Ubiqedge Raises INR 10 Crore to Scale AIoT Platform for Industrial Infrastructure

Ubiqedge, a full-stack AIoT (Artificial Intelligence of Things) company for industrial infrastructure, has raised INR 10 crore in a seed funding round led by Piper Serica. The round also saw participation from Shibam Das (Co-founder and CEO, Atomberg) and Sumit Chhazed (Co-founder and CEO, OTO). 

The company is building an AIoT Operating System for industrial infrastructure, designed to help enterprises monitor, control and optimise critical assets such as water systems, energy infrastructure and construction operations in real time.

The idea for Ubiqedge emerged from a clear gap in how infrastructure is currently managed. While industries are under increasing pressure to meet regulatory requirements and improve efficiency, most operations still rely on fragmented systems, manual monitoring and delayed decision-making, resulting in significant losses across water, energy and operations.

Ubiqedge addresses this by combining its hardware platform, KLEON, with its AI-powered software layer, SAMASTH, to create an integrated system that converts real-time data into actionable insights and automated controls. The company is now extending this into a unified AIoT Operating System that allows enterprises to deploy and manage infrastructure solutions with minimal technical complexity.

Today, Ubiqedge is actively deployed across use cases spanning water management, air quality monitoring, solar energy optimisation and in-transit concrete management. Notably, it has digitised over 23,000 borewells, becoming the largest player in groundwater digitisation in India. Its AI-led support systems have also reduced issue resolution timelines by over 80 percent, enabling faster on-ground execution. The company is helping industries and commercial establishments fulfil compliances in regards to CGWA, CPCB, SPCB, MNRE, Municipal Corporations, etc.

From a business performance perspective, Ubiqedge has been profitable since its first year of operations, demonstrating an uncommon trajectory in the DeepTech ecosystem. 

Visat Patel, Co-founder and CEO, Ubiqedge, said, “This fundraise validates our belief that industrial infrastructure is the next big frontier for technology. Across industries, we see significant inefficiencies in water, energy and operations, largely due to lack of real-time intelligence.” 

He further added, “At Ubiqedge, we are solving this by building an AIoT Operating System that simplifies technology and enables industries to monitor, control and optimise their infrastructure in real time. From reducing water losses and ensuring compliance to improving solar efficiency and minimising concrete rejection rates, our focus has always been on delivering tangible business outcomes. Being profitable from our first year reinforces that we are solving real, large-scale problems. With this capital, we aim to scale our deployments, strengthen our platform and accelerate adoption across industries.” 

Ajay Modi, Investment Director, Piper Serica, said, “Ubiqedge is building a new category with its AIoT Operating System for infrastructure, a full-stack platform backed by strong unit economics, regulatory tailwinds, and a deep understanding of ground realities across water, energy and air. Its founding team combines strong technology depth with proven execution, making it well placed to scale a profitable deeptech business. At Piper Serica, we back tech-first founders solving large structural problems and we’re proud to lead this round.”

Ubiqedge will utilise the raised capital to support its next phase of growth, strengthening its AI capabilities; scaling deployments across water, air quality, solar, construction and other industrial use cases; and expanding its ecosystem of system integrators and OEM partners to accelerate adoption.

Over the next 12–24 months, Ubiqedge aims to become the default platform for infrastructure monitoring and control, as enterprises increasingly look to reduce operational losses, ensure compliance and improve efficiency through real-time, data-driven systems.