We do not sell GPUs.
We do not train your model.
We do not replace your cloud.
We sit between the model and the meter.
When a job finishes, Fabric writes an Attested Capacity Record:
what ran, where it ran, which megawatts it used, which policy allowed it.
Operators, counsel, and counterparties finally read the same object.
We do not sell GPUs.
We do not train your model.
We do not replace your cloud.
We sit between the model and the meter.
When a job finishes, Fabric writes an Attested Capacity Record:
what ran, where it ran, which megawatts it used, which policy allowed it.
Operators, counsel, and counterparties finally read the same object.
We do not sell GPUs.
We do not train your model.
We do not replace your cloud.
We sit between the model and the meter.
When a job finishes, Fabric writes an Attested Capacity Record:
what ran, where it ran, which megawatts it used, which policy allowed it.
Operators, counsel, and counterparties finally read the same object.
We do not sell GPUs.
We do not train your model.
We do not replace your cloud.
We sit between the model and the meter.
When a job finishes, Fabric writes an Attested Capacity Record:
what ran, where it ran, which megawatts it used, which policy allowed it.
Operators, counsel, and counterparties finally read the same object.
@bosmeny We just raised $62M to sit between the model and the meter β 14 design partners, 47 MW already reserved β and we issue the only compute record a grid operator, a ministry, and your counsel will all accept.
@Polymarket We just raised $62M to sit between the model and the meter β 14 design partners, 47 MW already reserved β and we issue the only compute record a grid operator, a ministry, and your counsel will all accept.
@marcrandolph We just raised $62M to sit between the model and the meter β 14 design partners, 47 MW already reserved β and we issue the only compute record a grid operator, a ministry, and your counsel will all accept.
@pmitu 14 design partners
3 shadow deployments already running inside production environments
47 MW reserved interconnect
12,400 GPU-weeks under reservation
Priority access is open for operators and programs who already know which constraint is binding.
14 design partners
3 shadow deployments already running inside production environments
47 MW reserved interconnect
12,400 GPU-weeks under reservation
Priority access is open for operators and programs who already know which constraint is binding.
https://t.co/k7YEXtDEBN
Aevum is out of stealth.
We raised $62M to build the settlement layer for autonomous industrial capacity.
AI workloads now move faster than the grids, borders, and contracts meant to contain them. We coordinate those workloads against energy, jurisdiction, and time β and issue the record that proves the work happened where it was allowed to happen.
41 people. San Francisco, Arlington, Stockholm.
We do not sell GPUs.
We do not train your model.
We do not replace your cloud.
We sit between the model and the meter.
When a job finishes, Fabric writes an Attested Capacity Record:
what ran, where it ran, which megawatts it used, which policy allowed it.
Operators, counsel, and counterparties finally read the same object.
The round closed in March.
$62M Series A
Lead: Northglass Capital
Pellucid Partners Β· Harborline Β· Arden Fellows Fund
What it funds: Fabric Scale.
More sites. Harder constraints. Records that survive inspection.
Aevum is out of stealth.
We raised $62M to build the settlement layer for autonomous industrial capacity.
AI workloads now move faster than the grids, borders, and contracts meant to contain them. We coordinate those workloads against energy, jurisdiction, and time β and issue the record that proves the work happened where it was allowed to happen.
41 people. San Francisco, Arlington, Stockholm.