investors such as Ridik Capital, Warmup Ventures, and BeyondSeed have backed the company in earlier rounds.
Vikram Gupta, Founder and Managing Partner at IvyCap Ventures, said the firm is optimistic about DATOMS’ ability to scale its AI-driven Industrial IoT platform for asset-intensive sectors, highlighting the team’s execution strength and measurable value delivery.
Echoing similar confidence, Girish Shivani, Executive Director and Fund Manager at YourNest Venture Capital, noted that the coming decade will be shaped by how effectively organizations harness data, and positioned DATOMS as critical infrastructure at the intersection of AI and enterprise data ecosystems.
Expanding Footprint Across Industries
DATOMS’ technology is already deployed across quick commerce dark stores, logistics warehouses, healthcare facilities such as MRI and CT scan rooms, and industrial plants spanning cement, steel, mining, and manufacturing sectors. The platform helps reduce downtime, improve efficiency, and lower energy consumption.
The company partners directly with OEMs to embed its intelligence layer into machines, enabling continuous monitoring throughout the asset lifecycle.
Over the past year, DATOMS has more than doubled its revenue as enterprise customers expanded usage. The platform now monitors over 25,000 machines, with an ambitious target of reaching 1 lakh machines within the next year, signaling a shift toward repeatable, scalable enterprise deployments.
With offices in Bhubaneswar and Bengaluru, DATOMS serves more than 100 customers globally. Over the next three years, the company plans to deepen engagement with existing clients, enter new industries, enhance AI prediction capabilities, expand across India, and pursue international growth, with the goal of building a leading operational intelligence platform for connected machines.
– By Shivani Solanki
