Nukon has been named the Innovation and AI Excellence award winner for the EMEAPAC region at the Seeq Partner Awards, announced at the Seeq Partner Symposium in Amsterdam, Netherlands.
The Innovation and AI Excellence award recognises partners who develop innovative Seeq solutions, AI applications, integrations, or services that create differentiated customer outcomes.
Pictured, left to right: Lisa Graham, Chief Executive Officer - Seeq; Edith Sweep, Director of IT, Processes, and Information Management - Tetra Tech Netherlands; Reinoud van Oosten, Managing Director - Tetra Tech Netherlands (accepting on behalf of Nukon); Michael McGrath, APAC Partner Executive - Seeq; George Skaryak, Chief Revenue Officer - Seeq; Vikram Prakasam, Vice President, Partnerships and Alliances - Seeq; Ronnie Bains, Vice President, EMEA & APAC - Seeq.
The award is an acknowledgement of Nukon’s growing role in helping industry turn advanced analytics and AI from promising ideas into practical, scalable operational outcomes.
“This recognition reflects more than technical delivery. It reflects the way Nukon works with customers to identify where analytics and AI can create measurable value, prove that value in real operational environments, and then scale those solutions safely into Production,” said Andrew May, Advanced Analytics Practice Lead at Nukon.
“For critical infrastructure and industrial operators, innovation must be commercially sound, secure, governed and reliable. Our role is to help customers move forward with confidence; to look beyond the hype and create substantiated improvement.”
Nukon has been working with clients across resources, oil and gas, water, energy and utilities to realise proven value from data and analytics at scale. This work involves developing scalable solutions for critical infrastructure and finding innovative ways to generate real-time insights. Those solutions must also be commercially viable, secure, governed, and operationally robust.
In highly regulated industries, innovation requires more than technology. Organisations need confidence that new analytics and AI solutions can be tested responsibly, integrated securely and scaled without compromising reliability, compliance or trust.
Nukon’s engagement model is designed to support that transition while supporting innovation. Working with customers and partners such as Seeq, Nukon helps identify high-value operational use cases, validate them through structured proof-of-value programs, and establish a pathway to production deployment. This gives customers a practical way to explore advanced analytics and AI while maintaining focus on return on investment, operational risk and long-term scalability.
This approach reduces the barriers that often prevent industrial AI projects from progressing beyond the idea or pilot stage. It connects Nukon’s deep industrial expertise with new thinking from SAGE’s Innovation Hub and strategic technology partnerships. It creates commercial and operational pathways for customers to move from experimentation to a measurable impact in complex industrial and high-compliance environments.
“We’re excited to continue working with Seeq and our customers to accelerate the adoption of frontier technologies, support meaningful proof-of-value programs, and help industry move from AI ambition to measurable operational impact,” said Andrew.
The Innovation and AI Excellence award adds to Nukon's Seeq track record. Nukon was named Seeq's Asia-Pacific Partner of the Year in 2020, 2021 and 2022, and remains Seeq's longest-running partner in the Asia-Pacific region.
Nukon has implemented Seeq solutions for customers across food and beverage, mining, metals and materials, utilities, oil and gas, renewables and specialty manufacturing. This has seen the deployment of predictive analytics for sewer blockage detection, crusher wear prediction, enterprise time-series analytics in mining, process analytics and event triage in oil and gas, demonstrating how advanced analytics can support earlier intervention, improved asset performance, process optimisation and operational decision-making.