
The round underscores growing investor confidence in Indian industrial IoT solutions that combine AI and energy‑efficiency, a segment poised for rapid adoption across manufacturing and heavy‑industry sectors.
India’s industrial IoT market is entering a maturation phase, with venture capital increasingly targeting deep‑tech platforms that can deliver measurable efficiency gains. Recent funding data shows a shift from early‑stage seed checks to larger Series A rounds, reflecting confidence that these solutions can scale across the country’s extensive manufacturing base. DATOMS’ raise aligns with this trend, positioning the company among a select group of startups that have secured multi‑crore investments to accelerate product development and market penetration.
DATOMS differentiates itself through an AI‑powered predictive‑maintenance engine that not only flags imminent equipment failures but also optimizes energy consumption in real time. By converting physical assets into data‑rich digital twins, the platform enables OEMs and enterprises to shift from reactive to proactive service models, reducing downtime and operational costs. The company’s current footprint—over 25,000 machines across logistics, healthcare, cement, steel and mining—provides a robust data set that fuels continuous algorithm improvement, a critical moat in a competitive IoT landscape.
The fresh capital will likely catalyze DATOMS’ expansion into new verticals and geographies, while bolstering its engineering and data‑science teams to refine AI capabilities. For investors, the deal signals a validation of the business model that blends hardware connectivity with software analytics, a combination that can drive recurring revenue streams. As Indian manufacturers intensify digital transformation initiatives, platforms like DATOMS are well‑positioned to capture a growing share of the predictive‑maintenance and energy‑management market, provided they can sustain product innovation and manage the widening loss profile during rapid scaling.
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