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In the midst of summer, we’re excited to share our monthly updates! Prifina is opening new doors to showcase the potential of personal intelligence. Our “AI knowledge twin” solutions are gaining wider adoption among industry experts, educators, and influencers. We’ve also launched the new Personal AI Brand Ambassadors program, which is open to anyone interested in building a business around Prifina’s “Speak to AI” solution, empowering users to create their own AI knowledge twins. If you’d like to become a Prifina Brand Ambassador, let us know! Check out this July newsletter for more progress updates. Helping Educators Augment & Transcend Their Abilities “How does technological advancement make us all become more human?” Reid Hoffman asks in his recent book Impromptu. This question resonates deeply with us at Prifina, where we’re building tools that unlock new opportunities for individuals to share their unique knowledge. We’re excited to introduce Prifina AI to subject-matter experts and educators at schools, universities, and continuing education institutions, showcasing the enormous potential of “AI knowledge twins.” For educators, Prifina offers innovative ways to engage with their content—whether it’s publications, conference talks, course materials, or more. Our technology opens up new pathways for interaction, making knowledge more accessible and dynamic. Ready to share your expertise with the world? Sign up now and start creating your AI knowledge twin.  Prifina Brand Ambassador Program Prifina’s “Speak to AI” solution is attracting thousands of AI Knowledge Twin “Masters” - professional educators, keynote speakers, domain experts and influencers. To encourage our existing users to further promote their AI twins, we offer financial incentives on referrals via unique links to Speak to AI. If you would like to become Prifina’s Brand Ambassador, reach out to us directly. You can also sign up to get your AI twin and generate your own affiliate code:
AI Knowledge Twins: What Students Say We at Prifina are thrilled to share some exciting results from incorporating our "AI Knowledge Twin" solution in higher education! Educators at Vilnius University (Lithuania) adopted AI knowledge twins to empower teachers and professors, and discovered that: 📚 Professors were able to replace office hours with 24/7 accessibility. 🔎 AI twins facilitate easier access to knowledge. 👩🏼🏫 AI twins help educators reimagine the meaning of education in the age of AI. For students, incorporating AI knowledge twins led to: 🦉 Learning critical thinking and improving AI literacy skills. 🧘🏼 Reducing stress and anxiety. 🖌️ Engaging with subjects in a new and exciting way. For more insights and student feedback, please check this article. In the age of AI, you should own your voice data At Prifina, we believe that individuals should have full dominion and control over their own data. Data is a fundamental part of our digital identity and represents a modern form of luxury. A recent incident involving Hollywood icon Scarlett Johansson and OpenAI highlighted the inadequacy of existing laws in protecting individuals’ voices and the use of voice data. In our latest law review paper, we propose that a new social contract with technology is needed, emphasizing that: 💎 Your voice is an integral part of your digital identity. 🛄 You own your voice and your voice data. ✅ Whether you are a public figure or a private individual, any use of your voice or voice data must be based on your prior informed consent.  In our radar
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By Dr. Paul Jurcys (Co-Founder, Prifina) Happy Valentine's Day! On this day when the world celebrates love and connection, I would like to share a few thoughts about a rather new paradigm - our relationships with Personal AI assistants and “AI buddies” that are gradually becoming our daily digital companions at work as well as our private lives. I have no doubt that you have been increasingly relying on AI tools such as ChatGPT, or myriads of other AI assistants that helps solve various tasks, I wonder:
 Generalists vs. Personal AI Assistants
The emergence of Siri, Alexa, and ChatGPT reveals a fascinating landscape of technological advancements tailored to our personal, professional, and intimate lives. At the outset, I believe we should distinguish between “generalist AI assistants” and “Personal AI buddies.” Generalist AI assistants, such as ChatGPT and Alexa, designed to provide a broad range of services without accessing personal data. They excel in offering information, performing tasks like setting alarms, answering general queries, and controlling smart home devices through voice commands. Their strength lies in their versatility and the ability to serve multiple users without customization. On the other end of the spectrum, personal AI assistants take customization to the next level. Such assistant are able to tap into a wealth of your own personal data (e.g., data from wearables like Apple Watch or Oura Ring, your own Google Maps starredlocations, and payment histories from your personal credit card records) to offer highly personalized advice, reminders, and insights. These Personal AI buddies can be playful or very practical. Think of a My Fashion AI advisor that knows the styles I like, the shoes I have, as well as the colors I hate to wear. I can talk to my fashion AI advisor about the outfit I should wear for tonights date with my Valentine. In the wake of shortage of human experts (yes, we will never have enough doctors, coaches, or emotional support friends!), specialized AI assistants are becoming increasingly meaningful. Think of an Personal AI doctor who has access to my hearth rate data and sleep information from my wearables, and is capable to monitor different health metrics, suggest activities based on location and preferences, and predict certain events based on my own biometric data. It is not hard to imagine a personal AI finance advisor that knows my spending patterns and history, and can help manage my finances by tracking spending patterns, and nudging to save more wisely to achieve certain financial goals. Assistants According to Functions Performed Simple Personal Avatars help users represent themselves in virtual environments, such as video conferences or virtual reality platforms. They are designed to mimic the users appearance and mannerisms but do not necessarily require deep personal data access. Digital Twins is a step further in terms of their complexity. Digital twins utilize extensive data to simulate and predict outcomes in various scenarios. For instance, a digital twin could use health data from wearables to forecast potential health issues, enabling preventative care. Conversational Interfaces: AI assistants with conversational interfaces, such as ChatGPT, serve a wide array of problem-solving purposes. They can range from general assistants answering any query to specialized ones like AI nutritionists offering certain healthy diet advice or "intimate buddies" providing emotional support. These AI assistants rely on natural language processing to understand and respond to user inputs meaningfully. AI Agents Performing Tasks: These AI assistants are capable of executing specific tasks on behalf of the user, such as purchasing concert tickets or booking appointments. They might access personal calendars, preferences, and financial information to autonomously carry out tasks, streamlining the user's daily routine and ensuring engagements align with their interests and schedules. The Privacy Paradox in the Age of AI Creating personal AI assistants that genuinely understand and cater to our unique preferences and needs, requires a nuanced approach to data utilization and privacy. Let’s take a very practical illustration: what does it take to build a truly personal travel AI advisor? What specific user-generated data would be needed to build a truly personal travel AI? The answer largely revolves around integrating user’s own data from various sources that could help inform the AI to make truly personalized travel recommendations: Accessing Calendar Data: your personal AI travel advisor could benefit by integrating with your calendar data. This connection could offer insights into your available free time, potential holiday slots, and preferred travel durations. By understanding when you are planning to take time off, the personal travel AI advisor can suggest travel options that align perfectly with your schedule. Leveraging Google Maps Data: Further personalization could be achieved by analyzing your Google Maps data. This could include places you have frequently visited and enjoyed, restaurants that align with your culinary preferences, and even destinations you have marked as "want to visit." Such data could enable the personal AI travel assistant to craft travel suggestions that resonate with your past experiences and future aspirations, making every recommendation feel tailor-made. Incorporating Airbnb Booking History: Additionally, integrating our Airbnb booking history could provide the AI with a deeper understanding of your accommodation preferences and budgetary constraints. By analyzing the types of places you have stayed in the past, the personal AI travel advisor can tailor its accommodation suggestions to match your taste and financial comfort zone, further personalizing the travel planning process. However, the aspiration for such a highly personalized AI travel advisor encounters significant hurdles under current data privacy regulations and the reality of data silos maintained by tech giants. These barriers often prevent the seamless integration and utilization of data across platforms, limiting the potential for truly personalized AI assistants. To overcome these challenges, a radical reimagining of the data ecosystem is necessary, where individuals have sovereignty over their data. In this envisioned future, personal AI assistants operate directly on user’s own data, where data is private-by-default, ensuring personalization does not come at the expense of data privacy. This shift towards this more human-centric and user-controlled data ecosystem not only promises to enhance the personalization of AI services but also represents a critical step towards reconciling the competing interests of data utility and privacy. By placing individuals at the center, we can unlock the full potential of AI in personalizing experiences while safeguarding our right to privacy. Reimagining Consumer Experience in the Age of Personal AI’sIt’s time to recognize that we are rapidly entering an era dominated by personal AI assistants who will be seamlessly integrated into many aspects of our daily lives, including our most intimate spheres. It is also obvious that the way how we interact with apps and digital services is set to undergo profound transformation. Rather than having hundreds of apps, we will have one single portal with personal AI agents that have different specializations, and know us deeply (based on our own data). This transformation beckons us to ponder deeply about the nature of our future interactions with intelligent AI assistants and agents and the implications of such relationships on our emotional well-being and the essence of human connections. How Do We Build Trust with AI Companions? The foundation of any meaningful relationship, whether with humans or AI, hinges on trust. Therefore, understanding and building trust with these synthetic agents becomes paramount. Trust in such Personal AI assistants will not solely be about reliability or accuracy but will also encompass ethical considerations such as privacy, data security, and the AI's decision-making processes. How do we ensure these AI companions act in our best interests, and what mechanisms will be in place to safeguard our autonomy and privacy? Transforming Interactions and the Future of Intimacy The proliferation of AI agents will redefine our interaction with the world and each other. These AI companions could become our confidants, advisors, and caretakers, managing not just our schedules and health but also providing emotional support. The depth of these interactions raises questions about the nature of companionship and the role of AI in fulfilling human needs for connection and empathy. Will these sophisticated AI agents be able to discern and adapt to our emotional states, offering comfort and advice akin to a human friend or therapist? Relying on AI for emotional support and companionship introduces a paradigm shift in the understanding of intimacy. As personal AI assistants become more integrated into our lives, it's crucial to consider how this will shape our perceptions of love, friendship, and emotional support. Will AI companions complement human relationships, offering support where human availability is limited, or might they supplant traditional human connections in some aspects? Implications for Human Connection and Love The advent of emotionally intelligent AI raises profound questions about the future of human connection and love. As we form bonds with AI entities capable of understanding and responding to our emotional needs, it's imperative to reflect on how these relationships will coexist with human-to-human connections. Will the convenience and consistency of AI support erode the value we place on human imperfections and the unpredictable nature of human relationships? Or, conversely, could the presence of AI companions prompt a deeper appreciation for the unique aspects of human connection that AI cannot replicate? The journey into a future with personal AI asisstants invites us to embrace the possibilities and opportunities of improving our daily lives. The vision of such AI-powered future also requires us to critically assess and navigate the challenges that lie ahead. Let us embrace this new reality and work together in shaping the future. In December 2024, SITRA, the Finnish Innovation Fund, honored Prifina as one of the most innovative consumer data companies. We are thrilled to receive this recognition and remain dedicated to reshaping the personal data economy for the better.  Below is the English translation of a special article about Prifina which appeared on SITRA's webpage on December 11, 2023. Prifina returns consumer data from major corporations back into people's control. Prifina has built a solution where individuals manage their personal health and fitness data, for example, through their own data clouds. At the same time, it offers opportunities for all companies to build applications where they don't have to manage user data but instead access users' personal data clouds. Prifina's goal is nothing less than a revolution in personal data management. For instance, when a person goes for a run wearing a heart rate monitor, producing personal data, currently, that workout information typically remains in the ownership of the software company providing the health app. In Prifina's vision, the data doesn't remain with the app provider but is stored in the user's personal data cloud. So, the running app only comes to work and, once the workout is done, it leaves the measurement results to the customer. Prifina offers a place for this data as a service. "The architectures, features, and pricing of major cloud services have evolved so much that it is possible to build infrastructure where people retain and manage their data. Applications simply use the data stored in people's personal data clouds," says Valto Loikkanen, Co-founder and Platform and Usability Architect at Prifina. Prifina: Back to the Future"Before, applications primarily ran on our computers, and we managed the associated data ourselves. Then the data moved to user accounts on the internet. An assumption arose that software companies owned user account data and used it in their business as they pleased." Things can be different, and many would benefit from it. According to Loikkanen, many companies would gladly relinquish data management during tightening data protection regulations and data breaches, focusing on their core business. Many people are also concerned that their personal health or driving data ends up with international data giants. The opportunity to control it is appealing. Real-time and comprehensive insights into one's well-being"We want consumers to derive value from their data primarily for themselves. Only after that comes data-driven business," says V. Loikkanen from Prifina. Value can be generated in many different ways. Health and fitness data collected, for example, through location information and sensors can offer a comprehensive view of a person's activities, such as their well-being. Other types of data and use cases from various life areas, such as an automatic diary, can also be integrated into the solution, as discussed below. Prifina's AI connected to the data cloud can provide recommendations based on the data to improve well-being or achieve fitness goals, for example. The more Prifina knows about its owner, the more detailed recommendations the user receives. Prifina encourages third-party developers to create new services using individuals' data that operate privately within users' data clouds. If they wish, data cloud owners can share their data for free or for a fee outside their own data cloud for the use of companies or researchers if it makes sense to them.  The data ownership revolution begins in 2024If in the future, apps visit the data, app marketplaces will also change. In Prifina's app store, consumers can buy apps built on their personal data. Consumers pay Prifina for the use of their own data cloud and for the apps to their developers, as they do today. Of course, there are also free apps available. The app provider, in turn, pays Prifina a commission for using the marketplace. "There are so many opportunities associated with personal data ownership and utilization in software development that we cannot and do not want to come up with all of them ourselves. That's why it is essential that anyone can build and publish various services on top of Prifina's data clouds," says V. Loikkanen. So when will the data ownership revolution become visible and audible to consumers? According to Loikkanen, Prifina has been prepared determinedly but without haste. At the turn of the year, Prifina will launch a diary app that automatically writes diary entries based on phone location data, pictures, and the calendar, which the owner can then enrich. In the initial stage, the diary app's data will remain on the phone, but gradually Prifina will start offering data cloud as a location for the data. The goal is that people understand the benefits of the service and become interested in other apps developed around the idea of data ownership. So, the diary app is the first directly consumer-focused step in Prifina's revolution. In other respects, Prifina has been developed in cooperation with various app developers and companies for a long time. The plan is to launch the service as a whole when there are more apps available that illustrate the use of personal data between different apps. Prifina aims for a data ownership revolutionPrifina, soon to be launched on the market, is a solution that offers consumers data clouds. With these, they can manage their personal data. Prifina enables individuals to combine various data sources, such as health and fitness data, to gain a more comprehensive picture of their well-being.
Additionally, Prifina offers a marketplace for software companies where they can sell applications that do not store people's data on company servers but use individuals' own data clouds in their operations. Consumers can purchase these apps for their use. What they're saying about Prifina's solution "We want to offer our users a unique user experience where our skiing products, such as boots, have sensors that, based on their data, allow us to provide, for example, digital skiing instruction and improve safety on the slopes. Through collaboration with Prifina, we avoid significant investments and costs related to data management. With Prifina's help, we can demonstrate that we respect our customers' privacy." -Hans-Martin Heierling, Founder, Swiss skiing brand Heierling" By James Donck, Prifina In today's rapidly evolving technology landscape, the great outdoors isn't left behind. It's fascinating how tiny, cost-effective sensors are revolutionizing outdoor gear – from backpacks and hiking boots to tents and sleeping bags. These innovations are enhancing safety, comfort, and connectivity for outdoor enthusiasts, ushering in a new era of smart adventuring. Let’s explore some of the ways sensors are augmenting outdoor gear and the opportunities this presents for outdoor brands to deliver more value to their customers.  Image credit: vecstock Smart Backpacks: A Game Changer in Load Management Weight distribution is crucial for comfort when carrying a backpack over long distances. By embedding load cells and pressure sensors at multiple points along the shoulder straps and back panel, backpacks can now detect weight and shifts in load. The data can provide hikers with real-time feedback when packing their bags and adjustments needed on the trail. Brands like Osprey Backpacks integrate such technologies in high-end backpacks to analyze how the bag carries weight; as a result, such new technologies can help prevent back or shoulder strain. There’s potential to connect load data with GPS coordinates to correlate terrain changes with weight shifts. By linking load data to a mobile app, backpackers can receive tailored advice for rest stops or repacking based on their personal profiles. Next-Gen Hiking Boots: Your Personal Trail Analyst Injury prevention is critical for serious hikers and thru-hikers. Sensors integrated into hiking boots and insoles can unobtrusively perform gait analysis to detect imbalances or irregular walking patterns. A variety of sensors, such as pressure sensors, accelerometers, and gyroscopes, enable products from companies like Digitsole and Underfoot Athletics to provide insights into aspects like weight distribution across the feet, the impact of varied terrains, the development of micro-fractures, and overall fatigue levels during a hike. When sensor data is made actionable through mobile alerts and post-hike analysis, it allows hikers to optimize insoles, adjust techniques, take timely breaks, and aid recovery. This helps prevent painful, activity-limiting injuries in the wilderness. Brands that tap into sensor-enabled hiking shoes and boots have the opportunity to build customer trust and loyalty.  The Rise of Smart Tents: More Than Just Shelter Pitching tents in unpredictable outdoor conditions presents challenges regarding comfort and safety. Environmental sensors, such as occupancy, motion, light, pressure, and temperature sensors, embedded in tents can help address many of these issues. Occupancy sensors enable automatic adjustments to lighting, heating, ventilation, etc., based on tent usage patterns. Passive infrared (PIR) motion sensors serve as security systems, sending alerts when unexpected motion is detected around the tents. Smart Wool, an outdoor apparel brand, already offers a smart tent equipped with occupancy, temperature, and light sensors. These sensors allow for the automatic opening and closing of windows, turning interior lighting on or off, and even automatically starting a morning coffee maker! Location-tracking sensors in tents are also highly valuable, assisting campers in finding their way back after a day's adventures. As consumer IoT continues to gain traction, purpose-built shelters are increasingly becoming equipped to keep outdoor enthusiasts secure and comfortable. Personalization: The Frontier of Outdoor Gear Sensors integrated into backpacks, footwear, and shelters provide invaluable usage data, and combining this with biometric inputs measured via smartwatches or fitness trackers offers more personalized experiences. Here are some compelling use cases: Optimizing Gear Settings with Health Correlations Rather than relying on generic occupancy thresholds for HVAC adjustments in smart tents, your body temperature, captured by your fitness band, can trigger highly customized heating or cooling tailored to your specific needs and comfort levels. Analyzing gait abnormalities from hiking boot sensors, along with stress and fatigue levels from your watch, can determine whether terrain changes or physiological exhaustion are causing these anomalies. This enables selective course corrections. Implementing such closed-loop systems requires ecosystem integration, but the value generated for users is immense. Location History Enhances Safety Features Your smart backpack, knowing that taking the northern trail in Yosemite previously elevated your heart rate due to stress, now can use this data, synced from your Apple Watch, for real-time guidance. It can automatically suggest less intense routes and rest stops by cross-referencing sensor data with your physiological history and biome profiles. Similarly, a history of respiratory issues or heart conditions can provide context for any irregularities in vitals detected via wearables while on remote trails. This could automatically activate emergency contacts or guide first responders more quickly, potentially saving lives.  Image credit: vecstock Fueling Discovery with User-Specific Insights
Analyzing multi-parameter data history across gear sensors and wearables enables ultra-personalized recommendations for outdoor activities suited to your biomechanical and physiological traits. Platforms like OutdoorVoices already provide assessments that match user profiles with ideal outdoor activities. In the future, expect detailed sensor data streams to offer inputs for highly customized assessments on a larger scale. Privacy and Consent: The Backbone of Smart Gear While the depth of insights unlockable via sensor and wearables fusion is undoubtedly powerful, users must trust brands with personal data access. Consent flows and privacy-preserving data handling is thus mandatory before orchestrating multiple data streams seamlessly. Looking Ahead: The Boundless Potential of Sensor-Integrated Gear The future looks bright for sensor technology in outdoor gear. Humidity sensors in backpacks could prevent mold, while smart sleeping bags might adjust insulation based on the occupant's needs. As these technologies become more affordable, brands have a unique opportunity to create extraordinary experiences for their customers, deepening connections and distinguishing themselves in a competitive market. In a world where smartphones have replaced maps, cameras, and flashlights, it’s not a stretch to envision a future where outdoor gear is equally smart. The question for brands now is whether to lead this revolution or play catch-up. The future of outdoor adventuring is smart – and it's already here. “Whoever wins the personal agent, that’s [going to be] the big thing. Because you will never go to a search site again, you’ll never go to Amazon again” - Bill Gates By dr. Paul Jurcys In the very near future, each of us will our personal AI assistants for every aspect of our lives. Each of us will have our personal AI doctor, personal AI coach, personal AI nutritionist, or digital assistant that will help us organize our calendars, schedule events, and purchase items on our behalf. Such AI-powered assistants will augment our abilities and help get rid of time-consuming tasks, and focus on things that matter most.
 Buzz In the Market In the past few months, there has been quite a bit of excitement about the possibility of building truly personal AI:
A massive investment in InflectionAI could be seen as an attempt to stave off any potential competition and secure dominance in this rapidly emerging domain. Shortage of Experts Today, we are unfortunately facing a remarkable shortage of experts. With over 8 billion people on Earth, there are a mere 10 million doctors. Teachers struggle to spend enough time on direct interactions with every student in the class. On a personal level, we often lack someone equally knowledgeable or passionate about our favorite topics. In times of grief, suffering, and emotional pain, the desire for a close companion to provide advice and understanding becomes ever more acute. This is where the transformative power of AI comes in. In the near future, countless individuals, potentially everyone, will be able to augment their personal capabilities with our own personal AI assistants. The trajectory toward universal access to intelligence is clearly mapped out: we can expect that any person with access to the internet and a hand-held device will have access to the same expert advice from a doctor, an educator, or any other specialist, all through their personal AI. 2 Ways to Build Personal AI As technology continues to leap forward at ever-increasing speed, personal AI assistants are evolving to become more sophisticated and versatile. There are two paths of bringing AI superpowers to humans: A top-down approach: after the release of ChatGPT and other generative AI tools, we are witnessing an influx of various personal AI assistants that are supposed to hello us find information, summarize text, or generate images. The top-down approach is rooted in creating software applications - personal AI assistants - that are marketed as tools to help us solve various daily tasks and assignments or offer us a companion, a buddy that is available 24/7. Think of InflectionAI’s Pi, Midjourney, Dalle, and countless others. However, most of our essential tasks are rooted in the physical world: we need to eat, sleep, and and go to the bathroom. As cheap sensors are being integrated in our wearable devices and environments around us, individuals have tools and ability to track personal biological clock - we start living quantified lives. If you are a runner, you probably have a fitness tracker to measure your running distance and heart rate, as well as recovery rate. Also, our cars track hundreds of data points (e.g., acceleration, braking, engine performance, and outside factors). Scientists around the world are building assistive robots to help us to recover from injuries or learn important skills. These sensor-derived data sets also lead to the development of AI-powered applications that help optimize different aspects of our lives. This sensor-data-AI path resembles a bottom-up approach to building personal AI. Data Eats the World, But How to Access Data? AI assistants such as ChatGPT, or PI, are amazing in answering our general questions and performing general tasks. However, if you ask anything personal, something related to yourself, they stumble. Let’s see what responses we get to the question “How did I sleep last night?”:  How come!? Isn’t it odd that if you wear Apple watches that track our activity, sleep and process various biometric data, Siri - an AI assistant built by Apple for Apple’s products - is not able to answer such a simple question?! Eventually, every company building personal AI will face the challenge of connecting the personal AI to the user’s own data. To build a truly personal AI, we need not only general knowledge from publicly available sources and research repositories, we also need to bring this general, publicly available knowledge and correlate it with the specific data of each individual. In other words, to build a truly personal AI, Ai assistant must be able to access to the user’s personal data. Otherwise, the AI assistant will be a generalist, not a personal:  This is where Prifina’s human-centric approach to data comes into play: with Prifina’s user-held data model, it is possible to bring those personal AI assistants to each individual and run those personal AI assistants “on top of” each user’s own data, privately. In Prifina’s personal data ecosystem, each individual user connects their data from personal data sources to their own data “vault”, where data is collected and unified. AI-powered apps and assistants run in each individual users’ data environment. Each individual user’s data is private by default. A human-centric approach to data opens vast opportunities for the use of personal data: not only personal AI assistants can answer the question about last night’s sleep, but ML and LLMs can offer new possibilities for personalization and automation of tasks and generate new value for individuals. Multi-Agent Interface So how many personal AI assistants can there be? And how many AI assistants can one person handle? As humans, we have limited time and a limited attention span. Our guess is that each of us will be really interacting with 5, 7 or 10 digital agents (similar to a manager at a corporation who has 7-10 directly responding employees). The image below illustrates the universe of digital assistants in the human-centric environment:
 These digital agents will also vary in their expertise, capabilities, and proximity to the individual human being. It is likely, that people will have their own AI doctors, AI coaches, and AI-powered shopping assistants who will help to achieve specialized tasks.
Some of them will operate in the “inner orbit” - on top of the user’s own data, privately, while other AI assistants will be generalists, and will not have access to user’s own data. In this multi-agent environment, one possible scenario is that each individual will have one primary and preferred assistant - we can call it “my personal AI.” But how will those digital agents and assistants interact with one another? What technological infrastructure is needed to make them talk to one another? Assume you feel unwell and suffer from an upset stomach, which personal AI assistant do you go first? You might go to your “own private AI” and ask “Why do I feel pain in my stomach”? Your own personal AI may refer you to your personal AI doctor. In this kind of scenario, it will be important to make sure that the initial inquiry made by you to your own personal AI is automatically transmitted to other agents. This will ensure that your AI doctor will already know your concern and will be able to continue the conversation. Such communication between AI-powered agents can only be possible in the human-centric data environment, where all the AI experts run on the user’s side. Sharing sensitive data outside of the user’s own personal data environment is not optimal. In fact, such communication between agents would be impossible in the old, enterprise-centric data ecosystem where data is locked in separate silos. Paths Forward As we stand on the entrance gates to the age of AI, the future seems quite exciting: how will our lives change when each of us will be able to tap into the potential of our Personal AI? The integration of Personal AI agents into our daily lives is not a question of if, but when and how. To bring this vision into reality, a shift in thinking is required. We need to embrace a human-centric data paradigm where our Private AI is operating on our side, on our own data, privately. At Prifina we are building an infrastructure to empower each individual with such “steamengines of the mind”; we want to empower developers to build Personal AI applications for people to augment each individual’s creative potential. Join us! In the heart of Bern, Switzerland, an innovation and future conference - The 2291 Festival - recently provided a platform for Prifina to showcase its remarkable progress in collaboration with its Swiss partner companies. This event brought together visionaries, industry leaders, and venture capital firms, highlighting the transformative potential in the areas of sensors, personal data and AI. Prifina, along with Heierling, known for their high-end ski boots and equipment, took center stage at the event. We unveiled next-generation of ski boots and helmets that collect skiing data and seamlessly integrate it into their personal data cloud provided by Prifina. Users can then access applications that leverage this data, such as an AI ski coach, providing personalized insights and recommendations.  Markus Lampinen, Hans-Martin from Heierling, and Jouko Ahvenainen Markus Lampinen and Jouko Ahvenainen took the stage to deliver thought-provoking talks during the event. Their focus centered on the fundamental question of personal data ownership and control, emphasizing that it is not only about owning the data but also enabling ordinary individuals to access applications built on their personal data. “Empowerment with personal data is crucial for individuals to lead healthier and more fulfilling lives.” - Jouko Ahvenainen Prifina's current primary focus revolves around leveraging data and applications to enhance people's well-being based on health and wearable data. By harnessing the power of personal data, Prifina aims to provide individuals with the tools they need to lead healthier lifestyles and make informed decisions about their well-being. Throughout the event, there were compelling discussions on the role of innovation in improving the lives of people. It was acknowledged that while technological advancements have the potential to revolutionize various aspects of our lives, there are also concerns about how companies and governments may misuse personal data for control. In this context, the consensus was that giving individuals better control over their personal data can empower them to lead better, healthier lives. Switzerland, known for its commitment to individual freedom and empowerment, has always held personal data control in high regard. The Swiss people recognize the importance of safeguarding personal data and ensuring that individuals retain the rights to make decisions regarding their own information. It is this shared belief that has facilitated a fruitful collaboration between Prifina, Heierling and Code Fabric, as they work together to redefine personal data ownership and control.
Prifina’s collaborations with Swiss companies shows the immense potential with user-generated personal data. By combining our expertise in technology, skiing equipment, and personal data management, we are pushing the boundaries of what is possible. This represents a unique opportunity for other consumer brands seeking innovative approaches to their product offering that have a positive impact on people's lives. Our general takeaway is that the future with user-generated personal data looks promising. Our vision of empowering individuals through personal data control resonates strongly with the Swiss people and the global community at large. Stay tuned for more updates as Prifina strives to revolutionize the way we experience sports and personal data, ultimately enhancing our lives in ways we never thought possible. On May 3rd, 2023, the Prifina team with its co-organizers at New York Life, hosted a panel on how AI-driven innovation and advances will impact consumer experiences. The event was sold out and we thank all attendees who braved the spontaneous rain in San Francisco to join in person. We’re grateful for such lively audience participation and brilliant questions for our panel, which included Mickey McManus, BCG, Malavica Sridhar, Founder, Northstarre, Markus Lampinen, Co-Founder and CEO, Prifina and moderator Amber Wang, Women in AI / Cerebral Valley.  The panelists together raised various observations and addressed the trends in the current market:
 With such a boom in generative AI, personal data and private use of personal data become fundamentally important. Not only because of privacy concerns but also because of representation; if apps and services are built utilizing individual models that represent the users, we can truly deliver private AI that helps us achieve what we want in life. Like an audience member asked: which human activities should we trust to AI and which should we want to perform ourselves? Questions like these are at the very heart of the debate, but should it not be our choice as individuals based on our preferences? After all, studies show that outsourcing tasks and chores you do not wish to do increases your overall satisfaction in your life. Thank you all for the wonderful debate and we cannot wait to see you soon to showcase more of what Personal AI can deliver, privately, to each of us. By Paul Jurcys If you could ask your personal AI assistant anything about your personal life what would you ask? What would you like to know about yourself based on your own data? Based on my current level of restfulness, if I want to have a productive day tomorrow, how should I prepare for it? Based on my data about this week’s exercise records and routines, what improvements can I make to increase my performance next week? The current ChatGPT boom has spawned many new generative and general intelligence startups utilizing different large language models. These models are trained on public data sources and can answer various questions based on this training data set. However, they have limitations as it comes to answering more personal questions and with privacy concerns, there are opportunities to build new AI models on personal data frameworks like Prifina’s user-held data model. In this post, we explore how personal applications and “AI” solutions can be realized on a more individualized basis.  Can Everyone Train Their Own AI? We are at the turning point where the human-centric technology ecosystem becomes real and individuals actually control their own data. Federated cloud architecture and edge computing technologies have now matured to empower individuals with their data. Prifina’s human-centric data model refers to a data infrastructure that is built around an individual consumer who can collect data from various personal data sources in real-time and have actual ownership and control of such data. This human-centric approach to personal data is built on the principle that an individual’s personal data should be private by default and not shared with anyone unless the user decides otherwise. The idea of individuals owning their data is not new. In the early days of the internet, entrepreneurs working at up-and-coming companies thought that user’s data should belong to them. Being able to access, collect and own your personal data from different sources is the major condition for individuals to train their personal AI.  Prifina's User-Held Data Ecosystem Prifina’s user-held data platform has two distinct features. First, each individual user has their personal data cloud where they can collect data from various data sources: personal sensors, wearables such as smart watches, fitness or sleep trackers, and online data sources (e.g., the location from Google Maps, Amazon shopping history, activity while using social media services, apps, etc.). In Prifina’s ecosystem, each personal data cloud has an embedded software robot that unifies the data regardless of the format it comes to the personal data cloud. Second, developers and companies can use Prifina’s open-source tools to build new applications that “come to the user” and run locally (i.e., “on top of” user-held data). Instead of sending data to centralized siloed environments of iOS or Android or any other company providing a sensorized device, individuals in Prifina’s user-held data environment can benefit from full ownership and control: personal data is private by default.  Prifina’s user-held data model opens new opportunities with personal data: developers can easily build apps without having to solve complex data (back-end) problems. Prifina’s approach to personal data frees developers from the hefty burden of complying with data privacy regulations because apps run locally (“on top of” user-held data) and generate value from personal data on the user’s side (instead of being centralized in a service provider’s platform). Understanding Your Data with Personal AI If you think about your own personal data - data from your personal fitness trackers, smart watches, personal IoT devices at home, and all apps on your phone - are you actually able to benefit from all the data you have generated over the years? At Prifina, we start from the premise that each individual should have a master copy of their data. In our user-held data ecosystem, individuals can connect all their data sources and create their own personal data hubs. Once you have all your personal data in one place (your personal data cloud), you can start exploring it: your personal AI assistant will answer questions about your own personal data (not random public data that has no relevance to you). For example, you can ask your Personal AI assistant how well you slept last night, or after finishing your daily morning exercise, you can ask your personal AI assistant about your performance today and what circumstances during the past few weeks contribute to better or work physical condition. Here are some more specific examples of Personal AI assistants that We at Prifina built to empower individuals with their own personal data: Example #1: My personal avatar At Prifina, we built a personal avatar that takes into account data from an individual's personal fitness devices and, based on various biomarkers, appears differently. So, if you were staying well hydrated, got enough sleep and also managed to exercise, your avatar appears fit and energetic. However, If you worked long hours today and did not have enough rest last night, the avatar will appear sluggish and unhappy. You can also interact with your personal avatar and ask: “what is my readiness level now?” “How can I improve my productivity today?” The avatar will give you a response based on your own personal, and if relevant, some public data (e.g., weather conditions during your recent activity, etc.).  Example #2: My Data Diary Imagine if you could connect multiple data sources to your daily calendar: your wearable fitness devices, sleep trackers, home IoT devices and your online accounts (such as Spotify or Netflix, etc.) and that you talk to your data diary, what would you ask? For instance, you could ask your data diary about your readiness level before and after the meeting, or how focused you were before the meeting. Based on your wearables and other data, you could also ask your personal data diary about the music or surrounding circumstances that make your day more productive, wouldn’t that be great? What else would you like to explore with your intelligent data diary? Empowering Developers: Liberty. Equality. Data. Prifina’s open developer platform empowers developers to build applications that can correlate different data sources - both private and public. At Prifina, we are gradually releasing resources for developers to build on top of user-held data and to integrate various machine-learning tools into apps. These tools help developers and brands build applications to help individuals get adily value from their data - to interact with their data and ask anything. Consider all possible use cases where individuals could benefit from their personal data: health and wellbeing, emotional state, connected home and offices, optimizing daily routines, and so on.  In Prifina’s personal data infrastructure, personal AI tools can be embedded in any application. Such personal AI assistants could take different forms: a simple chat window or voice-to-text where you can ask your personal AI any question and get an answer based on your personal data and publicly available data.
Most importantly, Prifina’s user-held data model ensures the privacy and safety of personal data because every user’s data is private by default. Welcome to the human-centric data ecosystem, powered by Prifina! |
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The User-Held Data CompanyPrifina is a venture-backed data platform based in San Francisco dedicated to enabling Personal AI Twins and personal data ownership. Prifina empowers individuals to collect, combine, and leverage their personal information, giving them full control over their digital lives. Consumer brands and developers can create AI agents and apps that deliver personalized customer experiences while ensuring users retain ownership and control over their data.
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