As of 10 Nov 2026, Expanse has raised $5.3M across 1 verified round on record; latest: $5.3M seed round led by Crane, announced 16 Sep 2026.
A cluster optimization platform that improves GPU utilization by predicting resource fit and failure risk at job submission time
expanse.shLinkedInSan Francisco, USAAI infrastructureYC X26Founded 20254 people
7 sources · checked 1 time, last 43d ago
Source 4 lists AIP Seed among Expanse's backers, but no source says it invested in this round; it is excluded.
Publication audit: announced 2026-09-16: "SAN FRANCISCO and LONDON, Sept. 16, 2026 (GLOBE NEWSWIRE) -- Expanse, the AI infrastructure company bringing compute certainty to every AI workload, today announced a $5.3 million seed funding round" (https://markets.businessinsider.com/news/stocks/expanse-raises-5-3-million-to-eliminate-guesswork-from-ai-computing-1036550143)
| Round | Amount | Announced | Lead | Buzz |
|---|---|---|---|---|
| Seed | $5.3M | 2026-09-16 | Crane | No recent discussion |
7 sources · checked 1 time, last 43d ago [ VERIFIED · CORRECTED ] read against 4 of 7 sources
Source 4 lists AIP Seed among Expanse's backers, but no source says it invested in this round; it is excluded. Publication audit: announced 2026-09-16: "SAN FRANCISCO and LONDON, Sept. 16, 2026 (GLOBE NEWSWIRE) -- Expanse, the AI infrastructure company bringing compute certainty to every AI workload, today announced a $5.3 million seed funding round" (https://markets.businessinsider.com/news/stocks/expanse-raises-5-3-million-to-eliminate-guesswork-from-ai-computing-1036550143) | ||||
Expanse builds software for organizations running AI and high-performance-computing clusters that predicts each workload's GPU, CPU, memory, and runtime needs before it runs and diagnoses failures afterward.
LinkedIn via Alexandria from ycombinator.com
Engineers must guess how much compute a workload needs, so underestimation can kill jobs while overestimation leaves expensive capacity idle; Expanse says one production deployment identified nearly $8 million of idle compute in a single month. Its $5.3 million seed is aimed at hiring engineers and bringing pre-execution resource prediction to more AI labs, quantitative-finance teams, life-science organizations, and research-computing clusters, where recovering existing GPU capacity can be faster than buying more hardware.
Checked against 10 sources on Sep 26