# Nexthop Systems

**Canonical:** https://apis.io/providers/nexthop-systems/  
**Website:** https://nexthop.ai  
**APIs profiled:** 0

Nexthop AI (Nexthop Systems) builds power-efficient AI networking infrastructure for hyperscalers and NeoClouds — scale-out and scale-across Ethernet switches, a networking software portfolio, and optics and cables engineered to lower the cost per token of training and serving large AI models. Founded and led by CEO Anshul Sadana, the company is backed by Battery Ventures and raised an oversubscribed $500M Series B in 2025 at a $4.2 billion valuation. Nexthop runs a public marketing, blog and news site plus a login-gated customer Support Hub and Learning Hub; it does not currently publish a public developer API, OpenAPI specification, or SDK surface.

## Kin Score — 11.9 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 11.9).

| 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 | 27.6 |
| Access Clarity | 27.6 |

## 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)

- **Nexthop Systems Domain Security** — TLSv1.2 · HSTS · DMARC

## Tags

Company, Networking, AI Infrastructure, Data-Center, Ethernet Switches, Optics and Cables, Networking Hardware, Hyperscaler

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