# Atexto

**Canonical:** https://apis.io/providers/atexto/  
**APIs profiled:** 0

Atexto was a speech-recognition data company (self-described "the accuracy platform for speech recognition") based in Mexico City, founded around 2016 by Brenda Mana Pastrian and Esteban Gorupicz. It helped machine-learning and voice-assistant teams create, collect, annotate, transcribe, and benchmark audio/speech datasets, combining an enterprise data platform with a global paid crowdsourcing community that transcribed and labeled audio across roughly 24 languages and their regional accents. The company also offered a hybrid human-plus-machine audio-to-text transcription service and ASR training-data services. It was backed by 500 Global, Redwood Ventures, MC Capital, and a Start-Up Chile grant. The company now appears inactive: its former domain atexto.com has been repurposed to an unrelated third-party site, and no live developer portal, API documentation, or machine-readable API specification could be located. This profile captures verified historical identity only; no API artifacts were enriched because no live API surface exists.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 5.0).

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

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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, Speech Recognition, Transcription, Data Labeling, Data Annotation, Voice AI, Training Data, Crowdsourcing, Machine Learning, Latin America

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