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Dover, Delaware-based Atexto provides labeled speech data collection, transcription, and crowdsourcing services to help enterprise clients train and improve their artificial intelligence, machine learning, and speech recognition models. The company operates a two-sided business-to-business platform that allows organizations to purchase customized audio datasets while compensating individuals for recording and annotating their voiceprint data. These specialized datasets are primarily utilized by software developers working on natural language processing, call center automation, chatbots, and voice assistants. The enterprise has secured over $3 million in seed funding from institutional investors, including Y Combinator, Magma Partners, and DILA Capital. To generate its diverse, multi-language training data, the technology platform relies on up to 145 corporate employees managing a crowdsourced network of over one million freelance contributors. Atexto was officially founded in 2018 by Esteban Gorupicz and Brenda Mana Pastrian.
Atexto has raised $1.0M across 2 funding rounds.
Atexto has raised $1.0M in total across 2 funding rounds.
Atexto has raised $1.0M across 2 funding rounds. Most recently, it raised $710K Seed in December 2019.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2019 | $710K Seed | — | 500 Global, 500 Startups Latam, Avalancha Ventures, DUX Capital, Elsewhere Partners, Impacta VC, Innogen Venture Capital, Krillion Ventures, LAUNCH, MC Capital, Predictive VC, SeedInvest, Andreas Mihalovits, Henry Rouquairol | Announced |
| Sep 1, 2018 | $330K Seed | — | 500 Global, 500 Startups Latam, Avalancha Ventures, DUX Capital, Elsewhere Partners, Impacta VC, Innogen Venture Capital, Krillion Ventures, LAUNCH, MC Capital, Predictive VC, SeedInvest, Andreas Mihalovits, Henry Rouquairol | Announced |
Atexto has raised $1.0M in total across 2 funding rounds.
Atexto's investors include 500 Global, 500 Startups Latam, Avalancha Ventures, Dux Capital, Elsewhere Partners, Impacta VC, Innogen Venture Capital, Krillion Ventures, LAUNCH, MC Capital, Predictive VC, SeedInvest.
Atexto is a technology company that develops an AI-based platform for collecting, managing, labeling, annotating, and transcribing speech data to train and improve machine learning models for speech recognition and voice assistants.[1][2][5] It serves AI developers, data teams, and companies building voice understanding systems by providing access to labeled audio datasets, while also enabling individuals to record, store, and monetize their voiceprints through a crowdsourcing model.[2][3][4] The platform solves key challenges in speech-to-text accuracy, such as reducing word error rates (WER), handling biases across demographics like race, gender, age, and dialects, and personalizing models for diverse languages including German conversations.[1][2] With $915K in total funding, Atexto has shown early traction in the voice AI space, operating as a private company with offices in San Francisco, Mexico City, and a reported 34-145 employees.[1][3][5]
Atexto was founded in 2016 (with some sources noting 2019 activity), emerging from the need to make voice technology more accessible and accurate for global users.[1][3] The company's backstory centers on its founders' vision to act as "speech data hunter-gatherers," building a crowdsourcing platform to gather diverse audio data for training voice assistants and machine learning models.[2][4][5] Early traction came through proprietary tools for ASR (automatic speech recognition) comparison, allowing users to upload audio files and reference transcriptions to generate reports on WER, TER (text error rate including punctuation), and bias metrics.[2] Pivotal moments include partnerships like with Speechmatics to test conversational German speech and plans for US expansion via a free product tier ahead of a Series A raise, highlighting rapid evolution from transcription services to a full accuracy platform.[2][5]
Atexto stands out in the speech AI data market through these key strengths:
Atexto rides the explosive growth of voice AI and generative AI trends, where accurate speech recognition is critical for applications like virtual assistants, real-time translation, and bias-free conversational AI.[2][4] Timing is ideal amid rising demand for diverse, high-quality training data as models like large language models extend to multimodal voice inputs, addressing market forces such as data scarcity and regulatory pushes for ethical AI.[1][2] By democratizing labeled speech data through crowdsourcing, Atexto influences the ecosystem by accelerating model personalization for non-English languages and dialects, competing with firms like Snips, Allo-Media, and Corti while partnering with leaders like Speechmatics.[1][2]
Atexto is poised for expansion with its free product strategy targeting US markets and potential Series A funding, capitalizing on voice AI's momentum in autonomous systems and personalized assistants.[5] Trends like multimodal AI integration and stricter bias regulations will shape its path, amplifying demand for its ethical data tools. Its influence could evolve from niche data provider to key enabler in global voice tech, much like how specialized datasets propelled early computer vision breakthroughs—positioning Atexto to make speech understanding truly inclusive.[2][5]
