ELI - The Health Intelligence Ontology Layer Rewriting Preventative Health

In a world where healthcare systems buckle under demand and consumers drown in conflicting wellness advice, a fundamental question emerges: what if your smartphone could prevent health issues before they manifest? Not through superficial symptom tracking, but by understanding the intricate web connecting what you put on your skin to what's happening in your gut, eyes, and bloodstream and tracing those connections back to the soil where ingredients originated.

This isn't science fiction. It's the promise of Enbodie Living Intelligence, known as ELI - a proprietary data architecture we've built that represents the first truly integrated approach to preventative health.

Beyond Traditional Databases

Traditional health databases operate like filing cabinets: organised, searchable, but fundamentally static. They update annually, if at all, and treat each category of health information - dermatology, toxicology, nutrition, environmental exposure - as separate drawers that rarely communicate. When new research emerges linking gut microbiome composition to skin barrier dysfunction, or when regulators ban a problematic ingredient, these systems take months or years to reflect the change.

ELI - Enbodie Living Intelligence

ELI takes a radically different approach. Rather than storing information in rigid tables, it operates as a living knowledge graph - a continuously-learning system that synthesises relationships between millions of products, toxicology data points, patient-generated health observations, agricultural practices, and emerging scientific research. When France bans PFAS in cosmetics, ELI doesn't wait for quarterly updates; it recalculates safety scores for affected products within milliseconds.

The Power of Connected Intelligence

What makes ELI genuinely transformative isn't its size - though synthesising tens of millions of data points is impressive - but its ability to connect domains that conventional medicine treats as entirely separate entities.

Consider this scenario: a person experiences persistent dry eyes, occasional digestive discomfort, and subtle skin inflammation. Traditional medicine sends them to three different specialists who each treat the symptoms in isolation - eye drops, antacids, topical steroids.

The challenges - none of these clinicians see the pattern, because their systems aren't designed to look across domains.

ELI, by contrast, recognises these symptoms as potential signs of systemic microbiome disruption, and pioneering surgeon Dr Rachna Murthy has developed a preventative clinical approach to address this: the Microbial Mantle, a protective layer of beneficial bacteria spanning the gut, skin, and ocular surfaces. We have extended this concept into our technology platform so that, by cross‑referencing a person’s product usage history, ingredient exposure patterns, and health observations over time, ELI can identify that a preservative in their new foundation may be disrupting their tear film while simultaneously affecting gut barrier integrity.

Dr Rachna Murthy extract from the Journal of Regenerative Aesthetic Medicine

This capability to connect seemingly unrelated symptoms through underlying biological mechanisms represents a fundamental shift from reactive diagnosis to proactive prevention.

Personalisation That Actually Means Something

The wellness industry loves talking about "personalisation," but usually this means little more than demographic segmentation: recommendations based on age bracket or skin type. ELI operates at a fundamentally different level of precision.

By integrating data across skin barrier function, microbiome composition, genetic variants affecting detoxification pathways, medication interactions, and longitudinal health observations, ELI can generate genuinely individualised guidance. Two people with the same skin type may receive completely different product recommendations because one has a genetic variant that accumulates certain toxins 2-3 times faster than average, whilst the other has microbiome characteristics that create heightened sensitivity to specific preservatives.​

This precision extends to outcome prediction. Rather than offering generic timelines - "you'll see results in 4-8 weeks" - ELI constructs personalised recovery trajectories based on individual healing capacity, barrier restoration velocity, and microbiome resilience. We take into account current biometric selfies, requiring just 720 resolution (pixels) to do so with attributes like current elasticity, pore size, lines, etc and combine this into the analysis.

Someone with compromised barrier function and dysbiosis receives an honest assessment: meaningful improvement may take 12-16 weeks, not the 4 weeks splashed across product marketing. This transparency dramatically reduces the abandonment problem plaguing the wellness industry, where consumers give up on effective products simply because their expectations weren't properly calibrated.

The Soil-to-Skin Revolution

Perhaps ELI's most audacious capability is tracing finished consumer products backwards to their agricultural origins - linking the cotton in your tampons to specific farms, the aloe in your moisturiser to verifiable soil health data, the chamomile in baby products to pesticide application records.​

This isn't merely environmental virtue signalling. Agricultural contamination - glyphosate residues, heavy metal uptake from degraded soils, pesticide accumulation - directly affects human health when those ingredients enter personal care products and supplements. By integrating real-time agricultural data, ELI can predict supply chain contamination months before affected products reach consumers, enabling proactive manufacturer intervention.​

This farm-to-consumer transparency also creates powerful economic incentives for regenerative agriculture. Products sourced from farms practising soil restoration, carbon sequestration, and chemical elimination receive higher safety and sustainability ratings, commanding premium pricing whilst supporting environmental restoration.

The Path Forward

ELI represents more than incremental improvement in health data management. It's a fundamental reconception of how preventative health intelligence should function: continuously learning, connecting siloed domains, anticipating harm before it manifests, and empowering both consumers and clinicians with insights previously reserved for research institutions.​

The question facing the health and wellness industry isn't whether integrated, real-time health intelligence will become standard - Oxford research makes clear that environmental exposures drive health outcomes far more than genetics, making ELI's approach inevitable. The question is who builds it first, builds it right, and builds the network effects that make it unreplicable.​

That work is already underway at Enbodie 💚🌿🌱