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Atexto

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Creates, collects, annotates and transcribes audio to train voice assistants

San Francisco, United StatesFounded 2016Robotics
Valuation <$5M Last recorded · 2018
Revenue $10–50M Latest reported FY
Headcount <100 Current team size
Total funding $0–10M Disclosed equity funding
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About Atexto

Atexto operates as a crucial link in the artificial intelligence and machine learning sector, providing the essential data needed to train speech recognition engines. Founded in 2016 by Brenda Mana Pastrian and Esteban Gorupicz, the company facilitates the creation, collection, annotation, and transcription of audio data. This allows its clients, primarily companies developing voice assistants and other speech-to-text applications, to test, tune, and ultimately improve the accuracy of their AI models.

The business model is twofold. On one side, it serves enterprises by offering a platform to manage audio data projects, providing solutions like machine learning transcripts, data collection, and benchmark reports. On the other side, it functions as a crowdsourcing platform, engaging a global community of collaborators. These individuals earn money by performing transcription and data labeling tasks from home, converting audio files into text. This process is designed to be accessible, requiring no specific academic background and offering flexibility without set schedules. Atexto generates revenue by catering to the growing demand in the voice recognition market, which is projected for significant expansion as more industries adopt AI in their communication systems.

The platform, formerly known as QuieroTranscrito, supports over 24 languages and their various accents, ensuring a diverse and comprehensive dataset. This diversity is a key selling point, as it helps developers remove biases related to race, gender, age, and dialect from their machine learning models. For its corporate clients, Atexto provides live visibility into the progress of transcription projects and allows them to download completed files. For its individual collaborators, the platform has a straightforward payment system, with earnings redeemable via PayPal upon reaching a $10 minimum.

Financially, Atexto has secured a total of $500K in funding over two rounds. An initial grant of $40K from Start-Up Chile in May 2018 was followed by a significant Seed round of $500K on January 10, 2020. This later round was led by Redwood Ventures and included participation from other investors such as 500 Global and MC Capital, indicating confidence in the company's trajectory and business model.

Source: Dealroom company data

At a glance

Founded
2016
Headquarters
San Francisco, United States
Sector
Robotics
Power Law
Colt$25–100M revenue

Investors

9 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Seed5 investors entered at this stage

  • Start-Up Chile
  • Dux Capital
  • Mc-capital
  • Avalancha Ventures
  • NUMA New York

Series A2 investors entered at this stage

Series B and later2 investors entered at this stage

Team profiled 7 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
14 countries with
team presence
🇻🇪 Venezuela44%
🇦🇷 Argentina10%
🇵🇭 Philippines8%
🇨🇴 Colombia8%
🇲🇽 Mexico6%
Top 5 of 14 shown
Web traffic by country
320 monthly visits
across markets
🇹🇭 Thailand93.8%
Top 1 markets shown

Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Atexto on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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