# Tensordyne

**Canonical:** https://apis.io/providers/tensordyne/  
**Website:** https://tensordyne.ai  
**APIs profiled:** 0

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.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 10.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Tensordyne Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/tensordyne/). Scores are computed from the provider's own public artifacts under a published rubric.