Standard Kernel

Standard Kernel Co. is an AI infrastructure company building a system that automatically generates optimized low-level kernel code — the programs that execute computations on GPUs and TPUs. It aims to eliminate the kernel-engineering bottleneck across the AI stack by combining LLMs with program analysis to produce hardware kernels (matmul, attention, fused feed-forward networks) that match or exceed hand-tuned libraries such as cuBLAS and FlashAttention3, including reported results at 99–116% of cuBLAS on H100 BF16 matmul. Backed by a $20M seed round with participation from General Catalyst, the company is early-stage and does not yet publish a public API, SDK, or developer platform.

Standard Kernel is profiled on the APIs.io network. Tagged areas include Company, AI Infrastructure, GPU, Kernel Optimization, and Compilers.

Standard Kernel’s developer surface includes engineering blog and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub
7.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyAI InfrastructureGPUKernel OptimizationCompilersMachine LearningArtificial Intelligence

Kin Score

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scored 2026-07-27 · rubric v0.5
Composite quality — 7.2/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Standard Kernel Domain Security

TLSv1.3 · HSTS · DNSSEC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

X
X

Source (apis.yml)

apis.yml Raw ↑ 
aid: standard-kernel
accessModel:
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  onboarding: unknown
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  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/standard-kernel.png
name: Standard Kernel
description: Standard Kernel Co. is an AI infrastructure company building a system that automatically generates optimized
  low-level kernel code — the programs that execute computations on GPUs and TPUs. It aims to eliminate the kernel-engineering
  bottleneck across the AI stack by combining LLMs with program analysis to produce hardware kernels (matmul, attention, fused
  feed-forward networks) that match or exceed hand-tuned libraries such as cuBLAS and FlashAttention3, including reported
  results at 99–116% of cuBLAS on H100 BF16 matmul. Backed by a $20M seed round with participation from General Catalyst,
  the company is early-stage and does not yet publish a public API, SDK, or developer platform.
url: https://raw.githubusercontent.com/api-evangelist/standard-kernel/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- AI Infrastructure
- GPU
- Kernel Optimization
- Compilers
- Machine Learning
- Artificial Intelligence
apis: []
common:
- type: DomainSecurity
  url: security/standard-kernel-domain-security.yml
- type: Website
  url: https://standardkernel.com
- type: Blog
  url: https://standardkernel.com/blog
- type: X
  url: https://twitter.com/Standard_Kernel
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
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