CEFFICI
Field-controlled thermal architecture for next-generation AI compute. Coeffici develops magnetocaloric thermal layers and field-aware thermal intelligence software to model heat distribution, predict hotspots, and orchestrate adaptive thermal routing.
The Thermal Wall Is Outpacing Conventional Infrastructure.
AI compute density is scaling faster than conventional thermal architectures can handle. Existing liquid-based systems introduce mechanical overhead, infrastructure complexity, reliability constraints, and energy inefficiencies.
The next generation of compute requires adaptive, software-orchestrated thermal systems.
Programmable Thermal Control Beats Mechanical Escalation.
Legacy cooling stacks depend on liquid transport, pumps, pressure systems, and cold-plate style interfaces, which become harder to scale as thermal density rises.
Coeffici explores programmable thermal transport using magnetocaloric materials and software-defined thermal orchestration.
Software-Defined Thermal Architecture.
Coeffici combines magnetocaloric thermal layers, solid-state thermal transfer architecture, and magnetic-field-driven heat transport with field-aware software orchestration.
We are developing next-generation thermal control architectures inspired by magnetocaloric principles for future AI infrastructure.
Core Technology
Three integrated layers engineered for thermodynamic control and integration feasibility.
Thermal Architecture Layer
Magnetocaloric thermal layers integrated within advanced compute packaging for localized thermal regulation.
Material Layer
Solid-state adaptive thermal transport enabled by low-hysteresis, room-temperature magnetocaloric materials.
Intelligence Layer
Field-aware thermal intelligence software for thermal modeling, hotspot prediction, and magnetic-field activation control.
Scientific Foundation
Our leadership is rooted in magneto-thermal modeling and experimental validation, focusing on low-field feasibility and manufacturable integration.
- Low-hysteresis magnetocaloric materials validated at room temperature
- Localized thermal regulation models benchmarked in advanced packaging contexts
- Low-field feasibility explored within data center safety envelopes
- Multi-physics and software co-design models validated against experimental data
The Software Platform
Introducing: EntropyOS. The multi-physics orchestration engine. Coeffici provides a field-aware thermal intelligence environment for modeling heat distribution, predicting hotspots, and orchestrating thermal routing in advanced compute systems.
Vision
We believe cooling will become computational. Coeffici is developing next-generation thermal control architectures inspired by magnetocaloric principles for future AI infrastructure.
Request Technical Brief