AWS & Tridiagonal.AI
Tridiagonal.ai and AWS partner to help your business scale, adopt, & thrive in today's competitive process industry.
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Unlock the Future
of Industrial Operations
Tridiagonal.ai has partnered with Amazon Web Services (AWS) to transform industrial problem-solving and drive digital transformation. Leveraging Tridiagonal's deep domain expertise and AWS's robust cloud technologies, this collaboration empowers businesses to optimize operations, enhance decision-making, and achieve operational excellence.
Together, we deliver cutting-edge solutions in process optimization, advanced data analytics, and scalable cloud infrastructure to address the most complex challenges in industries such as chemicals, oil & gas, pharmaceuticals, and more.
Technology Behind the Transformation
Our solutions are built on cutting-edge Amazon technology, ensuring a robust, secure, and scalable platform for your operations.






Industries
Industry domain know - how with technology (digital) expertise.
Oil & Gas
01We provide end-to-end digital solutions for Oil and Gas and alternate energy. Our team consists of process engineers who have industry/operations experience of process optimization, maintenance and sustainability.
Areas: Advanced process analytics (predictive/ prescriptive), Advanced process control (APC), Real-time optimization (RTO), AI-based process control, Energy optimization, Digital twin, Operator training simulation (OTS), Generative AI, etc.
Life Sciences/Pharma
02We have been working with fortune 100, 500 life science and pharma companies from last 16+ years. Our core expertise includes process development and scale-up & tech transfer, manufacturing intelligence, energy optimization, etc.
Areas: Golden batch analytics, Bioreactor hybrid modeling, Batch-to-batch analysis, Predictive maintenance, product quality prediction, OEE, NLP, Gen-AI for COA.
Metals, Mining & Cement
03Our metals, mining and cement practice deals with process optimization, energy efficiency and predictive maintenance of critical units/ processes. We support customers right from setting up industry data ops/ data fabric to predictive analytics, digital twin, AI-based process control.
Areas: Smelter digital twin, Furnace optimization, Kiln optimization, Sintering plant, ID fan, Mills, OEE, etc.
Food, Beverages & CPG
04We cater to safe and sustainable operation of F&B customers using Industry 4.0 tech stacks. The major focus is on quality, production increase, waste reduction, energy efficiency, inventory reduction, operating cost reduction.
Areas: OEE, product deviation monitoring, batch cycle time, product quality prediction, Equipment run length optimization, Gen AI, etc.
Chemicals & Petrochemicals
05Our focus in chemical industry is majorly on conversion units such as distillation columns, reactors, steam optimization, etc. The end objective is to enhance operational efficiency, agility, and sustainability.
Areas: Predictive quality (soft sensors), Advanced process control for columns, Predictive maintenance of critical assets (heat exchangers / condensers, compressors, etc.)
Power & Renewables
06We have experience in deploying solutions for power generation, transportation and distribution. The focus is in improving asset reliability and prevent unplanned shutdowns. forecasting environmental conditions that impact energy production, etc.
Areas: Coal blend quality prediction, Turbines and boiler energy optimization, Predictive maintenance of ID fans, Emissions modeling, Cooling tower make-up water optimization.
Practice Leaders
Delivering Value to the Customers
Has delivered more than 50 projects globally, >50 Digital transformation workshops, and others. Has the capacity to deliver bespoke solutions over multiple platforms - Cognite, Seeq, Kelvin, Databricks, AWS, Azure, Litmus Edge, and others.
Dinesh Makked is a Principal Value Architect, leading the development and delivery of cutting-edge digital solutions for industrial customers across North America. Based in Roanoke, USA, he is focused on expanding Tridiagonal.ai’s footprint in strategic industries like Oil & Gas, Chemicals, and Forestry.
Dinesh brings over 12 years of experience in industrial AI, Cognite Data Fusion (CDF) implementations, and asset performance management. Prior to joining Tridiagonal.ai, he served as the Head of Data Engineering at Pinnacle Reliability, where he led high-impact projects involving AI-driven reliability and performance solutions.
He holds a Post Graduate degree in Computer Science and is recognized for his hands-on expertise in solving complex industrial problems through data-driven, scalable architectures.
Schedule a Call today!
Uncover how our capabilities can propel your organization forward. Provide your focus areas, and we will deliver tailored solutions designed to meet your unique objectives.