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.

Tensordyne is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Inference, Semiconductors, and AI Hardware.

Tensordyne’s developer surface includes engineering blog, support, YouTube channel, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

10.6/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0

0 APIs

Company Artificial Intelligence AI Inference Semiconductors AI Hardware Data-Center Machine-Learning Silicon Generative AI Deep Learning

Kin Score

Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0

Composite quality — 10.6/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.4 / 20

Access Clarity 4.2 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/tensordyne: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 6

The organization behind the API

Website

About

Blog

Careers

LinkedIn

Twitter

Twitter

Source (apis.yml)

aid: tensordyne
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/tensordyne.png
name: Tensordyne
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/tensordyne/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- mayfield
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- AI Inference
- Semiconductors
- AI Hardware
- Data-Center
- Machine-Learning
- Silicon
- Generative AI
- Deep Learning
tags_raw:
- Company
- Artificial Intelligence
- AI Inference
- Semiconductors
- AI Hardware
- Data Center
- Machine Learning
- Silicon
- Generative AI
- Deep Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://tensordyne.ai
- type: About
  url: https://www.tensordyne.ai/about
- type: Blog
  url: https://www.tensordyne.ai/stories
- type: Support
  url: https://www.tensordyne.ai/contact
- type: PrivacyPolicy
  url: https://www.tensordyne.ai/legal/privacy-policy
- type: TermsOfService
  url: https://www.tensordyne.ai/legal/terms-of-service
- type: Careers
  url: https://www.tensordyne.ai/careers
- type: LinkedIn
  url: https://www.linkedin.com/company/tensordyne
- type: Twitter
  url: https://x.com/TensordyneInc
- type: YouTube
  url: https://youtube.com/@TensordyneInc
- type: DomainSecurity
  url: security/tensordyne-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
  pass: local-v1

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