Act A — The Market Structure
The functional ingredients market operates at the intersection of food science and international trade, and it is broken in a remarkably specific way. Buyers know precisely what they need—a formulator can specify the exact solubility curve and amino acid profile required—but the discovery system is crude: trade shows, broker cold calls, and Google searches returning marketing brochures rather than verified analytical data. Sellers, meanwhile, have excellent labs and real Certificates of Analysis but no structured pathway to put that data in front of the right R&D scientist at the right moment.
Act B — The Story
Hana is nine months into a reformulation project for a major European plant-based meat analogue. Her current pea protein supplier in the Netherlands has a flavour problem she cannot engineer around at scale. She needs a pea protein isolate with over 82% protein purity, a specific water-holding capacity for her texture targets, and a verified neutral-flavour profile—plus organic certification and EU-traceable provenance. She has contacted four brokers in the last six months. Three introduced suppliers who could not meet the spec. One never responded.
Derek’s plant near Saskatoon produces exactly what Hana needs. He has independent lab CoAs showing 84% protein purity, validated flavour panels, and a certified organic supply chain back to specific Saskatchewan farms. He has been trying to break into the European formulator market for two years and has spent $80,000 on trade shows with no commercial result.
Hana inputs her formulation requirements directly into the platform’s structured specification interface. The algorithm cross-references verified CoA databases for Canadian processors. Derek’s product matches on all five criteria. The platform generates a structured sample request, routes a 500g trial quantity through a bonded sample logistics provider, and creates a shared workspace where Hana uploads her lab results and Derek responds with production parameters. Within 90 days of the match, they are negotiating a 200-tonne annual off-take agreement.
Act C — Why This Market Stays Broken Without Infrastructure
The broker model cannot handle multi-attribute specification matching. A broker can introduce two parties; they cannot algorithmically verify that a supplier’s CoA matches a buyer’s formulation spec across six simultaneous parameters. That is a data problem, and it requires a data platform. DeeperPoint builds the structured qualification pipeline that turns Canadian agricultural expertise into accessible, verified, internationally competitive ingredients.
Characters are fictional. The functional ingredients supply-chain gap is real. DeeperPoint is building the infrastructure this story describes.