Madrid-based startup Correcto is revolutionizing the world of Spanish language editing with its innovative approach to enhancing the quality of written Spanish. Recently securing $7 million in seed funding, Correcto aims to fill the gap in the market for a Grammarly-style auto-editing tool tailored for Spanish speakers.
Correcto was born out of the experiences of its founders, Abraham López Lee and Ignacio Prieto Mayorga, who noticed the absence of a dedicated platform for refining grammar and syntax in Spanish. Teaming up with CTO Antonio Triguero Noriega, they set out to create a tool that empowers Spanish speakers in expressing themselves with precision and fluency.
The initial version of Correcto relied on rules-based natural language processing and a proprietary database of Spanish phrases. It started as a Chrome extension, which received positive feedback and led to the expansion of a freemium web app. To date, Correcto has garnered 120,000 downloads and has approximately 70,000 active users. This growth showcases the demand for high-quality language editing tools in the Spanish-speaking world.
While generative AI models, such as OpenAI’s ChatGPT, have entered the scene, Correcto stands its ground by focusing on enhancing human-generated content rather than replacing it entirely. The founders argue that the text generated by AI models often falls short of expectations for Spanish speakers and may not be suitable for professional or scholarly purposes. Correcto provides real-time auto-editing and ongoing feedback for individual improvement, positioning itself as a provider of “augmented intelligence.”
Preserving personalization and the unique writing style of users is a key focus for Correcto. In an era dominated by machine-generated content, the startup believes that maintaining human contact, warmth, and personality in written communication sets individuals apart. While primarily targeting enterprises with its SaaS offering, Correcto offers a freemium version for individual users to gather valuable feedback for continuous improvement.
To differentiate itself further, Correcto has integrated OpenAI’s API to offer a quasi-generative writing feature called “Write for Me.” Users can specify context, audience, and preferred tone of voice, receiving more than just grammar and syntax corrections. The startup is also fine-tuning other large language models (LLMs) to provide a richer form of auto-editing tailored to the nuances of the Spanish language.
With more native Spanish speakers worldwide than native English speakers, Correcto taps into a vast market. While there is already demand for English writing support from non-native English speakers, Correcto sees a unique opportunity in Latin America. Many native Spanish speakers in this region may lack the education and confidence required to write professionally in their mother tongue.
Correcto’s top user bases are in Colombia, Mexico, Argentina, Spain, and the United States. While initially targeting professionals in fields such as editorial, communications, and marketing, the startup anticipates increased demand from Spanish businesses in various industries as the hype around AI continues to grow.
In conclusion, Correcto empowers Spanish speakers to become better writers while preserving their unique voices. By providing auto-editing features, real-time feedback, and leveraging generative AI models, Correcto aims to become the go-to solution in the Spanish writing support market. As the world continues to evolve, Correcto stands ready to help Spanish writers shine in an ever-changing landscape.
Definitions:
– Auto-editing: the process of automatically editing or correcting language errors in written text.
– SaaS: Software as a Service, a software licensing and delivery model where software is licensed on a subscription basis and hosted centrally.
– Generative AI: AI models that can generate new content such as text, images, or videos based on patterns learned from existing data.
– Large Language Models (LLMs): AI models that have been trained on extensive amounts of text data to improve their language understanding and generation abilities.
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