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.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Standard Kernel the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Standard Kernel scores 7.2/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Standard Kernel
Each block below is one kind of artifact we hold for Standard Kernel. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Standard Kernel — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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