• Constems AI Systems

  Participated · Series A · Mar 2026

  Founded in 2017, Noida-based Constems AI Systems delivers enterprise-grade vision intelligence that turns retail shelf images and supply-chain video feeds into real-time predictive analytics. Its patented object-detection model and edge architecture draw on more than 30 million curated image data points and 30,000 consumer-product formats to identify products, measure compliance, and optimize sales and inventory. The platform helps Fortune 500 CPG brands boost shelf intelligence, monitor merchandising standards, and improve supply-chain efficiency. Constems claims 2–3× year-on-year growth as enterprise adoption accelerates. Future plans include expanding deployments across Southeast Asia, Japan, and the Middle East, deepening AI model development, and strengthening its global enterprise sales engine. The new capital will also go toward enhancing product and data infrastructure to support international scale.

• LogicLadder

  Participated · Series A · Jun 2024

  LogicLadder is a climate-tech SaaS company founded in 2011 whose flagship product is “The Sustainability Cloud.” The platform is used to generate sustainability reports, manage environmental issues, and account for Scope 1, 2, and 3 carbon emissions. LogicLadder says the software adheres to global standards including the GHG Protocol, SBTi, GRI, CDP, CSRD, SASB, BRSR, CBAM, and GRESB. It also offers TSC Water, TSC Energy, and TSC Enviro modules to help organizations manage water, waste, and efficiency-led decarbonization. The company works with over 1,000 customers and 40 channel partners, including NTPC, BHEL, PVR-INOX, and Mother Dairy. LogicLadder recently raised $2.5 million in a Series A and plans to use the proceeds to expand its presence in North America and South Asia.

• Infinite Uptime

  Participated · Series B · Dec 2020

  Infinite Uptime offers predictive maintenance and repair recommendations through a stack of proprietary piezoelectric sensors, software analytics, and AI diagnostics, plus a smart dashboard for live monitoring and downtime forecasting. Its sensors are designed for high-temperature and acidic environments, and the company has secured about five patents. Infinite Uptime targets heavy industries including steel, cement, metals, mining, fertilizers, chemicals, and paper, and partners with OEMs to integrate its AI layer into new products. The startup says its solutions have delivered 74,274 hours of downtime savings and 5–10% improvements in productivity, energy efficiency, safety, and compliance. It currently serves 800 plants across nearly 30 countries and employs about 350 people. Financially, revenue has doubled year-over-year for the past three years and the business is operationally cash-flow positive. With the new funding, the company plans to expand further in the U.S., invest in product development, R&D and data science, and evaluate M&A to scale. Infinite Uptime provides a digital intelligence platform that leverages state-of-the-art sensor technology, advanced analytics, and machine-learning algorithms to monitor vital mechanical equipment and anticipate failures. Its Predictive Maintenance (PdM) platform bundles Diagnostics as a Service (DaaS), which monitors equipment 24/7 and flags faults, with a Digital Reliability Service (DRS) that prescribes interventions and delivers downtime savings. The platform uses frequency analysis of vibration data from integrated sensors as a physics-based foundation for AI-driven decision making. The company intends to use the recent investment to accelerate adoption of its platform across various industrial sectors. Infinite Uptime positions its offerings as part of an Industry 5.0 transformation to improve manufacturing efficiency, optimize resources, mitigate risk, and reduce waste. It serves a wide range of global manufacturing industries including cement, steel, metals & mining, FMCG, chemicals, oil & gas, power, pharma, tire, automotive, construction, and pipes. Infinite Uptime builds industrial IoT and predictive maintenance solutions for manufacturing equipment, using industrial data analytics to deliver real-time condition monitoring and cloud-backed data storage. Its platform includes a smart dashboard for live monitoring, forecasting Remaining Useful Life (RUL) and downtime, plus remote condition monitoring, data-driven diagnostics and digital reliability services. The company leverages advanced analytics and AI to enable failure predictability and has helped customers save over 11,000 hours of unplanned downtime. Infinite Uptime serves more than 300 customers, including Vedanta, JSW Steel, Hyundai, Borosil, Ceat and Adani. The startup plans to invest in fundamental research and product development and expand capabilities to strengthen global market share and value delivery. It operates from offices in Pune, India, with additional offices in Berkeley, California and Dubai. Infinite Uptime provides predictive maintenance and condition-based monitoring solutions for process and manufacturing companies, specializing in high-frequency data analytics to diagnose faults and recommend remote corrections. The company uses a unique edge computing technique and has developed over 80,000 asset libraries to enable early anomaly detection on the edge, along with advanced AI/ML capabilities on the cloud and configurable edge diagnostics for real-time actionable insights. Its platform has monitored over 75 million machine hours and delivered more than 10,000 actionable insights, and the company serves over 200 customers including Daikin, Crompton Greaves, Siemens, THK, TVS Motors and Tata Steel. Infinite Uptime has offices in Berkeley, California and Pune and will use the new funding to deepen its presence in Asia and scale operations in the Middle East, the US and Europe. Leadership says the capital will strengthen customer relationships, ensure availability of cost-effective diagnostics services to reduce equipment downtime and bearing consumption, and make the technology available at scale. The company also plans to invest heavily in research and development to further enhance its diagnostic solution.

No current team members are available.