Infinite Uptime, an Indian startup specializing in predictive maintenance solutions for factories, has successfully raised $35 million in a Series C funding round. The company aims to strengthen its footprint in the U.S. and other international markets, capitalizing on the growing demand for AI-driven industrial automation.
Bringing Tech to Traditional Manufacturing
The manufacturing sector has long lagged in tech adoption, with many factories still relying on aging, energy-intensive machinery. However, technology is gradually making inroads, particularly in predictive maintenance and repairs—an area where Infinite Uptime is carving its niche.
The startup leverages proprietary sensors, advanced software analytics, and AI-powered diagnostics to provide real-time maintenance insights. Its smart dashboard offers live monitoring, enabling manufacturers to optimize efficiency and reduce downtime.
“We provide manufacturers with precise recommendations on plant operations—what needs attention, which parameters require monitoring, and which assets need correction,” said Raunak Bhinge, founder of Infinite Uptime, in an interview with TechCrunch.
Advanced AI and Sensor Technology
Infinite Uptime’s piezoelectric sensors stand out for their ability to operate in extreme conditions, including high-temperature and highly acidic environments such as phosphoric acid, nitric acid, and sulfuric acid plants. The company has secured five patents for its innovations, reinforcing its technological edge.
While industry giants like Rockwell, Siemens, and Honeywell have been providing AI-powered automation for years, and startups such as Augury offer similar predictive maintenance tools, Bhinge believes Infinite Uptime’s approach is unique. Unlike competitors that rely on top-down systems like programmable logic controllers (PLCs) or programmable limit switches (PLSs), Infinite Uptime’s technology is designed for broader adaptability. Additionally, the startup claims that existing microelectromechanical systems (MEMS) sensors have limited applications in high-temperature environments, making its solution more robust for industrial use.
Targeting Key Industries for Maximum Impact
The company serves manufacturers across various sectors, including steel, cement, metals, mining, fertilizers, chemicals, and paper. It also collaborates with OEMs, integrating its AI technology into new industrial products.
Infinite Uptime’s predictive maintenance solutions have reportedly saved its customers over 74,274 hours of downtime while improving productivity, energy efficiency, safety, and compliance by 5% to 10%.
Expanding Global Reach with New Funding
Currently operating in 800 plants across nearly 30 countries, Infinite Uptime aims to accelerate its U.S. expansion with the newly secured capital. The Series C funding round was led by Avataar Ventures, with participation from StepStone Group, LGVP, and existing investors Tiger Global and GSR Ventures. According to Crunchbase, this brings the company’s total funding to approximately $65 million since its inception in 2015.
Bhinge noted that Infinite Uptime has doubled its revenue annually for the past three years and is now operationally cash-flow positive. With the fresh capital, the startup plans to enhance product development, explore mergers and acquisitions, and further invest in AI-driven R&D.
Driving Future Innovation in Manufacturing
With a workforce of about 350 employees, Infinite Uptime is prioritizing advancements in data science and AI insights to bridge the gap between factory build capacity and actual production output. The company is focused on improving energy efficiency per unit of production to help manufacturers optimize existing resources.
“We are investing in ways to help manufacturers reduce energy consumption per ton of production while maximizing efficiency,” Bhinge emphasized.
As the manufacturing industry continues to evolve, Infinite Uptime is positioning itself at the forefront of predictive maintenance, enabling factories to transition into a more data-driven and efficient future.
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