# Remesh

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

Remesh is an AI-powered market research and audience insights platform that runs live, asynchronous, and video conversations with customers or employees at scale, using machine learning to cluster, rank, and surface representative opinions from large groups in real time. Its products span live AI-moderated focus groups, employee listening, and healthcare research, with an embedded research assistant (Remy). Remesh is delivered as a hosted SaaS workspace at live.remesh.chat; it publishes no public developer API, SDKs, or OpenAPI surface as of this profile. This record was surfaced as a portfolio company of General Catalyst and Techstars and enriched with the provider's real published identity, security, and trust artifacts.

## Kin Score — 14.3 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 14.3).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 39.5 |
| Access Clarity | 39.5 |

## 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 (2)

- **Remesh Domain Security** — TLSv1.3 · HSTS · DMARC
- **Remesh Trust Center** — SOC 2

## Tags

Company, Market Research, Insights, Artificial Intelligence, Employee Listening, Focus Groups, Software-as-a-Service

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