# Apoha

**Canonical:** https://apis.io/providers/apoha/  
**Website:** https://www.apoha.com  
**APIs profiled:** 0

Apoha is a deep-tech molecular-science company teaching machines to understand matter at the molecular level. Its Liquid State sensory-intelligence platform captures dynamic molecular fingerprints, measuring the biophysical behavior of molecules under stress from minimal sample amounts, to unlock a new fundamental data class for AI. Its first commercial product, VIBE (Variations in Inter-facial Behaviour Under Excitation), predicts how drugs, foods, and materials will behave in the real world, serving pharmaceutical, biotech, food-and-beverage, and materials-science R&D. Based in San Francisco and London, Apoha emerged from stealth in 2026 with $36M in funding led by Singular, alongside Draper Associates, Redalpine, Seedcamp, Wilbe, and Nucleus.

## Kin Score — 7.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

Regulatory layer — **Health**: 12.5 (matched via tags).

## 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)

- **Apoha Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Molecular Science, Artificial Intelligence, Deep Tech, Materials Science, Life Sciences, Sensory Intelligence

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