Tensordyne
Tensordyne (formerly Recogni) builds next-generation AI inference systems from the foundation up — a proprietary logarithmic-math architecture cast into custom 3nm silicon, compute hardware, scale-up interconnect, and system software. Its flagship Napier platform targets the fastest, lowest-cost, most energy-efficient generative AI inference for hyperscaler and neocloud data centers, delivering 608 PFLOPS dense compute per rack in an air-cooled 30 kW pod and supporting MoE models, agentic workloads, and 4K video generation. The stack integrates with PyTorch, Triton, vLLM, and Kubernetes; a developer SDK is announced as coming soon. Backed by Mayfield, Bosch Ventures, Toyota Ventures, GreatPoint Ventures, and Plug and Play, the company has raised more than $211M and operates from Sunnyvale, California and Munich, Germany.
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 Tensordyne 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 — Tensordyne scores 12.3/100 (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 Tensordyne
Each block below is one kind of artifact we hold for Tensordyne. 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 Tensordyne — 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
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 6
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/tensordyne · machine-readable index on apis.io