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SF Tensor builds an AI/HPC software and infrastructure stack to reduce the infrastructure burden for AI teams. It offers Emma Lang, a hardware-agnostic programming language that runs across GPUs and TPUs without rewriting code, and the SF Tensor Stack, including Kernel Optimizer and Elastic Cloud. The Kernel Optimizer turns models into efficient mathematical forms by simulating hardware topology, often outperforming hand-tuned code, while Elastic Cloud finds cost-effective hardware across clouds and coordinates large-scale training. The goal is to remove vendor lock-in, enable cross-cloud, hardware-agnostic compute, and cut compute costs so AI researchers can focus on innovation.
Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
1-10
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2025
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Total Funding
$130k
Below
Industry Average
Funded Over
1 Rounds
Industry standards
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Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
1-10
Company Stage
Seed
Total Funding
$130K
Headquarters
San Francisco, California
Founded
2025
Find jobs on Simplify and start your career today