Frequently Asked Questions

Identifying where AI will create real value comes first. We help you do that, then handle the engineering and integration to connect it into your data and workflows and run it in production. From there we take you through to deployment and team handover.

An applied AI engineer builds AI that runs in your business. We identify where AI will create real value, then engineer it end to end: the data pipelines, the models, and the integration into your existing systems and workflows, so it runs in production.

Generative AI (like ChatGPT or image generators) creates new content: text, images, and code. Applied AI is the broader discipline of using any AI technique, whether machine learning, NLP, computer vision, or generative models, to solve a specific business problem. Applied AI focuses on practical outcomes: better forecasts, smarter automation, and faster decisions. Generative AI is one tool in the applied AI toolkit.

Return comes from a few places: time saved by automating manual work, faster and better-informed decisions from data you can trust, and the cost avoided by not building and running the capability in-house. We agree the outcomes that matter to you in an upfront scoping workshop, then work in phases so value shows up early rather than only at the end. You can start with a proof-of-concept and scale your investment once the return is proven.

Applied AI innovation refers to the practical implementation of artificial intelligence technologies to solve real-world business problems. It goes beyond theoretical research to deliver production-ready solutions, such as intelligent data pipelines, predictive analytics dashboards, and automated decision-support systems. For asset-owning businesses, this means turning operational data into strategic advantage through custom AI models, modern data platforms, and AI-augmented workflows.

Yes, we currently operate across EMEA, APAC, and LATAM. Our consortium model means we can assemble the right team for any timezone and regulatory environment, whether you need on-site presence or fully remote delivery.

We specialize in working with asset owners and operators (property, infrastructure, utilities), private equity firms, digital natives, and AI & data startups. Our deep experience in asset-heavy industries means we understand the unique data challenges (fragmented systems, legacy platforms, and complex reporting requirements) that these organisations face.