Quartics

About Quartics

Quartic.ai, established in 2017, provides an artificial intelligence-driven platform tailored for the manufacturing sector. The company was founded by a group of industry veterans, including Rajiv Anand (CEO), Pranav Prakash, Xiaozhou Wang, Akshaya Aron, and Ashish Bharadwaj, who brought together their collective experience as manufacturing engineers, reliability experts, and data scientists. Their shared background in facing the complexities of batch manufacturing directly shaped the company's purpose-built solutions.

The firm's core business revolves around its Quartic Platform, an end-to-end operations intelligence solution that helps manufacturers improve processes. It operates in a market focused on Industry 4.0 technologies, serving clients in highly regulated, data-intensive industries such as life sciences, specialty chemicals, food and beverage, and consumer packaged goods. Quartic's business model is centered on providing its integrated platform which enables companies to transition from legacy operational technology systems to AI-powered intelligent manufacturing. This allows clients to enhance existing systems without major disruptions, combining data integration, contextualization, and machine learning to deploy smart manufacturing applications.

The Quartic Platform unifies data from the edge to the enterprise, offering solutions for real-time insights and scalable applications. Its key features include Quartic DataOps for contextualizing data, Quartic Intelligence for applying machine learning and optimization algorithms, and Quartic Applications for deploying solutions that accelerate ROI. The platform is designed to be used by on-site subject matter experts, not just data scientists, empowering them to build and deploy AI applications with little need for extensive training. By harmonizing data from various sources (like IIoT, MES, and ERP systems), the platform enables predictive quality control, automated process verification, and optimization of production cycles, leading to tangible outcomes such as reduced yield variability and faster batch releases.