Dx. Consulting Services
Domain-Driven, Use Case-Centric and Ready for Production
Our Dx Consulting Services are built to accelerate digital transformation for industrial enterprises, bridging the gap between operational challenges and scalable AI solutions. With deep roots in engineering sciences and industrial systems, we help clients chart transformation journeys that are both technically sound and business-aligned.
Agentic AI Services
Domain-Driven, Use Case- Centric, and Ready for Production
Knowledge Graph as a Service (KGaaS) is a scalable, agent-driven platform that transforms siloed, unstructured, and structured industrial data into a semantically connected, intelligent knowledge network. Built on industry standards and ontologies, the platform enables next-gen applications in root cause analysis, process optimization, SOP automation, and decision augmentation.
Industries
Industry domain know - how with technology (digital) expertise.
Oil & Gas
We 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.
LNG
We provide advanced digital solutions for the LNG industry to improve plant reliability, energy efficiency, and operational safety across liquefaction, storage, transportation, and regasification operations. Our team combines deep process engineering expertise with AI-driven technologies to optimize LNG production and reduce operational risks. Areas: Advanced process analytics (predictive/prescriptive), LNG process optimization, Boil-off gas (BOG) management, Real-time optimization (RTO), AI-based monitoring, Compressor & turbine performance optimization, Energy management, Digital twin, Predictive maintenance, Operator training simulator (OTS), Emissions monitoring, Generative AI, etc.
Refinery
We provide end-to-end digital transformation solutions for refinery operations, helping improve throughput, energy efficiency, asset reliability, and process safety. Our experts bring extensive refinery domain knowledge combined with advanced AI and automation technologies to drive operational excellence and sustainability. Areas: Advanced process control (APC), Real-time optimization (RTO), Crude unit optimization, Energy optimization, Yield improvement, AI-based process monitoring, Predictive maintenance, Asset performance management (APM), Digital twin, Flare & emissions optimization, Operator training simulator (OTS), Process safety analytics, Generative AI, etc.
Life Sciences / Pharma
We 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
Our 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
We 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
Our 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
We 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.
Praveen Kapse, Co-Founder & COO—Global Strategy and Technology. He is leading the Manufacturing Excellence and Digital Transformation group as well. He has more than 25 years of experience working in the technology domain across different industry verticals. His core competence involves conceiving strategies for successfully introducing new technologies and solutions, such as Industry 4.0 in the process manufacturing space. With a strong techno-commercial background, he has been implementing large digital transformation programs for various companies across the globe.
He leads a business unit of 100 engineering professionals, delivering state-of-the-art engineering services to global process industries through technology partners such as Honeywell, Emerson, Aveva, and Yokogawa. Sandeep has been instrumental in developing a collaborative engineering services ecosystem to support the digital transformation journey of process industry clients.
Has delivered more than 50 projects globally, >50 Digital transformation workshops, and others. Has the capacity of delivering bespoke solutions over multiple platforms - Cognite, Seeq, Kelvin, Databricks, AWS, Azure, Litmus Edge, and others.
Dinesh Makked is a Principal Value Architect at Tridiagonal AI, 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 postgraduate degree in Computer Science and is recognized for his hands-on expertise in solving complex industrial problems through data-driven, scalable architectures.
