# Latent Space

**Canonical:** https://apis.io/providers/latent-space/  
**Website:** https://www.latentspace.co/  
**APIs profiled:** 0

Latent Space is an artificial intelligence company building generative models for businesses and creatives, described by General Catalyst as creating "AI technology for predictive analytics and data-driven insights." The company raised a Series A from Greylock and General Catalyst and is listed in the General Catalyst portfolio under the Artificial Intelligence industry in North America. As of a July 2026 probe, Latent Space publishes no developer surface: the company domain latentspace.co returns an HTTP 302 redirect to its X/Twitter profile for every path probed, no docs/api/developer/app/status subdomains resolve in DNS, there are no /.well-known/ discovery documents, no llms.txt, and no public repositories under its GitHub organization. This profile therefore records verified company identity and domain posture only — no API, SDK, or documentation artifacts exist to harvest.

## Kin Score — 6.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.4).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| 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)

- **Latent Space Domain Security** — TLSv1.3 · HSTS · DNSSEC

## Tags

Company, Artificial Intelligence, Generative AI, Machine-Learning, Predictive Analytics, Venture Backed, North America

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