Companies

Interview with James Atkins: Synthetiko founder on AI’s role in MarTech

As CEO of Synthetiko, James Atkins combines a background in enterprise technology architecture with a forward-looking approach to AI-driven marketing. Prior to launching Synthetiko, James led AI and technology at Pierian, where he spent over four years building advanced systems and leading cross-fun…

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Headline

As CEO of Synthetiko, James Atkins combines a background in enterprise technology architecture with a forward-looking approach to AI-driven marketing. Prior to launching Synthetiko, James led AI and technology at Pierian, where he spent over four years building advanced systems…

Context

As CEO of Synthetiko , James Atkins combines a background in enterprise technology architecture with a forward-looking approach to AI-driven marketing. Prior to launching Synthetiko, James led AI and technology at Pierian, where he spent over four years building advanced systems and leading cross-functional innovation teams. His earlier ventures — from founding Denovi Ltd. to serving as CTO at Ignius — reflect a consistent focus on scalable infrastructure and intelligent system design. Now, at the helm of Synthetiko, James is applying deep learning not just to improve analytics, but to challenge outdated workflows and empower businesses to respond dynamically to user behaviour in real time. His work stands at the intersection of data science, UX, and enterprise transformation — a space where marketing intelligence becomes truly actionable. In this episode of the BTW Media Podcast , we had the opportunity to speak with James Atkins , founder of Synthetiko, a deep learning-led analytics platform that is making bold strides in transforming how enterprises engage with marketing data. With over nine years of experience in MarTech, AI, and web analytics — including work with major brands such as NatWest , Vodafone , and Pernod Ricard — James brings a unique perspective on what’s next for marketing technology.

Evidence

Pending intelligence enrichment.

Analysis

James explained that his company’s goal is to streamline and optimise web analytics through automation and AI-driven insights. By cutting through the noise of traditional dashboards and metrics, Synthetiko aims to empower decision-makers with more actionable, real-time data. “The biggest opportunity by far is improving the way we interact with websites.” Fei asked James to unpack the potential — and pitfalls — of bringing deep learning into analytics workflows, especially in such a fast-moving industry. James acknowledged the rapid pace of change in technology as both a challenge and a significant opportunity. “There’s a lot of technology shift that’s going to happen over the next five to ten years,” he noted, stressing the importance of adaptability. But within that transformation lies the opportunity to uncover insights and performance gains previously unreachable. Also read: 3 differences between machine learning and deep learning for neural networks

Key Points

  • James, founder of Synthetiko, is leveraging deep learning to transform web analytics and eliminate inefficiencies in marketing data teams.
  • He emphasises the importance of building secure, flexible, and future-proof architecture to stay ahead in the evolving MarTech space.
  • Synthetiko is focused on empowering enterprises with scalable AI solutions that drive engagement, adaptability, and measurable results.

Actions

Pending intelligence enrichment.

Author

Fei Wang