# Humans

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

humans& is a human-centric frontier AI lab founded in 2025 and publicly announced on January 20, 2026, building large-scale AI models centered on people and their relationships rather than raw autonomy. Its research spans long-horizon and multi-agent reinforcement learning, memory, and user understanding, tightly integrating science and product so that AI acts as connective tissue that strengthens organizations and communities. The founding team comes from 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, with investors including NVIDIA, GV (Google Ventures), Emerson Collective, Forerunner, S32, DCVC, and Jeff Bezos. As a pre-product research lab it publishes no public API yet; this profile captures its verified public identity surfaces.

## 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 | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| 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).

## Tags

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

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