Suppdate Intelligence
Explainable by design.
Evidence Graph
Evidence is graded for a specific ingredient, outcome, population, form and dose — never as a universal 'this works'.
Technical detail
Grades A–E and U, built from weighted criteria: study design, methodological quality, consistency, directness, effect relevance, dose/form relevance and precision. Certainty rules and grade caps are versioned.
Product Intelligence
We check what's actually in the product, from verified label data.
Technical detail
Products are versioned; a reformulation creates a new immutable record. AI-extracted data stays unverified until a human checks it.
Outcome Alignment
Does this product's dose and form match what was studied for your goal?
Technical detail
Compared per outcome against the evidence relationship's dose protocol.
Personal Fit
A personal assessment using your biomarkers, goals, context and stack.
Technical detail
A deterministic, versioned decision service. Unknown data lowers confidence rather than being treated as negative. Not generated by an AI model.
Safety Engine
Interactions and safety limits always come first.
Technical detail
Deterministic rules override any personalisation score.
Stack Intelligence
Spot duplicates, excess totals and gaps across everything you take.
Technical detail
Ingredient totals are normalised across products and compared with upper limits.
Outcomes Graph
Learn what changed after you started — or stopped — something.
Technical detail
Interventions are linked to before/after measurements for longitudinal tracking.