Meet the team behind Bitext
Bitext brings together computational linguistics, product engineering, enterprise software experience and strategic market expertise to build multilingual NLP infrastructure for real-world AI systems.
Our team has spent years working at the intersection of language technology, text analytics, machine learning and enterprise software. That experience shapes how Bitext helps organizations prepare multilingual text for search, RAG, entity extraction, knowledge graphs, document intelligence and AI workflows.
Product engineering
Enterprise NLP
AI infrastructure
Global software markets
Antonio Valderrábanos, Ph.D.
CEO & Founder
Madrid / San Francisco
Antonio has extensive experience on how to use Deep Linguistic Analysis to solve business problems in the area of text analysis. His current focus is on how to exploit linguistic knowledge to improve machine learning and AI engines in order to make them smarter and easier to train. Chatbots are an excellent example of this trend, where deeper linguistic knowledge is the middleware needed to create the next generation of conversational interfaces. He is also interested in new areas where computational linguistics can be revolutionary: Risk Management, Financial News Analysis, Lead Generation, etc.
After getting his start in R&D labs with IBM and Novell, he then founded Bitext, a startup specialized in developing the most accurate multilingual text analysis engines in the market. Bitext works for some of the largest software and hardware companies in the world and is dedicated to solving challenges around text analysis and to figuring out how linguistic middleware can help in business scenarios.
Daniel Benito, Ph.D.
Chief Product Officer
Madrid, Spain
Daniel is the technical leader behind Bitext’s product architecture and engineering roadmap. He manages the planning, design and execution of Bitext’s multilingual NLP technology, ensuring that the company’s linguistic capabilities are transformed into robust, scalable software for enterprise use.
As Chief Product Officer, Daniel leads the development of Bitext’s Deep Linguistic Analysis platform and coordinates the technical direction of the company’s core projects. His work connects computational linguistics, software engineering and product strategy, making him central to how Bitext turns deep language analysis into practical infrastructure for search, RAG, entity extraction, document intelligence, knowledge graphs and multilingual AI systems.
Tony Jimenez
Chief Strategy Officer
Austin, TX
Tony is responsible for all aspects in our Global Marketing areas. His mission as Chief Strategy Officer is to develop the brand marketing strategy, communications, social media, public relations, analyst relations, demand generation and events.
Equipped with over 15 years of experience as Vice President Marketing / Marketing Director including Marketing Communications, Inbound Marketing Branding, Business Strategy, Product Launches, and Strategic Initiatives. His strongest attributes, apart from being insightful to customer needs & objectives, are connecting and forming lasting business relationships.. Of all the adventures he has taken in this technological world, the biggest has been moving to Silicon Valley, where the best products are born. He has been there for 5 years. He is a Senior Consultant and participates in building big companies like Lightbee, Muwom, Ya.com (T-online) Terra Networks.
Andrew Paulsen
Advisor
San Francisco, CA
Andrew has advised Bitext since 2018, bringing deep experience in enterprise software, embedded technology partnerships and the North American technology market. His perspective has helped Bitext connect its multilingual NLP capabilities with the needs of large software companies, AI platforms and product teams that require robust language technology at scale.
As an advisor, Andrew contributes strategic guidance on market positioning, ecosystem development and enterprise adoption. His background with global technology companies and independent software vendors gives Bitext valuable insight into how linguistic infrastructure can be embedded into real-world products, from multilingual text analytics to AI-driven applications and predictive language systems.
Luis Caloto
VP of Engineering
Madrid, Spain
Luis is a software engineer with extensive research experience in natural language processing applications. Since the late 80s, he has been involved in defense industry projects in NATO and has led numerous research and development projects in the fields of multimedia, telecommunications, electronic design, and defense and security electronics in several Spanish companies. He also has extensive experience as project manager in European-Commission funded projects.
Luis has a Bachelor’s Degree in Computer Science from the Universidad Politécnica de Madrid.
MADRID, SPAIN
Camino de las Huertas, 20, 28223 Pozuelo
Madrid, Spain
SAN FRANCISCO, USA
541 Jefferson Ave Ste 100, Redwood City
CA 94063, USA