Codon Consulting | AI Solutions for Process Industries

AI Solutions for the Process Industries

We help process industry leaders implement AI strategies that drive measurable ROI, optimize production, and enhance safety and sustainability across operational workflows.

About us

Predictive Maintenance

Prevent failures before they happen to improve uptime and reduce maintenance costs.

• Equipment failure prediction
• Condition monitoring
• AI-powered maintenance scheduling
• Root cause diagnostics

Process Optimization

Use AI to optimize control systems and maximize throughput without compromising quality.

• Real-time process modeling
• Dynamic setpoint optimization
• Energy efficiency improvements
• Anomaly detection

Quality and Yield Enhancement

Improve product quality and consistency with AI-enabled analytics and automation.

• Intelligent quality control
• Multivariate process analysis
• In-line defect detection
• Yield forecasting

Why AI Is Critical for Process Industries

From fluctuating market demands to complex industrial systems, process industries face constant pressure to do more with less. AI enables data-driven decisions, adaptive control, and predictive insights — helping companies reduce waste, improve safety, and stay competitive.
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But success requires deep domain knowledge and advanced AI capabilities — Codon’s consulting bridges that gap to deliver impactful outcomes.

Start Your AI Journey

89%

of industrial manufacturers are investing in AI for process optimization.
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— Source: McKinsey, 2023

30%

average reduction in unplanned downtime using predictive maintenance with AI.
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— Source: Deloitte Insights, 2022

25%

improvement in production efficiency through AI-driven process control.
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— Source: PwC Industry 4.0 Report

faster root cause identification with machine learning analytics.
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— Source: MIT Sloan Management Review, 2023

The Advantages of Our Approach

Deep Industrial Expertise

Our team brings decades of experience in process engineering, automation, and control systems — ensuring AI fits real-world operational needs.

End-to-End Implementation

From opportunity assessment to deployment and change management, we guide you through every step of the AI journey.

Proven AI Techniques

We use state-of-the-art machine learning and optimization methods tailored to continuous and batch process environments.

Focus on Business Impact

We align every AI project with measurable KPIs to deliver clear value — whether it’s increased yield, lower energy use, or reduced downtime.

Case Studies

Dive into some of our relevant client cases.

All Projects

Monitoring Mutational Development During a Pandemic

We built an AI-driven dashboard during COVID-19 to track virus mutations, giving stakeholders direct, real-time access to critical insights without needing biostatistical support.

Neoantigen Discovery Pipeline for Oncology

We developed an AI solution to identify and prioritize cancer neoantigens, fully integrating with lab workflows and ensuring GDPR and GAMP 5 compliance.

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Frequently asked questions.

Our guide to Frequently Asked Questions. Explore answers to common queries and inform your decision-making for a seamless collaboration.

Let's Talk

How can AI help my specific industry and business operations?

AI can optimize processes, reduce costs, and enhance customer experiences. Applications vary by industry—e.g., personalized recommendations in retail, predictive maintenance in manufacturing, and AI-driven analytics in finance.

What is your process for identifying AI opportunities and implementing solutions?

We start with an AI readiness assessment, followed by identifying high-impact use cases. Then, we develop a proof of concept, refine the solution, and scale it with ongoing support.

What kind of AI technologies do you specialize in, and which would be most relevant for my business?

We work with machine learning, NLP, computer vision, and automation. The best fit depends on your business needs—e.g., chatbots for customer service, predictive analytics for decision-making, or AI-driven process automation.

What are the typical costs, timelines, and ROI expectations for an AI project?

Costs vary by project complexity. Timelines range from weeks (for small pilots) to months (for full deployment). ROI depends on the use case but often includes cost savings, efficiency gains, or revenue growth.

How do you ensure AI solutions are scalable, secure, and compliant with regulations?

We follow best practices in AI ethics, data privacy (GDPR, HIPAA, etc.), and cybersecurity. Our solutions are designed to scale with your business needs while maintaining compliance and security.

What are the first steps if we want to explore AI for our business?

Start with a consultation where we assess your challenges and AI readiness. From there, we define a strategy, run a pilot project, and gradually scale AI adoption.

What level of AI expertise do we need in-house to work with you?

None! We handle the technical side while guiding your team through adoption. We can also provide training and support to ensure smooth integration and usability.

Smarter Process Industries with AI