In May 2026, we brought together a diverse group of food industry leaders to discuss how we can implement the NPM 2018 model consistently and at scale. Download the full report here to discover the collaborative, AI-driven solutions, standardised frameworks, and practical opportunities identified by leaders across retail, manufacturing, and public health.
The 2018 updates to the UK’s Nutrient Profiling Model introduce complex new calculations for free sugars and fibre, creating significant HFSS compliance hurdles for retailers. Discover how these regulatory changes impact the industry and how AI technology offers a scalable solution for precise nutritional scoring.
Driven by the rise of GLP-1 medications, the convergence of food retail and clinical health is fundamentally transforming the industry. Discover why leading this “food as medicine” shift requires building a verified, clinical-grade nutrition intelligence infrastructure to earn consumer trust and outpace regulatory demands.
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Blog 6 in our series The Intelligence Gap – Why AI Alone Isn’t Enough for Food & Nutrition.
In regulated health environments, “the AI said so” is never a legal defense. As EU AI Act deadlines approach, relying on untraceable black-box models exposes businesses to severe liability. Discover why transparent, “glass box” reasoning engines are essential for both compliance and building consumer trust.
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Blog 5 in our series The Intelligence Gap – Why AI Alone Isn’t Enough for Food & Nutrition.
Generic AI models are fast and intuitive, but its pattern-based nature makes it structurally prone to dangerous clinical errors. To ensure safety and build consumer trust, language models must be paired with a deliberate, rules-based reasoning engine. Discover why safe AI requires both.
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Blog 4 in our series The Intelligence Gap – Why AI Alone Isn’t Enough for Food & Nutrition.
Millions of consumers are turning to unsafe, generic AI for complex dietary advice. This “shadow nutritionist” trend isn’t just a health risk – it’s a massive commercial gap. Discover why building genuine clinical dietary intelligence is the key to earning trust and capturing a highly loyal audience.
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Blog 3 in our series The Intelligence Gap – Why AI Alone Isn’t Enough for Food & Nutrition.
When AI confidently gives harmful nutrition advice, the costs aren’t just clinical – they’re commercial and regulatory. With strict EU AI Act compliance looming, discover why relying on general-purpose models risks your sales, and why validated reasoning engines are essential for the future of food discovery.
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Blog 2 in our series The Intelligence Gap – Why AI Alone Isn’t Enough for Food & Nutrition.
AI promises instant personalised nutrition, but statistically probable answers are not safe enough for complex dietary needs. Trained on low-quality web data, these models can easily generate confident yet dangerous medical advice. Discover why clinical accuracy must lead the future of AI food discovery.
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Blog 1 in our series The Intelligence Gap – Why AI Alone Isn’t Enough for Food & Nutrition.
The conversation around Ultra-Processed Foods is moving beyond the ingredient list. Explore how the industry is shifting from simple “clean label” trends to a deeper focus on food texture, satiety, and the NOVA classification system to drive genuine health outcomes.
Many products sit just points away from an HFSS classification. Learn how strategic product development and minor nutritional tweaks can help manufacturers bypass advertising restrictions, meet regulatory goals, and turn compliance into a competitive advantage.
