Purpose
Y-O-X is a research and development platform
leveraging AI to delve into and implement
creative and innovative solutions.
Whether you're a scientist, writer, coder,
mathematician, filmmaker, or any creative mind,
Y-O-X is your platform to explore, innovate, and solve
problems.
We empower individuals to craft their own paths, helping
you bring
your ideas to
life. Create groundbreaking products, and push the
boundaries of your field.
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Platform
Conduct Research and Development
Utilize multiple sources and programming languages to conduct comprehensive research and development, seamlessly integrating diverse tools and technologies.
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Create Actions and Automations
Design and implement actions, processes, and workflows to automate repetitive tasks, boosting efficiency and productivity.
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Generate Content
Utilize AI to create diverse content, including text, images, videos, music, and voice. From blog posts to custom soundtracks, Y-O-X delivers.
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Introduce Your Code
Integrate your code to enable tailored pipelines, allowing customization and refinement of processes to meet your specific needs.
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Work with Machine Learning Models
Seamlessly integrate with both open-source and proprietary machine learning models and code, in any programming language.
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Custom AI Models
Develop custom AI models or modify existing ones to fit your unique requirements.
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Interactive Chatbot
Engage with a sophisticated AI chatbot, similar to ChatGPT, to assist with inquiries, brainstorming, and support.
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Integration with Other Apps
Communicate and integrate Y-O-X with other applications to enhance your existing toolset.
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Collaborate and Share
Work solo or with your team, and share or publish your developments both internally and to the web.
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Monetize Your Work
Explore opportunities to monetize your developments, turning your innovations into revenue streams.
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Conduct Research and Development
Utilize multiple sources and programming languages to conduct comprehensive research and development, seamlessly integrating diverse tools and technologies.
Try it___ ↗
Create Actions and Automations
Design and implement actions, processes, and workflows to automate repetitive tasks, boosting efficiency and productivity.
Try it___ ↗
Generate Content
Utilize AI to create diverse content, including text, images, videos, music, and voice. From blog posts to custom soundtracks, Y-O-X delivers.
Try it___ ↗
Introduce Your Code
Integrate your code to enable tailored pipelines, allowing customization and refinement of processes to meet your specific needs.
Try it___ ↗
Work with Machine Learning Models
Seamlessly integrate with both open-source and proprietary machine learning models and code, in any programming language.
Try it___ ↗
Custom AI Models
Develop custom AI models or modify existing ones to fit your unique requirements.
Try it___ ↗
Interactive Chatbot
Engage with a sophisticated AI chatbot, similar to ChatGPT, to assist with inquiries, brainstorming, and support.
Try it___ ↗
Integration with Other Apps
Communicate and integrate Y-O-X with other applications to enhance your existing toolset.
Try it___ ↗
Collaborate and Share
Work solo or with your team, and share or publish your developments both internally and to the web.
Try it___ ↗
Monetize Your Work
Explore opportunities to monetize your developments, turning your innovations into revenue streams.
Try it___ ↗
Research Lab
Actionable AI Models
We are innovating in the realm of actionable AI by developing models that not only provide insights but also drive decision-making and actionable outcomes. Our approach emphasizes the creation of models that are not only accurate but also pragmatically useful in real-world applications.
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OS AI Models and Interpreters
Our research extends to the optimization and interpretation of AI models within operating systems. We aim to enhance the integration of AI within system architectures, improving both the efficiency and interpretability of these models.
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Code AI Models
We are exploring the intersection of AI and programming by developing models that can assist in code generation, debugging, and optimization. These models are designed to facilitate software development and improve coding practices through intelligent assistance.
Read the paper___ ↗
Biomimetic Models
Inspired by biological systems, our biomimetic models leverage principles from nature to design AI systems that exhibit adaptive and resilient behaviors. This approach seeks to replicate the efficiency and robustness of biological organisms in artificial systems.
Read the paper___ ↗
Maximizing Data Learning Paradigms
We are focused on enhancing the data learning paradigms to create smarter AI models that require less training data. Our research aims to improve the efficiency of learning processes, reducing the computational resources and time needed to achieve high-performance models.
Read the paper___ ↗
Agents and Multi-Agent Simulations
Our work involves developing sophisticated agent-based models and simulations that explore complex interactions among multiple agents. These simulations are crucial for understanding and predicting behaviors in dynamic and multi-faceted environments.
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Real-Time Learning
We are pushing the boundaries of AI by advancing real-time learning capabilities. Our research seeks to enable models that continuously adapt and learn from incoming data in real-time, ensuring they remain relevant and effective in rapidly changing contexts.
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Model Manipulation
We are exploring techniques for the manipulation and fine-tuning of AI models to achieve desired behaviors and outcomes. This includes developing methods for altering model parameters and structures to optimize performance, adapt to new tasks, and integrate with diverse systems.
Read the paper___ ↗
Actionable AI Models
We are innovating in the realm of actionable AI by developing models that not only provide insights but also drive decision-making and actionable outcomes. Our approach emphasizes the creation of models that are not only accurate but also pragmatically useful in real-world applications.
Read the paper___ ↗
OS AI Models and Interpreters
Our research extends to the optimization and interpretation of AI models within operating systems. We aim to enhance the integration of AI within system architectures, improving both the efficiency and interpretability of these models.
Read the paper___ ↗
Code AI Models
We are exploring the intersection of AI and programming by developing models that can assist in code generation, debugging, and optimization. These models are designed to facilitate software development and improve coding practices through intelligent assistance.
Read the paper___ ↗
Biomimetic Models
Inspired by biological systems, our biomimetic models leverage principles from nature to design AI systems that exhibit adaptive and resilient behaviors. This approach seeks to replicate the efficiency and robustness of biological organisms in artificial systems.
Read the paper___ ↗
Maximizing Data Learning Paradigms
We are focused on enhancing the data learning paradigms to create smarter AI models that require less training data. Our research aims to improve the efficiency of learning processes, reducing the computational resources and time needed to achieve high-performance models.
Read the paper___ ↗
Agents and Multi-Agent Simulations
Our work involves developing sophisticated agent-based models and simulations that explore complex interactions among multiple agents. These simulations are crucial for understanding and predicting behaviors in dynamic and multi-faceted environments.
Read the paper___ ↗
Real-Time Learning
We are pushing the boundaries of AI by advancing real-time learning capabilities. Our research seeks to enable models that continuously adapt and learn from incoming data in real-time, ensuring they remain relevant and effective in rapidly changing contexts.
Read the paper___ ↗
Model Manipulation
We are exploring techniques for the manipulation and fine-tuning of AI models to achieve desired behaviors and outcomes. This includes developing methods for altering model parameters and structures to optimize performance, adapt to new tasks, and integrate with diverse systems.
Read the paper___ ↗
Social reach
Impact Through AI-Driven Social Reach
Impact Through AI-Driven Social Reach
In addition to our core focus on innovation, Y-O-X is committed to expanding our impact through social reach by leveraging AI for educational and awareness purposes. Our platform harnesses the power of artificial intelligence to create and disseminate valuable educational content, enhance public understanding, and foster informed discussions on critical issues. By integrating AI into our outreach efforts, we strive to promote knowledge, drive positive social change, and empower individuals with the insights they need to navigate an increasingly complex world.
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Team
Juan M. Biaiñ - CEO / Founder
As CEO of Y-O-X, I’m driving the next wave of AI R&D by blending creativity and technical expertise. I led an AI Taskforce that developed frameworks for the viability and user applications of AI technologies for giants like Adidas and Samsung, and spearheaded teams at Telefonica, Exxon, Novartis, Syngenta, JP Morgan Chase, and Schlumberger on diverse computer-based projects, from DevOps to data recovery and security. Previously, I founded Junco Films, creating impactful films on privacy, hacktivism, human rights, and climate change. My work with brands like Adidas, Samsung, Brita, and media giants such as Vice Media, The Guardian, and Al Jazeera led to 70 films amassing over 100 million views.
Ina Vaduvescu - Director of Data
With a proven track record in data leadership, I’ve driven transformative strategies as Head of Data Analytics at Marshmallow and Elliptic, and shaped insights at Better.co.uk. My expertise spans from leading high-impact data projects at Geckoboard to pioneering advanced growth strategies. My educational background in Communication, Social Anthropology, and data science certifications empower me to turn complex data into actionable business solutions. At Y-O-X, I’m committed to harnessing data to propel innovation and growth.
Franco Zoia - Backend Developer
As a backend developer at Y-O-X, I specialize in creating scalable, efficient, and reliable server-side solutions that drive the success of our projects. With a strong foundation as an advanced Information Systems student at the National University of Luján, I bring expertise in programming languages such as Python, JavaScript, TypeScript, and PHP. My skills also extend to designing flowcharts and producing detailed technical documentation, ensuring seamless communication and process clarity within the team. Passionate about problem-solving and innovation, I am committed to delivering backend systems that meet the dynamic needs of Y-O-X and its users
Manuel Cabeza Gallucci - Machine Learning Engineer
As an ML Engineer at Y-O-X, I focus on solving complex problems with state-of-the-art technologies, pushing the company toward innovative solutions. My strong engineering background includes dual degrees from Argentina and France, as well as a master’s in Machine Learning. I’ve embraced various roles throughout my career, including building ML pipelines and developing embedded systems. My proficiency in software and ML development, coupled with a publication in an academic journal, reflects my dedication to the field. I am committed to pushing innovation forwards, striving to push boundaries.
Juan M. Biaiñ - CEO / Founder
As CEO of Y-O-X, I’m driving the next wave of AI R&D by blending creativity and technical expertise. I led an AI Taskforce that developed frameworks for the viability and user applications of AI technologies for giants like Adidas and Samsung, and spearheaded teams at Telefonica, Exxon, Novartis, Syngenta, JP Morgan Chase, and Schlumberger on diverse computer-based projects, from DevOps to data recovery and security. Previously, I founded Junco Films, creating impactful films on privacy, hacktivism, human rights, and climate change. My work with brands like Adidas, Samsung, Brita, and media giants such as Vice Media, The Guardian, and Al Jazeera led to 70 films amassing over 100 million views.
Ina Vaduvescu - Director of Data
With a proven track record in data leadership, I’ve driven transformative strategies as Head of Data Analytics at Marshmallow and Elliptic, and shaped insights at Better.co.uk. My expertise spans from leading high-impact data projects at Geckoboard to pioneering advanced growth strategies. My educational background in Communication, Social Anthropology, and data science certifications empower me to turn complex data into actionable business solutions. At Y-O-X, I’m committed to harnessing data to propel innovation and growth.
Franco Zoia - Backend Developer
As a backend developer at Y-O-X, I specialize in creating scalable, efficient, and reliable server-side solutions that drive the success of our projects. With a strong foundation as an advanced Information Systems student at the National University of Luján, I bring expertise in programming languages such as Python, JavaScript, TypeScript, and PHP. My skills also extend to designing flowcharts and producing detailed technical documentation, ensuring seamless communication and process clarity within the team. Passionate about problem-solving and innovation, I am committed to delivering backend systems that meet the dynamic needs of Y-O-X and its users
Manuel Cabeza Gallucci - Machine Learning Engineer
As an ML Engineer at Y-O-X, I focus on solving complex problems with state-of-the-art technologies, pushing the company toward innovative solutions. My strong engineering background includes dual degrees from Argentina and France, as well as a master’s in Machine Learning. I’ve embraced various roles throughout my career, including building ML pipelines and developing embedded systems. My proficiency in software and ML development, coupled with a publication in an academic journal, reflects my dedication to the field. I am committed to pushing innovation forwards, striving to push boundaries.
Careers
Join the Team: Explore the Future of AI
Join the Team: Explore the Future of AI
Embark on a groundbreaking journey where innovation meets exploration. Our broad team is composed of professionals from diverse disciplines—ranging from social anthropologists and physicists to journalists, machine learning engineers, Software Engineers, and filmmakers—each bringing a unique perspective to our mission.
Here, craftsmanship and entrepreneurial spirit are at the core of what we do. Whether you thrive working solo or as part of a team, you'll have the opportunity to rigorously analyze and forecast the implications of pioneering research ideas, guiding the responsible evolution of AI technology.
We are recruiting on an ongoing basis, seeking individuals with the passion, focus, and determination to contribute meaningfully to our work. If you are driven by a desire to explore the frontiers of technology and make a lasting impact, Y-O-X could be the place for you. Join us in pushing the boundaries of what’s possible and shaping a future where AI advances responsibly.
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