# Long Lake

**Canonical:** https://apis.io/providers/long-lake/  
**Website:** https://llmh.com/  
**APIs profiled:** 0

Long Lake is an AI-enabled roll-up holding company founded in 2023 that acquires and modernizes established American services businesses — spanning homeowners association (HOA) management, construction and infrastructure services, and corporate travel — by deploying its proprietary horizontal AI platform, Nexus. Backed by General Catalyst, Alpha Wave, D1 Capital, Thrive, and Elad Gil, the company has raised over $670 million and acquired more than 30 businesses, including a $6.3 billion agreement to take American Express Global Business Travel private. Long Lake operates as a private holding company (llmh.com) with no public API or developer surface; this profile is maintained in the API Evangelist network as a company lead.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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)

- **Long Lake Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Holding Company, Services, Rollup, HOA Management, Corporate Travel

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