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Expanse

Expanse is a YC Spring 2026 (P26) company. Based in San Francisco, CA, USA. Team of 4.

  • Deep Learning
  • B2B
  • Infrastructure
  • ML

About Expanse

GPAgent's own fund-neutral profile, written from public information. Updated Oct 4, 2026.

Summary

Expanse builds software that recovers wasted GPU capacity on HPC and cloud clusters. Before a job runs, Expanse predicts the exact resources it needs, flags configurations that will cause failure, and surfaces code and config changes researchers can apply themselves. This replaces the manual guesswork engineers use today when sizing training runs, simulations, and inference workloads.

Go-to-market

Customers are teams running GPU workloads on SLURM, Kubernetes, or Nomad clusters, including research institutions and compute-heavy enterprises. Adoption starts with a single-command install that connects Expanse to an existing cluster, followed by a discovery call.

From the Y Combinator listing

How Expanse describes itself in Y Combinator's public directory.

Unlock wasted GPU capacity.

Expanse unlocks wasted GPU capacity. We recover idle compute through three capabilities: resource prediction (right-sizing job submissions before they reach the scheduler), optimisation suggestions (code and config changes researchers can apply themselves), and failure prediction (catching jobs that will fail before they consume hours of GPU time). We’re four engineers. We ran HPC and GPU training workloads at the largest quant funds and national supercomputing centres. We faced this problem first hand and the only fix was to over-provision and burn millions. Ismaeel built the first multimodal HPC resource predictor as research at EPCC (Edinburgh’s Parallel Computing Centre), which beat every published baseline. This is the tool we wish we had.

Facts

Industry
B2B / B2B -> Infrastructure
Location
San Francisco, CA, USA
Team size
4
Status
Active
Stage
Early

Founders (4)

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