Why we exist
The Alpine snowmaking industry is one of the few global markets where a single physical constraint — wet-bulb temperature — defines billions of euros of operating economics. Climate volatility is making that constraint binding more often, in more places, and earlier in each season. Resorts have responded with brute-force capacity expansion: more guns, more water, more electricity. The cost curve is unsustainable; the environmental cost is becoming politically intolerable.
DeepSnow attacks the physics, not the equipment. A polymer dosed in single-digit ppm into existing snowmaking water raises the wet-bulb ceiling by approximately +3 °C and translates directly into 300–500 additional operating hours per resort, per season. The same molecular toolkit — ice-recrystallization-inhibiting polymers, polypeptides modelled on antifreeze glycoproteins, and starch-based nucleators — applies wherever water-into-ice or ice-into-water is the economic lever: ice rinks, frozen food texture, biologic and vaccine cold chains, cell and tissue cryopreservation.
What we believe
- Chemistry and software belong on the same team. Our AI discovery engine and our wet lab share weekly experimental cycles — every model prediction earns its place against a measured assay.
- Drop-in beats retrofit. A product that requires new capital equipment in a resort, a rink, or a cold-chain warehouse is a product that ships in a decade. We engineer for existing infrastructure.
- Regulatory pathway is part of product design. SL6733 is being engineered specifically to qualify under existing EU polymer-exemption and US TSCA frameworks. We treat the dossier as a deliverable, not an afterthought.
- Ireland is the IP base. Italy is the operations base. Customers are global. We have built the corporate structure to reflect this from day one — Irish parent (SnowLabs Limited) and the planned Italian operating entity (DeepSnow Srl — in formation, Varese).
How we measure ourselves
We are an R&D-stage business. We do not measure ourselves on press releases, conference appearances, or non-binding letters of intent. We measure ourselves on three things: (1) verified molecular performance — MGS reduction in splat assays, ice-binding affinity, freeze-thaw durability; (2) signed pilot agreements with EU resort operators for the 2026/27 season; and (3) the speed at which the AI discovery engine reduces the cost-per-candidate of moving from in silico design to a polymer in a flask.