# Humansand

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

humans& (Humansand) is a human-centric frontier AI lab publicly introduced on January 20, 2026. It aims to reimagine AI around people and their relationships, positioning models as connective tissue that strengthens organizations and communities rather than autonomous replacements. Its stated research agenda centers on long-horizon and multi-agent reinforcement learning, memory, and user understanding, tightly integrating scientific research with product development. The founding team has led work in reasoning, behavioral training, agents, and alignment across frontier industry and academic labs including xAI, Anthropic, Google DeepMind, OpenAI, Meta, Reflection, AI2, Stanford, and MIT. Its seed round is led by SV Angel and co-founder Georges Harik. As of this profile the company is pre-product with no publicly documented API, SDK, or developer platform.

## Kin Score — 6.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| 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)

- **Humansand Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Machine-Learning, Reinforcement Learning, Frontier AI, AI Research Lab, Multi-Agent Systems, AI Agents

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