Mount Thor Raises $45M Series A - The SaaS News
Mount Thor, a San Francisco startup founded in 2026, has raised $45 million across a combined seed and Series A to build cloud infrastructure around Apple silicon. The Series A was co-led by CRV and Conviction; the seed by Chad Byers and Offline Ventures. CEO Peter Voell plans to use the capital to expand data center capacity and hiring, with a focus on AI agent training and open-source model inference on Apple hardware.
Key facts
- Total raise: $45 million (combined seed and Series A)
- Series A co-led by CRV and Conviction
- Seed co-led by Chad Byers and Offline Ventures
- CEO: Peter Voell
- Founded: 2026; headquartered in San Francisco
- Product: on-demand remote access to Apple silicon / macOS cloud infrastructure
- Use of funds: data center expansion and hiring
- Funding date: November 12, 2026
Mount Thor, a San Francisco-based cloud infrastructure startup, has raised $45 million in a combined seed and Series A round, according to The SaaS News. The capital will fund the company's mission to give developers remote, on-demand access to Apple silicon — hardware that has gained attention for its performance-per-watt characteristics in AI workloads.
The Series A tranche was co-led by venture firms CRV and Conviction, while the earlier seed round was co-led by investor Chad Byers and Offline Ventures. Additional backing came from CSC Leasing, Enea Capital, Long Journey Ventures, and Upper90, alongside individual participants affiliated with Cognition, Core Automation, Daytona, Meta, OpenAI, Together AI, and Vercel.
Founded in 2026, Mount Thor is led by CEO Peter Voell. The company builds and operates data center systems built around Apple hardware, allowing customers to spin up macOS computing environments remotely for AI research, agent-based automation, and software testing.
Management reportedly plans to deploy the new capital across two priorities: expanding raw data center computing capacity, and growing the team. On the product side, the funds will specifically support infrastructure for training AI agents and running open-source models optimized for Apple silicon — a niche but increasingly competitive segment as AI model inference demands diversify beyond traditional GPU clusters.
Terms beyond the total raise were not disclosed.
As AI agent development accelerates, the underlying compute layer is diversifying beyond Nvidia GPUs. Mount Thor's bet is that Apple silicon — optimized for energy-efficient inference — represents a viable cloud substrate for a new class of AI workloads. The roster of angel-affiliated companies (OpenAI, Meta, Together AI, Cognition) signals that frontier AI labs are watching the Apple silicon cloud space closely.
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