Latest news with #RaunakBhinge
The Wire
08-07-2025
- Business
- The Wire
Crafting Bharat – S2, powered by AWS Startups and an initiative by NewsReach, launches ninth episode with Dr. Raunak Bhinge, MD of Infinite Uptime
Dr. Raunak Bhinge of Infinite Uptime, on Industry 4.0 technologies, digital-first approach and how AWS is helping them scale and optimize Production Reliability outcomes. Artificial Intelligence offers India a unique opportunity to revolutionize its manufacturing sector, positioning it as a cutting-edge factory and service center for the global economy. By harnessing AI-driven automation, predictive analytics, and digital innovation, India can boost productivity, quality, and competitiveness across industries from automotive to pharmaceuticals. This promises sustainable growth and solidifies India's leadership. AI adoption is vital to the Viksit Bharat vision, driving India's evolution into a developed nation by 2047. The ' Crafting Bharat – Season 2' powered by AWS Startups, an initiative by NewsReach, in association with VCCircle, and production partner – HT Smartcast, explores how startups are harnessing the power of the cloud to accelerate growth, optimise operations, and building solutions that will define the India of Tomorrow. This series is hosted by Gautam Srinivasan, famed for hosting a diverse range of TV and digital programs, currently consulting editor at CNBC (India), CNN-News18, Forbes India, and The Economic Times. In this episode, we spotlight Dr. Raunak Bhinge, MD of Infinite Uptime, who are innovating to deliver production outcomes so that Indian companies can truly embrace the fourth industrial revolution. He shares insights about Industry 4.0 technologies, their digital-first approach and how AWS is helping them scale and optimize their value preposition. In this series, explore inspiring startup stories that are shifting gears and sparking innovation across sectors, all contributing to India's transformation into a developed nation by 2047 in this captivating series. Watch Episode: Edited Excerpts: Segment 1: Ignite What's a big client win that you fondly remember in terms of outcomes delivered? Startups often struggle at the outset. We were championing a forward-looking concept before the digital revolution fully arrived—educating clients on what's possible and the industry's trajectory over the next five to ten years. One standout early engagement was with JSW Steel's Vijayanagar plant in Karnataka, four hours by road from the nearest city. At COVID's outset, their visionary digital leader teamed up with us—and on August 14th at midnight, we were installing IoT sensors on critical equipment to demonstrate this innovation to Mr. Jindal during the August 15th celebrations. How did your product roadmap evolve to address customer challenges around connecting isolated data sources and scalability limitations by creating a plug-and-play solution to integrate modern analytics into their existing infrastructure? Initially, we tried integrating with legacy manufacturing systems for richer context, but found data siloed, fragmented, and non-interoperable. So, we designed an independent product roadmap that maximizes diagnostic insights and predictive accuracy without altering control systems, forming the backbone of our complete product stack. Many companies struggle with the upfront cost. How did you approach this issue when talking to potential clients? There are 2 things to this – ROI and how do you get them to start consuming – which brings into the business model. We decided to eliminate them having to put a lot of money upfront in advance on the table. You don't need to have Capex model, instead have an Opex model which is consumption based. We use a 'show-and-grow' model: clients pay monthly only once they see value. As returns and benefits emerge, they scale usage. This consumption-based approach lets you start small and then scale, creating mutual gains. Segment 2: Launch In serving such a diverse array of customers with vast amounts of data to be processed, how has Infinite Uptime managed its own tech back-end to scale with higher and more varied demands of customers? We've developed a scalable approach—both technologically and organizationally—without needing industry-specific teams. Since most equipment is used across multiple sectors, we apply a common, replicable stack to predict faults. Only niche assets require custom AI models. For those few industry-specific machines, we build separate models, while all standard equipment diagnostics run on our universal platform. This lets us efficiently serve diverse industries with minimal per-segment adjustments. Sub-segment: Boost Take us through the highlights of how AWS enables Infinite Uptime to optimise its value proposition? We outgrew our previous cloud provider and, after evaluating architecture, capabilities, support, and costs, consciously migrated to AWS. Since then, AWS's built-in scalability, optimization tools, and dedicated support have enabled us to refine our architecture and scale globally. We're partnering with AWS to extend our reach and ensure our solution can support and grow with organizations worldwide. Segment 3: Orbit What are the lessons in smart manufacturing that India can learn from the world and vice-versa? India is rapidly embracing smart manufacturing and digital transformation—a promising shift. I witnessed China adopt similar practices back in 2017–18, even before terms like 'digital factories' were popular. India's edge lies in frugal innovation—delivering high-impact, ROI-driven solutions that global industries can adopt cost-effectively, unlike complex, high-cost models in the West. What is your view on drivers for upskilling and reskilling in frontier technologies that are changing the manufacturing landscape in India as we speak? AI is transforming manufacturing by enabling data-driven decisions on the shop floor, replacing intuition with real-time insights and helping teams upskill, ultimately driving efficiency and value across the industry. By aligning sectoral growth with sustainability and inclusivity, India is well-positioned to achieve a $23–$35 trillion economy by 2047. This transformation can enhance quality of life, strengthen global influence, and position India as a leader in economic progress, technological innovation, and social development on the world stage. Stay tuned to Crafting Bharat – Season 2 as we bring you these inspiring entrepreneurs for insightful and candid discussion with Gautam Srinivasan. Facebook: Instagram: LinkedIn: X: This is an auto-published feed from PTI with no editorial input from The Wire.
Business Standard
08-07-2025
- Business
- Business Standard
Crafting Bharat - S2, powered by AWS Startups and an initiative by NewsReach, launches ninth episode with Dr. Raunak Bhinge, MD of Infinite Uptime
VMPL New Delhi [India], July 8: Artificial Intelligence offers India a unique opportunity to revolutionize its manufacturing sector, positioning it as a cutting-edge factory and service center for the global economy. By harnessing AI-driven automation, predictive analytics, and digital innovation, India can boost productivity, quality, and competitiveness across industries from automotive to pharmaceuticals. This promises sustainable growth and solidifies India's leadership. AI adoption is vital to the Viksit Bharat vision, driving India's evolution into a developed nation by 2047. The "Crafting Bharat - Season 2" powered by AWS Startups, an initiative by NewsReach, in association with VCCircle, and production partner - HT Smartcast, explores how startups are harnessing the power of the cloud to accelerate growth, optimise operations, and building solutions that will define the India of Tomorrow. This series is hosted by Gautam Srinivasan, famed for hosting a diverse range of TV and digital programs, currently consulting editor at CNBC (India), CNN-News18, Forbes India, and The Economic Times. In this episode, we spotlight Dr. Raunak Bhinge, MD of Infinite Uptime, who are innovating to deliver production outcomes so that Indian companies can truly embrace the fourth industrial revolution. He shares insights about Industry 4.0 technologies, their digital-first approach and how AWS is helping them scale and optimize their value preposition. In this series, explore inspiring startup stories that are shifting gears and sparking innovation across sectors, all contributing to India's transformation into a developed nation by 2047 in this captivating series. Edited Excerpts: Segment 1: Ignite What's a big client win that you fondly remember in terms of outcomes delivered? Startups often struggle at the outset. We were championing a forward-looking concept before the digital revolution fully arrived--educating clients on what's possible and the industry's trajectory over the next five to ten years. One standout early engagement was with JSW Steel's Vijayanagar plant in Karnataka, four hours by road from the nearest city. At COVID's outset, their visionary digital leader teamed up with us--and on August 14th at midnight, we were installing IoT sensors on critical equipment to demonstrate this innovation to Mr. Jindal during the August 15th celebrations. How did your product roadmap evolve to address customer challenges around connecting isolated data sources and scalability limitations by creating a plug-and-play solution to integrate modern analytics into their existing infrastructure? Initially, we tried integrating with legacy manufacturing systems for richer context, but found data siloed, fragmented, and non-interoperable. So, we designed an independent product roadmap that maximizes diagnostic insights and predictive accuracy without altering control systems, forming the backbone of our complete product stack. Many companies struggle with the upfront cost. How did you approach this issue when talking to potential clients? There are 2 things to this - ROI and how do you get them to start consuming - which brings into the business model. We decided to eliminate them having to put a lot of money upfront in advance on the table. You don't need to have Capex model, instead have an Opex model which is consumption based. We use a "show-and-grow" model: clients pay monthly only once they see value. As returns and benefits emerge, they scale usage. This consumption-based approach lets you start small and then scale, creating mutual gains. Segment 2: Launch In serving such a diverse array of customers with vast amounts of data to be processed, how has Infinite Uptime managed its own tech back-end to scale with higher and more varied demands of customers? We've developed a scalable approach--both technologically and organizationally--without needing industry-specific teams. Since most equipment is used across multiple sectors, we apply a common, replicable stack to predict faults. Only niche assets require custom AI models. For those few industry-specific machines, we build separate models, while all standard equipment diagnostics run on our universal platform. This lets us efficiently serve diverse industries with minimal per-segment adjustments. Sub-segment: Boost Take us through the highlights of how AWS enables Infinite Uptime to optimise its value proposition? We outgrew our previous cloud provider and, after evaluating architecture, capabilities, support, and costs, consciously migrated to AWS. Since then, AWS's built-in scalability, optimization tools, and dedicated support have enabled us to refine our architecture and scale globally. We're partnering with AWS to extend our reach and ensure our solution can support and grow with organizations worldwide. Segment 3: Orbit What are the lessons in smart manufacturing that India can learn from the world and vice-versa? India is rapidly embracing smart manufacturing and digital transformation--a promising shift. I witnessed China adopt similar practices back in 2017-18, even before terms like "digital factories" were popular. India's edge lies in frugal innovation--delivering high-impact, ROI-driven solutions that global industries can adopt cost-effectively, unlike complex, high-cost models in the West. What is your view on drivers for upskilling and reskilling in frontier technologies that are changing the manufacturing landscape in India as we speak? AI is transforming manufacturing by enabling data-driven decisions on the shop floor, replacing intuition with real-time insights and helping teams upskill, ultimately driving efficiency and value across the industry. By aligning sectoral growth with sustainability and inclusivity, India is well-positioned to achieve a $23-$35 trillion economy by 2047. This transformation can enhance quality of life, strengthen global influence, and position India as a leader in economic progress, technological innovation, and social development on the world stage. Stay tuned to Crafting Bharat - Season 2 as we bring you these inspiring entrepreneurs for insightful and candid discussion with Gautam Srinivasan.
Yahoo
11-03-2025
- Business
- Yahoo
Infinite Uptime bags $35M to help factories optimize equipment usage
Infinite Uptime, an Indian startup that offers predictive maintenance solutions for factories, has raised $35 million in a Series C funding round to expand its footprint in the U.S. and other markets. The manufacturing industry has lagged many industries in its adoption of tech, and much of the world's heavy industry still depends on machines, many of which are aging and consume lots of energy. That said, modern tech is slowly but surely making its way into factories, particularly for maintenance and repairs — the space Infinite Uptime is targeting. The company says it provides predictive maintenance and repair recommendations using proprietary sensors, software analytics, and AI-based diagnostics. It also has a smart dashboard that provides live monitoring capabilities. "We give manufacturers pinpointed recommendations and intervention points, exactly what needs to be done in the plant, what parameters need to be looked at, which asset needs to be corrected," Infinite Uptime's founder Raunak Bhinge told TechCrunch. The startup says its piezoelectric sensors can offer diagnostics in high temperatures as well as complex acidic environments such as phosphoric acid, nitric acid and sulphuric acid plants. It has secured about five patents in this space, Bhinge said. To be clear, this isn't an entirely new opportunity in the market — large manufacturers like Rockwell, Siemens, and Honeywell have enabled factories with AI-based automation for some time. Similarly, some startups like Augury help factories detect problems with their machines using sensors and AI. But Bhinge feels Infinite Uptime is "fairly unique in terms of the tech stack," explaining that the startup's approach is not top-down, like its larger competitors which use programmable logic controllers (PLC) or programmable limit switches (PLS). He argued that even the battery-based microelectromechanical systems (MEMS) that some startups offer have limited use cases and effectively do not work for high-temperature applications. Infinite Uptime targets manufacturers in the steel, cement, metals, mining, fertilizers, chemicals, and paper industries. It also partners with OEMs to plug its AI layer into their new products. Cumulatively, Infinite Uptime says its solutions have helped customers see downtime savings of 74,274 hours as well as 5% to 10% improvement in productivity, energy efficiency, safety, and compliance. The startup currently serves 800 plants in nearly 30 countries, and with the new funding, it aims to expand its presence in the U.S further. The Series C was led by Avataar Ventures, and saw participation from StepStone Group and LGVP, along with existing investors Tiger Global and GSR Ventures. The round brings the company's total capital raised to about $65 million since its inception in 2015, per Crunchbase. Bhinge said the startup's revenue has increased by 2 times every year for the past three years, and it is operationally cash-flow positive. The company is looking to put the fresh cash towards product development, and intends to evaluate M&A opportunities to scale further. Infinite Uptime, which has about 350 employees, also plans to invest more in R&D and data science to enhance its AI insights and "further close the gap between build capacity and actual production and also improve production efficiency," Bhinge said. "We're investing in how we can help manufacturers [...] use less energy per ton of production from their existing build capacity," he said. Sign in to access your portfolio
