Tridiagonal

Tridiagonal Solutions is an engineering consultancy firm established in 2006. The company was incubated at the National Chemical Laboratory in Pune, India, an origin that underscores its strong foundation in process research and development. The founding team includes Ashish Anant Kulkarni and Pravin Devendra Jain. Ashish Kulkarni holds a postgraduate degree in Fluid Mechanics and Thermal Sciences from IIT, Kanpur and previously worked at Fluent, managing product responsibilities. Pravin Jain brings over 25 years of experience in technology entrepreneurship and business development, including 14 years in the US, where he focused on sales, marketing, and strategy.

The firm provides customized engineering solutions and develops products by leveraging computational modeling. Its business model centers on offering consulting services and software solutions to a diverse clientele in the process industries, including oil and gas, pharmaceuticals, food and beverage, chemicals, metals, mining, and power. Revenue is generated through these consulting projects and the licensing of its proprietary software. Tridiagonal serves a global client base that includes Fortune 500 companies, utilizing flexible engagement models and establishing Centers of Excellence to support large customer programs.

Tridiagonal's service portfolio is extensive, covering Advanced Modeling & Simulation using techniques like Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA), technology validation and scale-up, and digital transformation for process manufacturing. The company has developed software products such as MixIT, for analyzing stirred tank mixers and reactors, and SimSight, a process intelligence platform. A key aspect of their work involves using these simulation tools to predict and enhance the performance of industrial flow processes, identify inefficiencies, and optimize resource allocation. Recently, the company launched Tridiagonal.AI, an arm dedicated to developing domain-powered Industrial AI solutions, including Plant GPT accelerators, to further enhance operational efficiency.

Keywords: process engineering, computational fluid dynamics, CFD, engineering simulation, process optimization, digital transformation, manufacturing excellence, finite element analysis, FEA, stirred tank reactors, process modeling, energy optimization, flow assurance, pharmaceutical engineering, oil and gas engineering, chemical engineering, data-driven solutions, industrial AI, technology validation, simulation software, reactor design, process scale-up, digital twin, operational excellence