Imagine a journey—whether by car, on foot, or in flight—where you're continuously immersed in audio, music, sports, video, trivia, and puzzles, all perfectly aligned with your exact location. Over three years, MAPPO has developed a unique broadcasting platform unlike any other in the world, delivering location-based audio, video, games, and music. By leveraging advanced technology, including AI and engines like GPT and CLAUD, MAPPO’s system automatically generates limitless location-based content in any language and for any place on earth. These capabilities and the diverse content MAPPO offers position the company as a leading content provider for the global automotive, tourism, mapping, and aviation industries.
Quality Seals
Investments and Grants from the Innovation Authority, Leading Funds, and Private Angels:
Strategic Collaborations and Commercial Activities with Major Global Car Manufacturers:
CONTINENTAL Partnership: Collaborating with CONTINENTAL, the second-largest Tier 1 company globally.
New Agreements in Advanced Stages of Closing:
The last quarter of 2024 marks a significant milestone with two major business development initiatives expected to transform MAPPO’s future. Due to confidentiality agreements, the names of the involved companies cannot be disclosed at this stage, as these processes are expected to conclude by the end of the year:
International Recognition for Quality and Excellence:
Experienced and Highly Skilled Team:
Significant Growth: The company’s valuation has grown 40-fold since its inception.
The Need
Automobile manufacturers worldwide are in the midst of searching for new revenue streams. The decline in profits from electric vehicle sales and increased competition from Chinese and Korean manufacturers are putting significant pressure on automakers. This has led them to identify in-car software as a key future revenue source. Most manufacturers are investing hundreds of millions of dollars in developing solutions aimed at generating income from activities within the vehicle. For example, STELLANTIS (Peugeot, Fiat, Lancia, Citroën, etc.) has set a goal for 2030 in which 30% of its revenue will come from in-car services.
Another issue that needs addressing is the driving experience itself. Sabrina Yuan, Chief Strategy Officer of the Volkswagen Group, summarized the shared position of herself, the Chief Research Officer of Mercedes, and a senior executive at STELLANTIS in late June 2024: "Gaming and entertainment will play a central role in the driving experience of the future. We must offer a variety of applications to provide continuous value to our customers."
A further challenge arising from the statements and investments of automakers is how to utilize the free time of users in autonomous vehicles. Autonomous driving frees up significant attention and time that would otherwise be spent on driving, and the rapid technological advancements in this area create a new need: providing value to users' free time. Over the past three years, MAPPO has identified a growing demand from all automakers, without exception, to incorporate entertainment content into vehicle services. Automakers have signed agreements to integrate leading brands such as YouTube, TikTok, Disney, Facebook, Spotify, Amazon, and Booking, among others, to offer a rich and diverse entertainment experience for vehicle users.
The Solution
Over the past few years, MAPPO has been refining and perfecting its solutions to address the following key challenges:
How does MAPPO effectively tackle these three challenges?
The Technology
The company has developed the STORY CREATION MACHINE, a powerful AI engine capable of automatically generating content at a world-class level. The company believes there is no need to create new content but rather to leverage the wealth of material that has already been written, composed, and created throughout human history. Over three years, the company refined and tailored the engine to meet user needs. Today, the STORY CREATION MACHINE can generate content for a large city within a few hours. To date, the company has created 250,000 stories across 60,000 locations (POIs) in the U.S., Korea, Israel, and Europe. A POI is a specific location, such as a street, site, or address, and the stories include the history of the location, video clips, excerpts from books, trivia games, puzzles, interesting facts, information on cuisine, sports, and music.
The advanced capabilities of the engine and the speed of content generation enrich the travel experience, providing users with a wide range of content and adding relevant context to their journey. All content is delivered to users in audio format.
The company is currently developing several new features, such as real-time content creation, personalized content delivery based on user preferences, geographical location, news events, weather, and more. The concept of location-based content creation is not new, but all previous attempts relied on manual work that was costly and limited in scope. MAPPO has cracked this challenge with the help of a top-tier software team.
The search for Points of Interest (POI) is a key step in the content creation process of the SCM (Story Creation Machine). This process is the first stage in the production chain and is carried out before any additional content creation tasks. The search for POIs is conducted in the following steps:
Content Creation
The content creation process within MAPPO's SCM system leverages advanced language models (LLMs), such as GPT-4, to generate precise and high-quality content for users. The development team has invested significant efforts in ensuring the content's quality and accuracy, making sure it is not only engaging but also reliable and precise.
To achieve this, the company employs several strategies:
By utilizing advanced language models like GPT-4 and applying stringent quality control measures, MAPPO's SCM system is capable of producing informative, engaging, and reliable content for users worldwide.
Mappo for Automotive
Mappo’s solution for the automotive industry provides engaging and popular cultural content for drivers and passengers, based on geographic location and personal preferences learned from previously displayed and selected content.
Key Product Components:
Automotive Product
Mappo’s flagship product for the automotive industry is an application for Google’s dedicated in-car operating system, Android Automotive. It uses an algorithm to select engaging audio content in real-time based on location, preferences, and user history. Integration with AWS OpenSearch allows quick access to location-based content.
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Over 20 years of experience in the Israeli high-tech scene. Served as VP of business development in Elbit, Head of Sales at Motorola Israel, lead sales, held BD and senior R&D management roles, led Motorola Ventures Israel. Has served as a member of the board of directors of various start-ups and now serves as chairman of the board of several start-ups.
Holds an EMBA from Northwestern Kellogg, Physics & Mathematics degrees from Tel Aviv University and Electrical Engineering degree from the Technion – Israel Institute of Technology.
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Deddi is a former Member of Knesset and has expertise in many areas of digital content such as video, text, TV, and radio. Deddi was the founder and CEO of 360, a digital production company, which owned three cable channels and produced digital content for Israeli websites, including Ynet. After that, he was the founder of Learni, a software company that converted learning and teaching processes to digital content on mobile devices. Dedi holds a bachelor‘s degree in economics, a master‘s degree in political science (with honors) and studied for a doctorate in history. Deddi has extensive experience and in-depth knowledge of the automotive and infotainment industry, acquired during his years as CEO of Mappo. This experience includes connections with various parties in the industry, including car manufacturers and Tier 1 companies, as well as a thorough understanding of the needs, difficulties and methods of operation in this industry.
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Prof. Ariel Shamir served as dean of the Faculty of Computer Science at the Interdisciplinary Center, and as a post-doctoral fellow at the Center for Computational Imaging at the University of Texas in Austin, was a guest scientist at the research laboratories of Mitsubishi Electric in Cambridge MA (2006), and at Disney Research & MIT (2014). His areas of research and specialization include image and video processing, geometric modeling, computer graphics, manufacturing, visualization and machine learning. Prof. Shamir has extensive experience working with technological companies in the field of AI, including Paeon Medical, PrimeSence, Quantum Discoveries, Verisk, Donde Search, and more. Prof. Shamir has a bachelor‘s and master‘s degree in mathematics and computer science with honors and a Ph.D in computer science, all from the Hebrew University of Jerusalem.
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A technical manager in leading Hi-Tech companies, focusing on people, product and SW development. An experienced innovative leader who understands the bigger picture and the minute details. 15 years of experience with managing complex international projects employing advanced technologies in a global environment.
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Dr. Bar is an AI expert with about 20 years of experience and in-depth knowledge of a wide range of natural language processing (NLP) disciplines, including statistical machine translation, name entity recognition and digital-human applications. He has extensive experience in combining linguistic knowledge with sophisticated algorithmic AI, to extract the most important information from text. Dr. Bar currently serves as a lecturer at Tel Aviv University, Colman and IDC, where he teaches courses in computer science, digital humanities, machine learning and natural language processing. Before Mappo, Dr. Bar served as Chief Scientist at Basis Technology, a company that provides software solutions for text analysis, data retrieval, digital fraud detection and business intelligence. Previously, he was co-founder and CTO at Comprendi, a platform that turns big data into business insights, and CTO at Intuview, a company that developed an "artificial intuition" system for security uses. Dr. Bar has a PhD in computer science from Tel Aviv University, following his thesis on semantics and machine translation, titled "Producing paraphrases for highly biased languages, with a focus on machine translation”. He has a bachelor‘s and master‘s degree in computer science.
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Yens has 18 years of experience in the field of product management, including 7 years at Google, with expertise in UX and product design and processes in various platforms such as vehicles, mobile devices, internet/cloud platforms, and television. Before Mappo, Yens served as a product and UX manager at Amdocs, as a product manager at Waze and Google, and as a product manager for the automotive sector at Intuition Robotics. Before that, he held several positions as product manager and product team manager in several technology companies such as Fjorg, Kenshoo, and pixelpark. He has a bachelor‘s degree in digital communication.
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Yuval has 20 years of experience in managing marketing in various channels, business development, forming business partnerships, and building marketing, sales and go to market strategies. Before Mappo, Yuval held several senior positions at Gitam BBDO, the largest marketing firm in Israel, first as VP of Customer Service and then as joint CEO. Before that, he served as Deputy CEO at Y&R Israel, and Innovation Manager at La Mark vision.
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Danit is an algorithmist at Mappo, specializing in the development of learning models and NLP. She has experience in designing and developing algorithms for natural language processing systems, locating and implementing the suitable algorithms and tools for NLP tasks, and finding suitable datasets. Before Mappo, Danit served as an analyst at IDF’s 8200 unit. After her service, she worked as a developer of NLP algorithms at Melingo. Danit has a B.Sc degree in computer science and linguistics (Hebrew University) and is currently studying for a master‘s degree in NLP computer science (Bar-Ilan University).
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Itamar has a deep knowledge of various models and algorithms in the field of machine learning, neural networks and deep learning. As part of his role at Mappo, Itamar develops learning-based solutions for natural language processing algorithms. Before Mappo, Itamar served as a research assistant in the field of deep learning at the College of Management. He holds a bachelor‘s degree in electronics engineering.
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