Aleph Technologies

Aleph Technologies is a Singapore-based enterprise software company focused on industrial process optimization through artificial intelligence and digital twin technology. The company was established in 2023, spinning out from the National University of Singapore's (NUS) Graduate Research Innovation Programme (GRIP). In January 2025, Aleph Technologies announced it had secured USD 750,000 in a seed funding round. The round was led by Cocoon Capital, a Singapore-based venture capital firm, with participation from U.S.-based Graiden Gorge Investments.

The founding team combines deep technical expertise with business development experience. Suwira Teo, the CEO and Co-founder, previously worked in consulting and business development at PricewaterhouseCoopers (PwC), Circles.Life, and Shopee, and also has experience in his family's textile manufacturing business. Dr. Sushant Garud, the CTO and Co-founder, holds a PhD in Chemical Engineering from NUS, conducted research at Cambridge CARES, and has over a decade of experience in industrial digitalization and machine learning with companies like AspenTech and Yokogawa. The third co-founder, Dr. Iftekhar Karimi, is a distinguished professor in chemical and biomolecular engineering with over 30 years of consulting experience with major international chemical and logistics firms. The founders were motivated by the observation that many industrial plants operate significantly below their potential due to outdated and ineffective optimization tools.

The company's core product is the Aleph AI Co-Pilot™, a software-as-a-service platform designed for process engineers and operators in energy-intensive industries. It addresses the market for industrial digitalization, which is forecast to grow substantially. The AI Co-Pilot™ creates an intelligent digital twin—a virtual replica—of a plant's physical systems to simulate, diagnose, and optimize operations in real-time. This enables clients to identify performance inconsistencies, predict and prevent process variability, and receive precise recommendations for corrective actions. The platform serves clients in the chemical, pharmaceutical, oleochemical, and metals processing sectors. Early deployments in Singapore and India have demonstrated significant improvements, with clients reporting up to a 40% increase in energy efficiency, yield, and product quality, and annual savings exceeding USD 1.2 million. Revenue is generated by providing these AI-driven optimization solutions that help clients reduce energy costs, minimize waste, and improve throughput.

Keywords: industrial process optimization, AI Co-Pilot, digital twin technology, manufacturing efficiency, chemical manufacturing, pharmaceutical manufacturing, process engineering, sustainable manufacturing, machine learning, operational excellence, energy efficiency, yield optimization, asset utilization, predictive diagnostics, process simulation, oleochemical plants, specialty chemicals, advanced manufacturing, CleanTech, enterprise software