Clio Circle AI的封面图片
Clio Circle AI

Clio Circle AI

科技、信息和网络

Miami,Florida 1,032 位关注者

Predict outcomes and achieve desired goals - Top 100 Innovations - Nominated as HealthTech of the Year in USA

关于我们

Clio is an AI-powered platform that predicts decision-making processes by understanding deep psychological, emotional, and behavioral patterns. We help individuals and organizations uncover how they cope, the decisions they make, and how to overcome challenges. By learning to use emotions in your favor, you can improve outcomes, gain self-awareness, and access a mirror that guides you toward constant growth. What We Offer: ? Personalized Learning Paths: Tailored training programs based on emotional and cognitive needs. ? AI-Driven Insights: Real-time, actionable insights into strengths, growth areas, and decision-making. ? Well-Being Support: Tools to foster resilience and mental health. Applications: Education: Personalize curriculum to match individual learning styles. Human Resources: Deliver tailored feedback and boost productivity. Marketing: Create emotional segmentation for targeted campaigns. Customer Success: Personalize engagement to enhance satisfaction. Mental Health: Gain deeper self-awareness and foster well-being.

网站
https://cliocircle.ai/en/homeWP
所属行业
科技、信息和网络
规模
2-10 人
总部
Miami,Florida
类型
私人持股
创立
2024
领域
AI、Emotions、LLM、RAG、Education、HHRR、Marketing和Customer Success

产品

地点

Clio Circle AI员工

动态

  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    ?? Feeling Overwhelmed? Here’s How Clio Turned Stress into Success! Deadlines. Miscommunication. Burnout. Sound familiar? Alex and Jamie were stuck in the same cycle—overloaded with work, struggling to stay aligned, and feeling the pressure of an approaching deadline. ?? The Challenges: ? Workload felt unmanageable, leading to stress. ? Lack of structure caused inefficiency. ? Communication gaps made things worse. ? The Solution? Clio. Clio provided tailored strategies that transformed their collaboration: ? Smart Task Management – Clear responsibilities, structured workflows. ? Stress Reduction – Simple mindfulness techniques to stay focused. ? Better Communication – Quick daily check-ins to avoid roadblocks. ? Supportive Mindset – A culture of asking for help, not burning out. ?? The Results: ?? Stress reduced – they felt in control. ?? Collaboration improved – no more confusion. ?? Project success – they delivered high-quality work! If you’ve ever felt overwhelmed by work, it’s not just you. Clio can help. ?? Ready to transform how you work? https://cliocircle.ai/

  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    Sometimes sad, sometimes happy. Sometimes confused or scared. Most of the time away. At work, at life, at learning, at growing. Learning how we think and make decisions is fundamental for our quality of life and ensuring what best behaviors, thoughts and emotions I may use to accomplish my goal. Emotions are a tool for decision making, we must teach them to work with us and not against us. Visit us and log in to know yourself. https://lnkd.in/dR9enRJa

  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    Clio, Greek muse of history, use a continuous line to symbolize fluidity and connection, evoking a visual narrative that ties the past and present. Its minimalist design, with delicate and expressive features, aims to evoke emotions of trust, closeness, and elegance, reflecting the essence of the brand. The earthy and olive green tones, carefully chosen, convey warmth, empathy, and a connection to nature and humanity. This logo is not only a visual symbol but an emotional representation that invites the building of profound and meaningful bonds, aligned with the creativity, legacy, and sensitivity of Clio

  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    Next 10 - 20 years? Well, enough time!

    查看Ariel Andrés Sánchez Rojas的档案

    Predict outcomes and achieve desired goals (Top 100 Innovations, Nominated as HealthTech of the Year in USA) - CEO & Founder Clio Circle AI

    It's curious… Conscious #AI will likely first replace the working class, yet it was the working class that first developed social consciousness. What do Hegel, Thompson, and Sartre understand about Conscious AI that we do not? The first generation of AI focused on classification. The second generation was #AGI, the generative revolution. It can create music, produce images never seen before, and generate whatever users ask for. Now, we live in a world of personalized #LLMs. We are witnessing a new development in SEO that aligns with societal and market needs. Nevertheless, AI still can't replace us as a working force. So, what will the third generation of AI be? What will happen in the next 10-20 years? Most discussions suggest that AI will replace much of the labor force, with many methodological and mechanical tasks no longer performed by professionals or technicians but by software. But for this to happen, AI needs consciousness. We will need an AI that can create, reason, become self-aware, and understand emotions. It must be able to engage with people, argue with them, understand politics (power relationships), and determine the best interests for all. How do we get there? One of the first visible approaches is through LCBM (Long Content and Behavior Models). However, current LCBMs are flawed in understanding how individuals manage stress, emotions, and make decisions because their sentiment analysis is based on the overall emotional tone. We need models that can identify underlying psychological patterns to predict behaviors and emotions. Hegel and Sartre speak of "consciousness in-itself" and "consciousness for-itself." The former refers to a society where existence is defined by shared values; the latter refers to an individual who understands their own values and what they can contribute to society. E.P. Thompson, in his books The Making of the English Working Class and Customs in Common, shows how the working class and the first social revolutions emerged when groups of people united to change the status quo. Isn't it curious? Conscious AI will likely first replace the working class, yet it was the working class that first developed social consciousness.

  • Clio Circle AI转发了

    查看Ariel Andrés Sánchez Rojas的档案

    Predict outcomes and achieve desired goals (Top 100 Innovations, Nominated as HealthTech of the Year in USA) - CEO & Founder Clio Circle AI

    So.. how will they know how a human feel 1X ? How will they know what are the most profound desires of our heart? To finish a task anybody can do it, the question is not on optimization; the question is in how will we teach them to know how we as humans feel. Our dreams, our limits, our boundaries, our emotions. Humanoid robots are a reality, now we must teach them more about humanity. Clio Circle

  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    Personalized learning is being dominated by #AI models that are flawed in understanding how individuals manage stress, emotions, and make decisions;?they are unreliable as their sentiment analysis is based on overall emotional tone. This is a problem because it oversimplifies the ways individuals experience their #learning.Therefore, it leads to interventions that may be generic, ineffective, or misaligned with a student's actual needs, hindering their #growth, engagement, and #wellbeing.

  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    We are building the first LCBM (Long Content and Behavior Model) based on users' coping mechanisms to identify and predict how they make decisions, manage stress, emotions, and navigate challenging situations. Coping strategies reveal underlying psychological patterns, helping to predict future behaviors and responses in education, human resources, mental health, and marketing. With K-12 we have reduce bullying in a 60% and improve academic performance in 20%! Personalized learning is happening

    查看Ariel Andrés Sánchez Rojas的档案

    Predict outcomes and achieve desired goals (Top 100 Innovations, Nominated as HealthTech of the Year in USA) - CEO & Founder Clio Circle AI

    The deep learning revolution has enabled us to understand all types of data. The first wave (the first 10 years) was about classification in #AI; it involved classifying information to determine whether something was or wasn’t, allowing us to understand speech or images. This was the classification revolution, where raw input data was used to identify objects within that data. The second wave was #generativeAI, the generation revolution. This phase enabled AI to generate music, create images that society hadn’t seen before, and produce whatever the user requested. In the next five years, we will witness the third revolution: the "planning" AI revolution. This will involve AI being able to plan across different time horizons. For example, AI will be able to "create a product that solves (x)" or "generate a new (x)." It will need to conduct research, analyze market trends, understand what people are discussing, generate product images for comparison with other products, contact manufacturers, and negotiate with various parties. ---- / ---- So, what are the new functionalities that LLMs will need to understand? What must be created to allow our personal AI to negotiate with others? To understand how will they react to what it is creating? At Clio Circle we are building the first LCBM (Long Content and Behavior Model) based on users' coping mechanisms to identify and predict how they make decisions, manage stress, emotions, and navigate challenging situations. Coping strategies reveal underlying psychological patterns, helping to predict future behaviors and responses in education, human resources, mental health, and marketing.

  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    Reducing violence at K12 is not about philosophy nor theory. Is about reducing violent impulses through the understandment of student coping mechanisms. To create a safer school environment you need a framework that works throughout the time, where students are constantly learning. Conflict resolution is like learning mathematics, first you need to learn how to count to sum, and sum to multiply.

    • 该图片无替代文字
  • 查看Clio Circle AI的组织主页

    1,032 位关注者

    Bullying Prevention Framework 101 Reducing violence in school is about creating a scientific framework that, throughout observation, can help us identify who are our students, why they trigger and most importantly when they will trigger.

    • 该图片无替代文字
    • 该图片无替代文字
    • 该图片无替代文字

相似主页

查看职位