Mobileye’s business model revolves around its innovative software for Advanced Driver Assist Systems (ADAS) and autonomous driving. Their technology improves driving safety and efficiency, distributed through global automaker partnerships. Revenue primarily comes from selling EyeQ SoCs to OEM customers and strategic partnerships. Their successful public offering added significant value to the company.
Table of Contents
Foundational Layer
Advanced Driver Assist Systems: Mobileye is the leading supplier of software that enables Advanced Driver Assist Systems (ADAS).
Autonomous Driving: Mobileye’s technology supports the three pillars of Autonomous Driving: Sensing, mapping, and Driving Policy.
Partnerships: Mobileye has achieved partnerships to develop production-ready Fully Autonomous vehicles with BMW, Intel, and Delphi.
Value Layer:
Delivering value through advanced driver-assistance systems and autonomous driving technology.
Safety and Efficiency: Mobileye’s technology improves safety and efficiency in driving.
Innovation: Mobileye is known for its innovative approach in the field of autonomous driving and ADAS.
Distribution Layer
Efficient distribution and accessibility of Mobileye’s technology.
Automaker Partnerships: Mobileye’s products are integrated into vehicles from numerous leading automakers globally.
Software Stack System: Mobileye’s software stack system is integrated into vehicles, providing advanced driver-assistance features.
Financial Layer
Revenue generation and profitability through advanced driver-assistance systems and autonomous driving technology.
EyeQ SoCs: The majority of Mobileye’s revenue comes from selling its EyeQ SoCs to OEM customers through Tier 1 suppliers.
Partnerships with OEMs: Mobileye has strong direct relationships with the OEMs, contributing to its revenue.
Public Offering: Mobileye went public on October 26, raising $861 million, and valuing it at $17 billion.
Large language models (LLMs) are AI tools that can read, summarize, and translate text. This enables them to predict words and craft sentences that reflect how humans write and speak.
Prompt engineering is a natural language processing (NLP) concept that involves discovering inputs that yield desirable or useful results.
Like most processes, the quality of the inputs determines the quality of the outputs in prompt engineering. Designing effective prompts increases the likelihood that the model will return a response that is both favorable and contextual.
Developed by OpenAI, the CLIP (Contrastive Language-Image Pre-training) model is an example of a model that utilizes prompts to classify images and captions from over 400 million image-caption pairs.
OpenAI is an artificial intelligence research laboratory that transitioned into a for-profit organization in 2019. The corporate structure is organized around two entities: OpenAI, Inc., which is a single-member Delaware LLC controlled by OpenAI non-profit, And OpenAI LP, which is a capped, for-profit organization. The OpenAI LP is governed by the board of OpenAI, Inc (the foundation), which acts as a General Partner. At the same time, Limited Partners comprise employees of the LP, some of the board members, and other investors like Reid Hoffman’s charitable foundation, Khosla Ventures, and Microsoft, the leading investor in the LP.
OpenAI has built the foundational layer of the AI industry. With large generative models like GPT-3 and DALL-E, OpenAI offers API access to businesses that want to develop applications on top of its foundational models while being able to plug these models into their products and customize these models with proprietary data and additional AI features. On the other hand, OpenAI also released ChatGPT, developing around a freemiummodel. Microsoft also commercializes opener products through its commercial partnership.
OpenAI and Microsoft partnered up from a commercial standpoint. The history of the partnership started in 2016 and consolidated in 2019, with Microsoft investing a billion dollars into the partnership. It’s now taking a leap forward, with Microsoft in talks to put $10 billion into this partnership. Microsoft, through OpenAI, is developing its Azure AI Supercomputer while enhancing its Azure Enterprise Platform and integrating OpenAI’s models into its business and consumer products (GitHub, Office, Bing).
Stability AI is the entity behind Stable Diffusion. Stability makes money from our AI products and from providing AI consulting services to businesses. Stability AI monetizes Stable Diffusion via DreamStudio’s APIs. While it also releases it open-source for anyone to download and use. Stability AI also makes money via enterprise services, where its core development team offers the chance to enterprise customers to service, scale, and customize Stable Diffusion or other large generative models to their needs.
Gennaro is the creator of FourWeekMBA, which reached about four million business people, comprising C-level executives, investors, analysts, product managers, and aspiring digital entrepreneurs in 2022 alone | He is also Director of Sales for a high-tech scaleup in the AI Industry | In 2012, Gennaro earned an International MBA with emphasis on Corporate Finance and Business Strategy.
