What we do

Our strength lies in the fusion of deep consulting experience, process domain expertise, and digital execution excellence. This rare combination enables us to go beyond traditional digital transformation, we build AI agents that not only analyze but act. As a Digital Transformation Execution Partner (Dx-Ex Partner), we help process industries convert complex data and siloed digital initiatives into autonomous, real-time decision-making systems.

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.

Digital Transformation Consulting – Process Manufacturing

Tridiagonal.AI is a trusted partner for successful manufacturing excellence, digital transformation strategy and implementation of digital / Industry 4.0 tech stacks in process manufacturing. Our process domain understanding, technology expertise and hands-on implementation experience enables us to take deeper view to devise sustainable Dx strategy and roadmap.

Core Expertise: Digital transformation for Production / Process Optimization, Energy Optimization, Quality Prediction,Predictive maintenance and Safety & Sustainability.

Reframing IT-OT Infrastructure

Understanding the scope (requirement): Current V/S Expected performance (IT-OT)
Whether or not the current infrastructure is I-4.0 ready
How the current data architecture looks like; Sensors, DCS/SCADA, etc.
Additional sensor Implementation for I 4.0 use cases
Whether the entity of Data Infra is OPC compliant/evaluating the communication protocols supported
Identification of IT-OT Data requirement Tech Stack
Designing ISA 95 compliant IT-OT architecture

Domains: MES, Historians, Industry Data Ops, IT-OT integration, Cloud infrastructure, Unified namespace architecture (UNS), ISA 95, Asset hierarchy

Dx Tech Stacks: IT-OT assessment, Advanced process control / AI-based Process control, Predictive Analytics, Energy Management (Scope 1 & 2), Digital workforce

Industry Data Ops is our specialized approach to managing and mobilizing industrial data across engineering, operations, and enterprise systems. Our focus is on enabling trusted, contextualized, and real-time data that powers AI-driven decision-making at scale.

Benchmarking few key performance metrics and Zone to Win- To define Vision, Mission, Goals, Digital Culture, Talent & Skills, Technology Leadership, etc.

Identifying the pain areas in Process manufacturing
Blueprinting Dx - Defining the Process Problem Statements – production/ process optimization, Maintenance, Quality, Safety, Sustainability
Creation of business Case for operational benefits

Operations Areas: Manufacturing planning & schedule, Quality, Overall yield, Zero defects, Energy optimization, OEE, etc.

Benefit Analysis and ROI

Financial Analysis - Projected Savings, Benefits report, ROI assessment

Creating the financial savings report-projected savings per asset/process
Business case(s) for various tech stack implementations for each identified areas (Process optimization, Maintenance, Quality, Safety, Sustainability)
Assessment of the required budget
Estimated savings in the CAPEX, OPEX
Dx investment planning for 5 years with IRR / NPV / Payback period calculations

For e.g. ROI, Pay-back period, Investment planning, Capex-Opex budget allocation

Dx Implementation Roadmap:

Develop Priority Matrix depending on the Digital Maturity Assessment, Availability of Assets, Process, People

Prioritizing the Business problems based on the savings, requirements and challenges
Identification of Dx Tech Stack(s) for implementation
Implementation plan and risk mitigation strategy
Change management
Industry 4.0 training needs identification
Cultural transformation roadmap

For e.g. Prioritisation matrix, Dx roadmap, Cultural transformation, Training

Project Management Consulting (PMC):

PMC for Implementation of Solution(s) – Continuous efforts for e.g., IT-OT integration, Sensor Placements, APC, APM, OTS, Digital Workforce, Others

Develop Scalability Framework
Implementation roll-out plan across different locations
Continuous Improvement - Gap Analysis and Scope of Improvement – KPIs, New / Advanced Use Cases
Evaluation of Usage of the solution implements
Post implementation benefit analysis/ ROI calculations
Identification of gaps in solutions that are implemented and rectification plan
Identification of Training needs
New Use Cases definition, New modeling framework, Advanced Analytics, etc.

PMC: Ensuring successful Dx implementation and post-implementation ROI’s

Advanced Data Analytics

Tridiagonal Solutions bespoke solutions tailored to support the industry requirements leveraging the advanced capabilities such as digital twin, custom applications and connected analytics. Enhancing the analytics and visualization for the plant engineers and operators with improved decision making. These solutions are backed by our industry experts which helps the organizations to enable agile development at scale and better adoption through these utilities. Enhancing the current data science practise with 3D models with enhanced contextualization to enabling causalities through connected analytics using sequential modeling approach empowers the shop floor team to gain better insights from their data.

Core Expertise: Time series analytics, predictive analytics, digital twin, metadata modeling, connected analytics, smart Apps for Energy and process optimization

Dx Tech Stacks:AWS IOT Twinmaker, Azure Digital Twin, Cognite, VidyaTec, Seeq, Smart Applications

Digital Twin

Advanced 3D models-based visualization for the telemetry data modeling
Integrated data management – Timeseries, SAP, MES, ERP, AIMS, and others engineering information
Analyze the complete history of the processes and equipment
Knowledge graphs for better information management through metadata modeling

Techstacks:

Knowledge graphs
Master data management
Cognite, AWS, Azure, VidyaTec

Connected analytics

- Improve the decision making through equipment level correlations and causalities
- Mimic the plant conditions by connecting all the upstream and downstream equipment
- Enhance the process and equipment reliabilities through sequential models

Smart Apps

Open source based tailored frameworks focused to provide the custom insights for point problems
Applications focused to accelerate the scalability and adoption
Built to deliver high value through physics based modeling for real time constraint modeling and optimization

Techstacks:

Python, scipy, Tensorflow, pytorch
Supervised and unsupervised based learning
Fisrt principles based mechanistic modeling

Deep Learning

Solutions leveraging neural networks for image processing and video analytics solving complex industrial problems
Leveraging artificial neural networks for fault detection through complex learning patterns
Digitization of offline scanned manufacturing records through OCR
Analyzing complex microstructures and visual quality inspection

Techstacks:

Deep learning frameworks – Tensorflow, Pytorch - CNNs, RNNs, GAN
Generative model, transformers - GPT-4 and others

Use Cases

Improving the decision making through connected analytics for CDU operations
Digital twin for complex refinery and petrochemical units
Plant wide optimization
Smart Apps for process/energy/utilities optimization for manufacturing companies
- Compressors
- Exchangers
- Steam optimization
- Energy management
- Steam and condensate balance
Image analytics for safety measures
Complex material microstructure pattern prediction
Prediction of external cracks for metal casts

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.

Learn More

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.

Learn More

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.

Learn More

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.

Learn More

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.

Learn More

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.)

Learn More

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.

Learn More