July 3, 2025
Artificial intelligence has seen the fastest adoption curve of any new technology in history. Most of that impact, however, has stayed behind the desks of knowledge workers, helping them draft emails, summarize reports, and write code. What about the people working outside the office? The ones building our roads, bridges, manufacturing facilities, data centers and homes? I’ve spent my career working at the intersection of advanced technology and the physical world. While studying at Stanford, I joined a team optimizing the university’s central energy facility. This project would eventually cut campus emissions by 68%, reduce water usage by 18%, and save the school $520 million over time. I later spent nine years at Google, working as a product manager to develop and ship frontier AI-sensing systems designed to tackle real-world problems. What I’ve learned across these experiences is that the world’s most important problems are physical, not digital, yet these real-world problems are often the hardest for technology to address. Physical industries like construction, logistics, and manufacturing make up a major portion of the global economy, yet they’ve seen only a fraction of the value AI has delivered elsewhere. It’s not due to lack of interest. 89% of companies in these sectors plan to use AI, but most of them hit a wall when it comes to deployment. Why? Because the physical world is fundamentally harder for machines to interpret. Unlike chatbots, which rely on simple text for input, in construction and similar fields, text makes up a small fraction of the available data. The rest comes from messy, multimodal sensor inputs: video footage, machine telemetry, GPS data, weather stations, vibration monitors, and more. Each of these signal types speaks a different language. Traditionally, you’ve needed a bespoke software tool for interpreting each kind of signal, and you could only analyze them one-by-one, meaning much of that data would go to waste. This is the challenge, and the opportunity, that led me to co-found Archetype AI, where we are pioneering the new category of Physical AI. While large language models are designed to understand text from the web, physical AI expands on this with AI systems that can make sense of real-world sensor data to help solve real life problems. Predictions Based on Sensor Data
Our work with customers like KAJIMA, one of Japan’s oldest and most respected construction companies, is showing how AI can unlock the value of this data to make a measurable impact on construction projects. These are massive undertakings involving thousands of workers, tens of millions of dollars of equipment, and hundreds of millions of dollars in materials. Even small improvements can mean big benefits. On a multi-year project to widen a 100-year-old canal in flood-prone Niigata, KAJIMA project managers needed daily insight into construction progress and the causes of delays. When weather stops work, it can trigger cascading delays and cost overruns that add up to millions over the course of a project. Better predicting weather impacts, however, allows teams to quickly reallocate resources and revise schedules to stay on track. Using Newton, our foundation model for the physical world, we created a system with KAJIMA that could analyze and interpret sensor data directly from KAJIMA’s jobsite, including more than two years of weather logs and footage from 27 cameras (nearly 12,000 videos). Managers could then see visual summaries of daily operations, flag deviations from work plans, and compare productivity across weather conditions, all in a unified interface.\
Generational Shift
This kind of knowledge about how to navigate fluid jobsite conditions and make rapid, high-stakes decisions has historically lived in the heads of veteran engineers and project managers. As seasoned project managers retire, though, years of planning intuition and problem-solving insight depart with them. The construction industry is now facing not just a labor shortage, but a widening knowledge gap. When used by veteran teams, our Newton AI platform can learn from their expertise: why did a delay happen, what conditions caused a deviation, what distinguishes a normal idle period from a red flag? Over time, Newton can become a kind of institutional memory teams can build on. AI will not just preserve knowledge from construction teams, but ultimately augment them with new insights that weren’t previously possible. AI has an unprecedented ability to analyze and discover hidden patterns in vast volumes of sensor data. Imagine knowing not just that a weather front is coming, but which construction activities it will affect, which teams will be delayed, and which scheduling workarounds will be best for staying on track. Teams embedding physical AI in their operations can go beyond mere observation to predict and address challenges before they start. Construction has always been a complex high-stakes endeavor. But now, thanks to physical AI, we have the tools to help teams build smarter and faster than ever before.

Office AI May be Evolving Faster, But Physical, Sensor-Based AI is a Construction Game Changer

Programming, Speakers, and Exhibitors to Celebrate 40 Years of Innovation and the Future of Tech
The Ultimate Event for Sensors and Electronics Innovation Kicks Off June 24–26 with 100+ Speakers, 60+ New Exhibitors, and Can’t-Miss Experiences Built for What’s Next
June 03, 2025 12:00 ET
Questex LLC
NEW YORK, June  03, 2025  (GLOBE NEWSWIRE) --  Questex's  Sensors Converge , North America’s premier event for sensing, electronics, and embedded systems, is going all out to mark its 40th anniversary—unveiling an expanded lineup of programming, exhibits, and events designed to spotlight what’s next in tech while celebrating four decades of breakthrough innovation. Sensors Converge 2025 Highlights
All New Keynotes featuring Jaime Lien, Founder and Head of Machine Perception & Hardware at Archetype AI takes the main stage with a groundbreaking foundation model for sensor intelligence at scale and Brian Bircumshaw, Vice President of Product Engineering at Exo will share visionary insights from the frontier of medical sensing. 100+ Expert Speakers across AI, IoT, edge computing, system design, and more. Must-Attend Session “Tariffs, Trade Wars, and the CHIPS Act: Confronting Uncertainty in U.S. Electronics Policy” explores the shifting landscape of U.S. electronics policy. Pre-Conference Workshops offering deep dives into printed/stretchable sensors, MEMS, and Gen AI and Sensors. Startup Meetup & Pitch Sessions, where tomorrow’s breakthroughs meet today’s investors and innovators. Career Fair & Young Professionals Meetup, where rising talent meets hiring leaders and explore career advancements and connections. Women in Sensors & Electronics Panel and meetup to empower innovation through investment in women-led startups
Invitation-Only VIP Program curated 1:1 meetings and exclusive networking
40th Anniversary Party with live entertainment, industry-wide celebration, and limited-edition commemorative shirts. New Tech Breakfast - early morning showcase of the most promising new technologies and innovations
40 Under 40 Celebration honoring emerging leaders who are shaping the future of sensing and electronics, as a new part of the Best of Sensors Awards
On the Expo Floor:
More than 185 top-tier exhibitors, including 60+ new companies, will showcase cutting-edge solutions across sensors, hardware, chips, and AI-powered systems. Over 3,500 attendees are registered to date with more than 5,000 total expected to register. Attendance is currently pacing more than 20% ahead with 45% first-timers, signaling a fresh wave of ideas, talent, and partnerships across the entire tech ecosystem. “This year’s show blends deep tech and human connection like never before,” said David Drain, Show Director, Sensors Converge. “From high-impact content to curated networking and celebrations, it’s a full-spectrum experience—built for innovation, built for community, and built for the future.”
Don’t Miss the Celebration of the Year! Ready to experience the next 40 years of innovation—starting now? Visit  www.sensorsconverge.com  to learn more and register. For media registration, click  here . For exhibit or sponsorship opportunities, click  here .

Questex’s Sensors Converge 2025 Unveils Bold New Programming, Speakers, and Exhibitors to Celebrate 40 Years of Innovation and the Future of Tech

NEW YORK, June 03, 2025 (GLOBE NEWSWIRE) -- Questex's Sensors Converge , North America's premier event for sensing, electronics, and embedded systems, is going all out to mark its 40th anniversary—unveiling an expanded lineup of programming, exhibits, and events designed to spotlight what's next in tech while celebrating four decades of breakthrough innovation.  Sensors Converge 2025 Highlights  All New Keynotes featuring Jaime Lien , Founder and Head of Machine Perception & Hardware at Archetype AI takes the main stage with a groundbreaking foundation model for sensor intelligence at scale and Brian Bircumshaw , Vice President of Product Engineering at Exo will share visionary insights from the frontier of medical sensing.  100+ Expert Speakers across AI, IoT, edge computing, system design, and more.  Must-Attend Session “ Tariffs, Trade Wars, and the CHIPS Act: Confronting Uncertainty in U.S. Electronics Policy” explores the shifting landscape of U.S. electronics policy.  Pre-Conference Workshops offering deep dives into printed/stretchable sensors, MEMS, and Gen AI and Sensors.  Startup Meetup & Pitch Sessions, where tomorrow's breakthroughs meet today's investors and innovators.  Career Fair & Young Professionals Meetup, where rising talent meets hiring leaders and explore career advancements and connections.  Women in Sensors & Electronics Panel and meetup to empower innovation through investment in women-led startups  Invitation-Only VIP Program curated 1:1 meetings and exclusive networking  40th Anniversary Party with live entertainment, industry-wide celebration, and limited-edition commemorative shirts.  New Tech Breakfast - early morning showcase of the most promising new technologies and innovations  40 Under 40 Celebration honoring emerging leaders who are shaping the future of sensing and electronics, as a new part of the Best of Sensors Awards  On the Expo Floor  More than 185 top-tier exhibitors, including 60+ new companies, will showcase cutting-edge solutions across sensors, hardware, chips, and AI-powered systems.  Over 3,500 attendees are registered to date with more than 5,000 total expected to register. Attendance is currently pacing more than 20% ahead with 45% first-timers, signaling a fresh wave of ideas, talent, and partnerships across the entire tech ecosystem.  “This year's show blends deep tech and human connection like never before,” said David Drain, Show Director, Sensors Converge. “From high-impact content to curated networking and celebrations, it's a full-spectrum experience—built for innovation, built for community, and built for the future.”  Don't Miss the Celebration of the Year!  Ready to experience the next 40 years of innovation—starting now? Visit www.sensorsconverge.com to learn more and register.  For media registration, click here  For exhibit or sponsorship opportunities, click here  Stay connected with Sensors Converge on Facebook LinkedIn X Instagram, YouTube , and TikTok  About Sensors Converge  Sensors Converge ( www.sensorsconverge.com ), formerly known as Sensors Expo & Conference, got its start 40 years ago bringing together the design engineering community to network, share ideas, and define the future roadmap for the sensors industry. Sensors Converge is part of the Fierce Technology Group, a division of Questex, which also produces the Best of Sensors Awards, Fierce Electronics and Fierce Sensors, as well as daily content and newsletters on Fierce Electronics at www.fierceelectronics.com  About Questex  Questex helps people live better and longer. Questex brings people together in the markets that help people live better: hospitality and wellness; the industries that help people live longer: life science and healthcare; and the technologies that enable and fuel these new experiences. We live in the experience economy – connecting our ecosystem through live events, surrounded by data insights and digital communities. We deliver experience and real results. It happens here.  Media Contact  Charlene Soucy  Sensors Converge  csoucy@questex.com  Legal Disclaimer:  EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Questex's Sensors Converge 2025 Unveils Bold New Programming, Speakers, and Exhibitors to Celebrate 40 Years of Innovation and the Future of Tech

Archetype AI is a physical AI company pioneering a new form of technology that is capable of perceiving, understanding, and reasoning about the world. Pulse 2.0 interviewed Archetype AI co-founder, CEO, and CTO Dr. Ivan Poupyrev to learn more about the company. Dr. Ivan Poupyrev’s Background
What is Dr. Ivan Poupyrev’s background? Dr. Poupyrev said:
“I serve as the Chief Executive Officer and co-founder of physical AI company Archetype AI. I have over 20 years of experience in transforming research and development into groundbreaking products. Before co-founding Archetype, I was at Google’s Advanced Technology and Projects division, where I led the development of numerous cutting-edge technologies deployed in millions of products. I’ve also worked as a Principal Research Scientist for Walt Disney Imagineering Research Division and Sony Corporate Research Labs in Tokyo. Additionally, I contributed to the innovation efforts of renowned brands such as
Adidas, Levi’s, Samsonite, and YSL.”
“My academic journey includes earning an M.S. in Applied Mathematics and Computer Science from Moscow Airspace University, followed by a Ph.D. in Computer Science from Hiroshima University.”
Formation Of Archetype AI
How did the idea for the company come together? Dr. Poupyrev shared:
“The idea for Archetype was born out of a culmination of experiences and insights gained during my tenure as a computer scientist at Google’s ATAP division. Among other efforts, I spearheaded a team on Project Soli that invented, developed, and integrated a miniature radar chip into wearable devices for gesture recognition. While working on Soli, my team and I pioneered using deep neural networks to analyze complex multidimensional radar sensor data effectively and in real-time. Around this time, we started to see the emergence of large language models (LLMs), which sparked an idea: we could leverage these models to dramatically expand our analysis techniques to all kinds of sensor data, transforming it into a potent tool for exploring and monitoring vast amounts of real-world data. In other words, we could use the power of AI to better understand the physical world around us through sensor data. Recognizing the potential beyond Google’s confines, I, along with Brandon Barbello, Leonardo Giusti, Jaime Lien, and Nicholas Gillian, embarked on founding Archetype in April last year.”
Favorite Memory
What has been Dr. Poupyrev’s favorite memory working for the company so far? Dr. Poupyrev reflected:
“One of the most meaningful moments for me was speaking at TEDAI last year. It was surreal to be surrounded by so many brilliant thinkers and creators, all exploring the future of AI. What made it especially powerful was seeing our company’s demo video of our Newton foundation model played on the main stage – a proud moment not just for me, but for our entire team. Watching our vision come to life on the big screen, alongside global innovators and leaders in the space, reminded me how far we’ve come since launch.”
The panel, “Embodied Agents: The Robots are Coming,” was a chance to share our core belief:  AI shouldn’t be confined to screens or language. It needs to understand and engage with the physical world
around us. I spoke about a future where machines can perceive and learn from their physical environment, discover patterns, make decisions, and act meaningfully without constant human input. It brought me back to why we started this company: to build technology that senses, reasons, and ultimately helps us shape a better, more intelligent physical world.”
Core Products
What are the company’s core products and features? Dr. Poupyrev explained:
“The core product of Archetype AI is Newton, a first-of-its-kind physical AI foundational model, a pioneering solution capable of perceiving, understanding, and reasoning about the world around it in
real-time. It achieves this by learning about the physical world directly from sensor data – all kinds of sensor data. Not just cameras and microphones, but temperature sensors, inertial sensors, radar, LIDAR, infrared, pressure sensors, chemical and environmental sensors, and more. We are surrounded by sensors that capture rich spatial, temporal, and material properties of the world. By integrating this data
with natural language processing, Newton unlocks invaluable insights about the physical environment that were previously inaccessible. And unlike traditional AI solutions that rely on one-off approaches, Newton
offers a universal solution that is scalable, reducing both time and cost to market.”
Challenges Faced
What challenges have Dr. Poupyrev and the team face in building the company? Dr. Poupyrev acknowledged:
“Physical AI is a brand new category, and while that’s exciting, this novelty also poses challenges. At times, people can struggle to grasp the full scope of what Archetype AIoffers. Whereas a narrower, vertical solution is straightforward to explain, our solutions can be adapted for nearly any use case, which requires finding partners who are more creative and forward-thinking. Over time, we expect these pioneering customers and partners will help set the stage for others to follow.”
Evolution Of Archetype AI’s Technology
How has the company’s technology evolved since launching? Dr. Poupyrev noted:
“When we introduced Archetype AI, our vision was to enable machines to understand and reason about the physical world – an area traditional AI had largely overlooked. That vision became real with Newton, our foundation model built to interpret raw, real-time sensor data. It was the first of its kind and laid the groundwork for a new category we call physical AI. Since then, we’ve evolved from foundational intelligence to practical application. With the launch of Lenses, we’ve made Newton’s core capabilities accessible and adaptable. Lenses are purpose-built
applications that solve specific real-world problems – turning raw data into actionable insights. With launch partners like Kajima, the City of Bellevue, and Khasm Labs, we’re already seeing the impact of
Lenses across industries from reducing construction delays to improving traffic safety.”
“In short, we’ve moved from pioneering a new form of AI to delivering real-world value – while staying true to our mission to help humans better understand the physical world.”
Significant Milestones
What have been some of the company’s most significant milestones? Dr. Poupyrev cited:
“Our most significant milestone to date has been the introduction of Newton, our first-of-its-kind foundation model that understands the physical world. Newton marks the beginning of our mission to harness the potential of AI to address real-world challenges, empowering individuals and organizations with insights into their physical environments. By integrating multimodal temporal data from diverse sensors with natural language processing capabilities, Newton enables real-time perception, understanding, and reasoning about the world – ushering in a new era of transformative AI.”
“In the fall of 2024, we published research demonstrating that Newton can learn the laws of physics directly from sensor data – without being explicitly programmed with any prior knowledge of concepts like
gravity or energy. Instead, it observes raw measurements from the world around it, such as motion or temperature and learns how to predict outcomes across domains like mechanics, thermodynamics, and electromagnetics. The research offered a glimpse into what’s possible when AI learns from the world itself.”
“Most recently, Newton was nominated for a SXSW Innovation Award in the Artificial Intelligence category. At the conference, my co-founder and our Head of Design, Leonardo Giusti, shared our vision of AI no just as a tool, but as a design material – something we can use to shape and redefine the physical world.”
“That moment encapsulated how we see the future: a world where intelligence is embedded in the environment, helping us make better decisions in real time.”
Customer Success Stories
When asking Dr. Poupyrev about customer success stories, he highlighted:
““One of the most compelling examples is Volkswagen’s innovative use of our technology to enhance customer experience and safety. They’ve been conducting early tests of Archetype AI’s model, exploring scenarios well beyond autonomous driving. One experiment focuses on situational awareness, enabling the vehicle to anticipate and respond to human needs. By analyzing movement patterns, what you’re carrying, and who you’re with, Archetype AI’s technology could dynamically determine whether to automatically open the trunk for your bags and the passenger doors for your family, in addition to the driver-side door for you. This application reflects our goal of utilizing AI to derive human-centric insights from sensor data.”
“Building on Newton’s capabilities, we recently launched Lenses – a powerful interface that allows businesses to transform real-time, raw sensor data into customized, actionable insights. Lenses tap into Newton’s reasoning engine and apply its intelligence to specific problems or contexts, enabling companies to unlock real-time understanding from their physical environments.”
“We’ve already seen strong traction and success across a range of industries:
— Kajima is using Lenses to streamline construction project management and reduce delays. — The City of Bellevue is improving pedestrian safety through real-time traffic monitoring and response. These collaborations are a testament to how Newton – through Lenses – can be seamlessly adapted to meet the unique needs of each customer and drive real-world impact.”
Funding
When asking Dr. Poupyrev about the company’s funding details, he revealed:
“Our funding round was announced on April 5th. We successfully secured a $13 million seed funding round, with Venrock leading the investment. Other notable participants include the Amazon Industrial Innovation Fund, Hitachi Ventures, Buckley Ventures, Plug and Play Ventures, as well as several angel investors.”
Total Addressable Market
What total addressable market (TAM) size is the company pursuing? Dr. Poupyrev assessed:
“At Archetype AI, we aim to serve what experts refer to as the ‘trillion sensor economy.’ Any entity with sensor data, regardless of its specific application, is a company we aim to serve. In practice, this can
span advertising, automotive, healthcare, construction, and beyond. Early partnerships with companies like Volkswagen, where we conducted experiments using sensor data to predict a driver’s return, and with experts like Stefano Bini, a professor at UC San Francisco’s Department of Orthopaedic Surgery, who assisted in healthcare scenarios such as monitoring recovery after knee replacement surgery, among other collaborations, demonstrate our potential reach across various sectors.”
Differentiation From The Competition
What differentiates the company from its competition? Dr. Poupyrev affirmed:
“At Archetype AI, our differentiation lies in the unique focus of our technology. While most advancements in generative AI have concentrated on text and image analysis, they have largely ignored the complexities
of the physical world. We bridge this gap with our first-of-its-kind foundation model, Newton. This model is designed to understand and decode the hidden patterns of the physical world – patterns that are too intricate or dynamic for human perception – and is designed to be flexible enough to be deployed in the actual physical world operational environments.”
“Additionally, the breadth of our technology and focus on addressing a broader market are key to making us unique. Unlike competitors who often cater to specific use cases, our approach encompasses a much wider range of applications, making sensor data useful and functional for virtually anyone. This breadth allows Archetype’s models to learn from a diverse array of examples, providing a more powerful understanding of the physical world compared to narrower models. By offering a universal foundation model designed to scale across any sensor data, we reduce the need for costly and slow bespoke
solutions, streamlining time to market and minimizing expenses.”
Future Company Goals
What are some of the company’s future company goals? Dr. Poupyrev concluded:
“One of our primary goals this year is to scale access to Newton through the rollout of Lenses – a new class of AI applications that help organizations interpret the physical world in real time. We’re expanding our team and platform to support more customers across industries, enabling them to build and own custom Lenses that transform live sensor data into actionable insight. Early deployments have shown just how powerful this can be and is a key step toward our broader mission: to become the interpretation layer for the physical world and help people see what was previously invisible.”
Pulse 2.0 focuses on business news, profiles, and deal flow coverage.

Archetype AI: Interview With Co-Founder, CEO, And CTO Dr. Ivan Poupyrev About The Physical AI Company

Archetype AI は、イノベーションアワードのファイナリストに選出されたアメリカのPhysical AI領域のスタートアップです。SXSW会場では、物理的空間におけるセンサーデータを理解するための基盤モデル「Newton」のデモを行いました。また、共同創設者はSXSWのセッションにも登壇し、「AIが解決すべき課題はデジタルの世界ではなくフィジカルの世界に多数存在する」と主張し、自社プロダクトの有用性を強調しました。
・PoCを超えてAIをビジネスに活用する方法 by You.com CEO
最後に
要因としては、CESやWeb Summitなど他のテックイベントとの競争が激化していることや、SXSWが幅広いテクノロジーイノベーションの発信場所というより、クリエイティブな人々やインフルエンサーにとっての重要な拠点として認知される傾向が強くなっていることが考えられます。SXSWは今後、原点回帰し、よりコンシューマやアートに関連するテクノロジーにフォーカスした場所になっていくのかもしれません。
またイベント中に用意されたセッション約1,500のうち、AIをテーマにした内容が191あり、全体の12.7%がAI関連のものでした。他のテックイベントと比較して、AI一色というよりは、モビリティやXR、サステナビリティなど、コンシューマの関心も満たすような幅広いテーマが扱われていたように思いました。
毎年雰囲気が変わるSXSWですが、来年のテーマは何になるのか、予測しながら来年の開催を待ちたいと思います。

SXSW2025参加レポートVol.2ーー注目のキーノート・セッション

Soar Robotics develops connectivity solutions and applications for the mobility sector, focusing on Vehicle-to-Everything (V2X) technology. The company's offerings include tools for creating V2X applications that allow integration within the transportation industry. Soar Robotics serves sectors that require interconnected vehicle technologies and mobility solutions. It was founded in 2020 and is based in West Hollywood, California.

Soar Robotics

Infineon Technologies operates within the semiconductor industry and focuses on power systems and IoT. The company offers a range of semiconductor solutions including power management ICs, microcontrollers, and sensors, which support decarbonization and digitalization efforts. Infineon's products are used in sectors such as automotive, industrial automation, security, and smart home & building technologies. It was founded in 1999 and is based in Neubiberg, Germany.

Infineon Technologies

Google

walt disney imagineering

Sony

Advanced Telecommunications Research Institute International

Book of Scouting Reports: 2025’s AI 100

AI 100: The most promising artificial intelligence startups of 2025

Artificial Intelligence

Companies working on generative AI applications and infrastructure. 

Generative AI

AI 100 (2025)

AI 100 (All Winners 2018-2025)

Incubator/Accelerator - III

Archetype AI is focused on developing a foundation model that understands and interacts with the physical world. Their product, Newton, processes multimodal sensor data and natural language to provide insights and predictions about physical environments. Newton integrates various sensors and customizes applications with proprietary data for specific tasks. It was founded in 2023 and is based in Palo Alto, California.

Archetype AI

AWS Generative AI Accelerator

Amazon (NASDAQ: AMZN) is a technology and e-commerce company that operates across various sectors, including online retail and cloud computing. The company provides products and services, including an online marketplace for consumers and businesses, cloud computing solutions, and AI technologies. Amazon serves individual consumers, businesses, content creators, and developers. Amazon was formerly known as Cadabra. It was founded in 1994 and is based in Seattle, Washington.

Amazon

OpenAI offers artificial intelligence (AI) research and deployment that focuses on ensuring that AI benefits all of humanity. Its main offerings include developing AI technologies with a commitment to safety, alignment with human values, and broad societal benefits. Its products and services are designed to address global challenges and promote the equitable distribution of AI advantages. It was founded in 2015 and is based in San Francisco, California.

OpenAI

Meta operates in the social media and communication sectors. Its main offerings include social media platforms such as Facebook, Messenger, Instagram, and WhatsApp. Meta is also exploring immersive technologies like augmented and virtual reality. It was formerly known as Facebook. It was founded in 2004 and is based in Menlo Park, California.

Microsoft

Shutterstock (NYSE: SSTK) operates a global marketplace for commercial digital imagery. It consists of licensed photographs, illustrations, and videos that companies use in visual communications, such as websites, digital and print marketing materials, corporate communications, books, publications, and video content. The company was founded in 2003 and is based in New York, New York.

Shutterstock

Hugging Face is an open-source machine learning platform that focuses on artificial intelligence within the technology sector. The company provides a space for the machine learning community to develop models, share datasets, and host artificial intelligence (AI) applications, and offers enterprise solutions. Hugging Face was formerly known as Hugging Face. It was founded in 2016 and is based in Paris, France.

Hugging Face

Adobe provides digital media and digital marketing solutions across various industries. The company offers a range of creative, marketing, and document tools for individual creators and large enterprises to produce digital content and manage marketing campaigns. Adobe's products serve various sectors, allowing them to create and deliver digital experiences. It was founded in 1982 and is based in San Jose, California.

Adobe

Runway focuses on advancing the fields of art, entertainment, and human creativity through artificial intelligence. The company offers tools that enable the creation of visual and multimedia content, leveraging artificial intelligence (AI) to provide users with control over stylistic elements in their projects. Runway primarily serves the creative industries, providing solutions for filmmakers, artists, and storytellers. It was founded in 2018 and is based in Dover, Delaware.

Runway

Luma AI develops multimodal general intelligence within the creative technology sector. The company provides products for generating video and image content using artificial intelligence (AI) models, including text-to-video and image-to-video capabilities. Luma AI serves the media, entertainment, marketing, and advertising industries with its tools. It was founded in 2021 and is based in Palo Alto, California.

Luma AI

Midjourney is an independent research lab that focuses on the exploration of new mediums of thought and the expansion of human imaginative capabilities. The lab conducts exploratory research aimed at enhancing the cognitive and creative processes of individuals. It was founded in 2021 and is based in San Francisco, California.

Midjourney

Leonardo.Ai is a company focused on generative AI technology within the creative content production industry. It offers a suite of tools that enable users to generate art, illustrations, videos, and transparent PNGs using AI, as well as providing solutions to enhance marketing campaigns, graphic design workflows, and more. The company primarily serves sectors that require creative content, such as marketing, advertising, graphic design, and various forms of digital art. It was founded in 2022 and is based in Sydney, New South Wales. In July 2024, Leonardo.Ai was acquired by Canva at a valuation of $250m.

Leonardo.Ai

Reka AI focuses on the development of multimodal AI models within the artificial intelligence sector. Their offerings include AI models that can process text, code, images, video, and audio, and can be deployed on devices, on premises, or in the cloud. Reka AI's products serve various sectors that require AI reasoning and understanding. It was founded in 2022 and is based in Sunnyvale, California.

Reka AI

Black Forest Labs specializes in artificial intelligence with a focus on image generation technology. It offers a suite of products named FLUX.1, which includes various models for performance in image generation, adherence to prompts, and visual quality. The company's products cater to different user needs, from enterprise solutions to open-source tools for personal use. It was founded in 2024 and is based in Wilmington, Delaware.

Black Forest Labs

Decart operates in the artificial intelligence sector and provides AI models including a video-to-video model, an open world model, and a talk-to-video experience, which create and manipulate content in real-time. The technology is focused on user interaction in gaming and entertainment. It was founded in 2023 and is based in Wilmington, Delaware.

Decart

The multimodal AI developers market provides foundation models and APIs that process and generate content across multiple modalities including text, images, audio, and video. These companies develop transformer-based architectures and vision-language models that enable simultaneous understanding and generation across different data types. Solutions include text-to-image generation, image-to-video conversion, visual question answering, and multimodal reasoning capabilities. Key technologies encompass diffusion models, visual autoregressive modeling, and cross-attention mechanisms that allow seamless integration between modalities. Applications span creative content production, enterprise automation, virtual assistants, and AI-powered analysis tools.

Name	Work History	Title	Status
Ivan Poupyrev	Google, walt disney imagineering, Sony, and Advanced Telecommunications Research Institute International	Founder, Chief Executive Officer	Current
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Work History	Google, walt disney imagineering, Sony, and Advanced Telecommunications Research Institute International	Subscribe to see more		Subscribe to see more
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