Bordem AI is a phase-change thermal buffer for AI infrastructure — a stationary store that holds heat when moving it is expensive and releases it when it's cheap, carrying a data center's cooling load away from its costliest hours.
Compute demand keeps compounding, rack densities have jumped an order of magnitude, and cooling still runs as a rigid, always-on load — indifferent to weather, grid, or price. That inflexibility is becoming the real constraint on how fast infrastructure can scale.
Figures are widely-cited industry estimates for context, not Bordem AI measurements — they vary by facility and region.
Heat leaves the servers, rests in the buffer when the outside world is hot and expensive, and travels on when conditions are kind — timed by a controller reading the road ahead.
Server heat rides a clean, isolated loop and is handed to the buffer through a heat exchanger — nothing new inside the rack, no new failure mode.
A stationary tank of capric–lauric eutectic melts across an 18–21°C band, holding heat at a near-constant temperature until it's cheap to move on.
A dry cooler takes the easy hours, the buffer absorbs the peaks, and an adiabatic trim stage covers the worst-case envelope.
Model-predictive control forecasts load, weather, and price and decides when heat travels — the defensible core of the system.
Drag energy into the material and watch its temperature. While it melts, it swallows a huge amount of heat while barely warming — that long flat stretch is the whole trick. Bordem AI parks a data center's heat right on that plateau.
Illustrates the physics of a phase-change material — not a product measurement. Bordem AI uses a capric–lauric eutectic tuned to melt at 18–21°C.
A v0 thermal model of a 1 MW facility in a hot climate. Sending heat rejection toward the cool, efficient hours flattens the chiller's electrical draw. The headline is peak reduction — the demand-charge lever. These are modeled figures; bench validation is underway.
The worst-hour draw that sets demand charges and chiller sizing.
Sized to hold roughly a full afternoon of shifted heat.
Cooling work moves to cheaper, cooler hours — time-of-use upside on top.
These come from a first-pass thermal model for engineering illustration — not lab measurements. A bench prototype is in test; measured charge/discharge curves will replace these projections as data arrives. Download the modeled dataset (CSV) →
The same buffering physics travels across sectors. We prove it where pilots move fastest, then carry the data up the road to AI data centers.
The destination — where density and cooling bills make the buffer most valuable at scale.
Battery sites need tight thermal control in a small envelope — the quickest path to a pilot.
High-power stacks spike hard and briefly — a textbook case for buffering the peak.
Distributed, cooling-constrained sites where avoided peak has outsized value.
Process-critical thermal stability where excursions are costly.
Flatten cooling demand across fleets and shift to cheaper hours.
University and lab clusters with bursty, schedule-driven compute.
On-prem rooms retrofitting toward denser, hotter hardware.
Three waypoints, kept honestly apart: reached, under way, and ahead. Nothing here is drawn as a place we've arrived before we have.
Stationary bulk-PCM, separated-loop architecture defined; v0 thermal model built and documented.
Building and instrumenting a bench buffer to capture real charge/discharge and thermal-curve data against the model.
A field-deployable buffer for a first design-partner site in a fast-moving market.
Scale the proven buffer into AI data-center cooling, carrying operating data from earlier pilots.
Each founder keeps a personal site in the same warm, editorial spirit. Open one below — the full site loads inline, right here, without leaving Bordem AI.
Owns the technical thesis and company direction. Previously took Bordem AI from zero to paying customers.
Runs execution — the prototype and bench-test program, mechanical build, and supply chain.
Owns strategy — where the company plays, who it serves first, and how it gets there.
We're raising and talking to design partners to take the buffer from bench prototype to first field pilot. If you back deep tech, climate, or infrastructure — or run a facility fighting its cooling peak — let's talk.