A design concept for in-ground soil-chemistry sensor nodes that mesh into a swarm, so exploration reads dissolved metal directly rather than inferring it from rock density. This is a proposal for what to build - no hardware exists, no field data has been collected, and every figure here is a design target.
Each sensor contains synthetic metalloproteins engineered for specific ion binding. When target ions contact the sensor, conformational changes trigger UV-Vis fluorescence-unique spectral signatures for each element.
Units would form self-healing mesh networks, with data hopping between nodes to reach cellular/satellite gateways. A 1,000-unit swarm is sized on paper to cover about 500 km². No mesh has been built, so there is no measured uptime.
The probe's microchannels use capillary action to draw soil moisture upward without pumps. Dissolved mineral ions travel with the water to the biosensor chamber. Works in any soil with >5% moisture.
Dissolved mineral ions enter the sensor chamber. Hyperlogatrine proteins have engineered binding pockets with precise geometry matching specific ion sizes.
When a target ion binds, the protein undergoes a conformational shift-changing its 3D structure, enabling energy transfer.
UV excitation triggers characteristic fluorescence at specific wavelengths. Cu emits at 450nm, Li at 520nm, Co at 580nm.
Fluorescence intensity would be proportional to ion concentration, which GeoNeuron™ would turn into ppm/percentage readings.
No such protein has been designed, expressed or tested. The binding pockets, the conformational mechanism and the emission wavelengths on this slide are what the concept would require — they are not measurements, and no lab work has been done.
No such network exists and no dataset has been assembled. For the concept to work it would need soil chemistry from known deposits paired with drill-verified assays. The corpus below is the shopping list — what would have to be collected or licensed — not data Hyperlog holds.
The concept assumes each element produces a distinctive UV-Vis fluorescence pattern when bound to Hyperlogatrine. There is no library: 47 elements is the coverage target, and the cards below are the specification a working sensor would have to meet, not calibration results.
Sizing targets for a mesh that has not been built. Mesh range and area follow from LoRa link budgets; nothing below has been measured in the field.
| METRIC | TRADITIONAL | HYPERLOG (TARGET) |
|---|---|---|
| Cost per km² | $25,000+ | $12,000 |
| 10,000m drilling | $2.7-3.6M | Pre-validated |
| Exploration phase | 12+ years | 6-8 weeks |
Multiple engagement models to match Glencore's priorities and risk appetite.
This is an unsolicited proposal. Glencore has not been engaged, has not reviewed this deck and has no agreement, pilot or relationship of any kind with Hyperlog. The sites named are Glencore's own public assets, listed as candidates we would suggest — not sites we have worked on.
We're not proposing a transaction-we're proposing a conversation.
What could Hyperlog's stack do for Glencore's most ambitious projects?