Two raw material streams, nine validated stages, and every packaging format, capex requirement, and go-to-market channel they unlock — mapped as a single continuous system.
We deliberately don't chase the high-grade MGO variety that the rest of the industry is commodifying — and that faces its own seasonal supply challenges. Instead we source Rewarewa, Mānuka Multifloral, Kānuka, and Native Bush Blend. Our data ecosystem mapping lets us qualify, quantify, and validate which Māori land trust each honey comes from, weaving the ethical supply, provenance, and cultural narrative into the product — something that matters to a specific set of customers, consumers, and markets.
Bee dross — the residue left on frames and in hives after honey extraction — is currently discarded at a rate of roughly 20 tonnes a week across New Zealand. It carries significantly higher bioavailability than the honey itself. It shares the same data ecosystem as our honey, carrying the same provenance, cultural, ethical, and environmental narrative to customers, consumers, and ongoing research.
Two raw material streams — honey and dross — move through nine validated stages of increasing value, from raw commodity to formulated, science-backed product.
Validated ingredients (Stages 1–9) route into two commercial packages: bulk B2B ingredient supply, or one of five B2C consumer formats — each unlocking a distinct set of end applications.
The infrastructure required to move raw material into packaged product — from readiness assessment through processing to GMP-grade packaging equipment.
Packaged product reaches the market through two parallel routes — B2B distribution into manufacturer, retail, and distributor channels, and B2C direct engagement with the end consumer.
How to read the map — what each badge and dot means, and how a single ingredient moves from raw material through to the market it reaches.
These traces are illustrative — the Master tab defines each layer (product stage, package format, capex, channel) independently. Reading them end-to-end shows the intended commercial logic: which raw stream can become which format, and which format is suited to which route to market.