Archives: Press Releases

Synthesis AI’s synthetic data platform provides on-demand, photorealistic and perfectly labeled image and video data for ML developers building computer vision models

SAN FRANCISCO, Feb. 14, 2023 /PRNewswire/ — Synthesis AI, a pioneer in synthetic data technologies for computer vision, today announced the company has joined the Amazon Web Services (AWS) Partner Network (APN). The APN is a global community of AWS Partners that leverage programs, expertise, and resources to build, market, and sell customer offerings. Synthesis AI underwent the comprehensive AWS Foundational Technical Review (FTR) to certify the enterprise readiness of its synthetic data solutions and platform.

Synthesis Humans and Synthesis Scenarios, Synthesis AI’s two core products, represent broad and deep synthetic data offerings. Synthesis Humans offers over 100,000 diverse identities and is ideal for generating detailed facial and body images and videos at a fraction of the cost of human-labeled data. Fortune 50 companies use the platform today to support ID verification, driver monitoring, and AR/VR/avatar applications. Synthesis Scenarios is the first synthetic data technology to enable fine control of complex, multi-human simulations in various environments supporting security, smart city, and autonomy use cases.

“Synthetic data solves fundamental cost, efficiency and accuracy issues with today’s human-labeled data approaches,” said Yashar Behzadi, CEO and Founder of Synthesis AI. “We are excited to join the AWS Partner Network and continue to help our customers bring sophisticated computer vision models to production for emerging applications.”

As an APN member, Synthesis AI joins a global network of 100,000 Partners from more than 150 countries working with AWS to provide innovative solutions, solve technical challenges, win deals, and deliver value to mutual customers. 

To learn more about Synthesis AI and its synthetic data solutions, please visit https://synthesis.ai/.

About Synthesis AISynthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable and ethical computer vision models. Through a proprietary combination of generative AI and cinematic CGI pipelines, the Synthesis AI platform generates vast amounts of perfectly labeled images and videos at orders of magnitude increased speed and reduced cost compared to current human annotation approaches. Current customers include Fortune 500 companies, top smartphone manufacturers, enterprise security, automotive, global technology, and leading AR/VR/metaverse companies.

SOURCE Synthesis AI

The company will enable automobile manufacturers and suppliers to build in-cabin and ADAS ML models with improved safety outcomes while protecting consumer privacy

SAN FRANCISCO, March 15, 2023 /PRNewswire/ — Synthesis AI, a pioneer in synthetic data technologies for computer vision, today announced its enhanced capabilities to provide synthetic data for a wide range of Automotive and Autonomous Vehicle (AV) use cases, including Driver Monitoring Systems (DMS), Occupant Monitoring Systems (OMS), and Advanced Driver Assistance Systems (ADAS). Through Synthesis Humans and Synthesis Scenarios, an ecosystem of automotive OEMs, providers and suppliers can now simulate driver and occupant behavior for in-cabin car environments to build more capable perception systems. The company has also launched Diverse Human Drivers, an open dataset for driver monitoring Machine Learning (ML) model training, letting CV developers experiment with synthetics.

Prompted by increased demand to improve driver safety, and by the need to meet Euro NCAP and NHTSA regulatory requirements, DMS, OMS, and ADAS are becoming commonplace, as the technology can dramatically reduce collision rates resulting from distracted driving. However, car manufacturers face significant roadblocks due to the lack of real-world data to train, test and validate the development of these systems. There are significant hurdles with privacy and safety as developers require training data from dangerous scenarios (e.g., drowsiness, distracted drivers, etc.). Synthetic data will be essential in overcoming these challenges.

Synthesis AI’s enhanced automotive offerings will help car manufacturers, suppliers and the software companies that service them, achieve public safety, consumer privacy and regulatory goals. Manufacturers can now use synthetic data to build models for driver state assessment (e.g., sleepy), activity recognition (e.g., talking on the phone, hands off the wheel), experience personalization, occupant monitoring, driver-pedestrian interaction, and gaze estimation.

The latest product advancements build on the company’s history of helping ML practitioners in the automotive space develop performant models that produce outcomes as good as or better than those produced using real-world data exclusively – in a fraction of the time, at a fraction of the cost. In particular, the company’s recent product enhancements enable multi-passenger simulation for driver and occupant monitoring, an expansion of activity models to cover key use cases (e.g., falling asleep, talking/texting on the phone, eating/drinking, not wearing seat belt, etc.), broader support for RGB and NIR sensor systems, and the ability to model driver and occupant interactions with the vehicle.

“DMS, OMS, and ADAS require a detailed understanding of human behavior, state and the in-cabin environment,” said Yashar Behzadi, CEO and Founder of Synthesis AI. “The new synthetic data capabilities have been developed from working closely with leading companies in the space over the last three years. The advanced feature set enables companies to create targeted data for DMS and OMS applications driving safer and more robust systems.”

Synthesis AI works with automobile, AV manufacturers and tier-1 suppliers, continuing a rich history of supporting automotive ML engineering. By combining generative AI and cinematic CGI pipelines, the company’s latest platform enhancements build on a multi-year journey of expanding the use of synthetic data in the automotive industry.

To learn more about Synthesis AI’s ADAS, Driver Monitoring and Occupant Monitoring Systems, please visit https://synthesis.ai/applications/driver-monitoring/.

About Synthesis AISynthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable and ethical computer vision models. Through a proprietary combination of generative AI and cinematic CGI pipelines, the Synthesis AI platform generates vast amounts of perfectly labeled images and videos at orders of magnitude increased speed and reduced cost compared to current human annotation approaches. Current customers include Fortune 500 companies, top smartphone manufacturers, enterprise security, automotive, global technology, and leading AR/VR/metaverse companies.

SOURCE Synthesis AI

Powered by generative AI and cinematic computer graphics technologies, Synthesis Humans and Synthesis Scenarios enable the simulation of complex multi-human data with unprecedented levels of detail and control

SAN FRANCISCO, Nov. 1, 2022 /PRNewswire/ — Synthesis AI, a pioneer in synthetic data technologies, today released Synthesis Humans and Synthesis Scenarios, two new products that represent the broadest and deepest offerings of human-centric synthetic data. Through a proprietary combination of generative AI and cinematic CGI pipelines, the Synthesis platform can programmatically create vast amounts of perfectly labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches.

The new offerings serve as an extension of the company’s data generation platform and aim to make the creation and implementation of synthetic data more seamless than ever before, further cementing Synthesis AI’s position as a leader in the synthetic data space.

“Synthesis Humans and Synthesis Scenarios are a natural evolution in our synthetic data roadmap,” said Yashar Behzadi, CEO and Founder of Synthesis AI. “Synthetic data powered by generative AI is now recognized as a more efficient paradigm for building computer vision AI. Our new products will enable the development of more sophisticated multi-human AI models essential for emerging applications.”

Synthesis Humans enables Machine Learning (ML) practitioners to create more sophisticated production-scale models, providing them with over 100,000 unique identities and the ability to modify dozens of attributes, including emotion, body type, clothing and motion. An intuitive user interface (UI) allows developers to quickly create labeled data, and a comprehensive API supports teams that prefer programmatic access and control.

Synthesis Scenarios is the first product that allows for fine control of complex, multi-human simulations across a varied set of environments for ML model development. Industry-leading software, consumer, Augmented Reality (AR), Virtual Reality (VR), autonomy, teleconferencing,  and metaverse companies currently use the Synthesis AI platform to build more robust and performant models. With the new capabilities in Synthesis Humans and Synthesis Scenarios, Synthesis AI supports ML model development for a broad range of existing and emerging applications, including:

ID Verification: Synthesis Humans provides diverse data in a fully privacy-compliant manner, mitigating privacy and regulatory constraints associated with obtaining facial data. The feature will allow for more robust and less biased ID verification models for use cases spanning smartphones, online banking and contactless ticketing, among others.

AR/VR/Metaverse: AR/VR and metaverse applications rely on photorealistic capture and recreation of humans in the digital realm. Developing avatars and creating these core ML models requires vast amounts of diverse, labeled data. Synthesis Humans provides richly labeled 3D data across the broadest set of demographics available. Synthesis Scenarios supports the development of multi-person tracking and interaction models.

Virtual Try-On: New virtual try-on technologies are emerging to provide immersive and personal customer experiences. Synthesis Humans offers 100,000 unique identities, dozens of body types, and millions of clothing combinations to enable ML engineers to develop robust models for human body form and pose.

AI Fitness: Synthesis Humans delivers vast amounts of detailed human body motion data, including body types, camera positions, environments and exercise variations, to catalyze the development of new AI fitness applications.

Driver and Passenger Monitoring: Recent EU regulations prompted car manufacturers, suppliers and AI companies to build computer vision systems to monitor a driver’s state and help improve safety. Synthesis Humans can accurately model drivers, key behaviors and in-cabin environments to enable the cost-effective and efficient development of more capable models.

Teleconferencing: With the surge in remote work, employees depend on high-quality video conferencing solutions to maintain productivity. Leading companies are leveraging Synthesis Scenarios to train new ML models to improve video quality and the overall teleconferencing experience.

Pedestrian Detection: Safety is paramount to the deployment and widespread use of autonomous vehicles. The detailed, multi-human simulation provided by Synthesis Scenarios enables the development of more precise pedestrian detection and behavioral understanding for safe and reliable performance.

VFX: Creating realistic characters and facial movements for visual effects requires complex motion capture systems and facial rigs. Synthesis Humans provides the diverse video data with detailed 3D labels needed to develop core AI models while also automating much of the labor-intensive process of hand animation, background removal and effects animation.

Security: Synthesis Scenarios enables the simulation of complex multi-human environments, including home, office and outdoor spaces, allowing for the cost-effective and privacy-compliant development of access control and security systems. 

“Synthesis AI continues to innovate in synthetic data. The company’s platform is the first to bring generative AI together with computer graphics pipelines, helping their customers create photorealistic, diverse and perfectly labeled training data,” said Florian Leibert, General Partner and Co-Founder of 468 Capital. “The new products represent a significant advancement, enabling computer vision teams to build ML models more cost-effectively across more applications and industries.”

Synthesis Humans and Synthesis Scenarios will be available in November 2022. To learn more about synthetic data and the ways Synthesis AI is transforming the market, please visit https://synthesis.ai/synthetic-data-guide/. To discuss your ML project, please email meet@synthesis.ai to speak with a synthetic data specialist.

About Synthesis AI

Synthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable and ethical computer vision models. Synthesis AI enables the world’s most advanced AI companies to build more powerful and ethical computer vision. Current customers include Fortune 50 companies, top smartphone manufacturers, global technology enterprises, and leading AR/VR/metaverse companies.

Led by 468 Capital, the investment will drive team and product growth to further establish Synthesis AI as the leader in synthetic data

SAN FRANCISCO, April 28, 2022 /PRNewswire/ — Synthesis AI, a pioneer in synthetic data technologies to build advanced computer vision AI models, today announced it has closed $17 million in Series A financing led by new investor 468 Capital, with additional participation from Sorenson Ventures and Strawberry Creek Ventures and existing investors, Bee Partners, PJC, iRobot Boom Capital and Kubera Venture Capital.

The latest round brings Synthesis AI’s total funding to over $24 million. The new funds will allow Synthesis AI to grow its world-class team and introduce new products to enable companies to build more advanced computer vision models faster. The company also plans to expand research surrounding the intersection of CGI and AI with a focus on neural rendering, mixed training (real and synthetic), and modeling of complex human behavior.

“Synthesis AI is uniquely positioned to win in the emerging synthetic data space. The breadth and depth of Synthesis AI’s platform, the quality of the team, and the extensive list of Fortune 50 customers firmly establish Synthesis AI as a category leader, ” states Florian Leibert, partner at 468 Capital. “We are excited to support Synthesis AI as they push forward their vision to transform how AI models are fundamentally developed.”

Synthesis AI’s leading technology and proven customer traction with leading AI and technology companies were critical to the company’s successful round. The company has a track record of innovation and, over the last year, the company recorded several noteworthy firsts in the industry. The company released the first book on synthetic data, produced the first white paper surrounding facial analysis with synthetic data, published the first industry survey, and launched the first self-serve product (HumanAPI) in the space that has delivered well over 10 million generated images.

Accelerating Company Momentum

The Series A financing follows the launch of OpenSynthetics, the first dedicated community for creating and using synthetic data in AI/ML and computer vision with centralized access to synthetic datasets, research, papers, and code. Through OpenSynthetics, AI/ML practitioners, regardless of experience, can share tools and techniques for creating and using synthetic data to build more capable AI models and work to power the next generation of computer vision.

Additionally, Synthesis AI is expanding its HumanAPI solution to support the development of advanced digital humans, with new functionalities for pose estimation, action recognition, and high-density landmarks. The new capabilities enable advanced applications in the metaverse, Augmented Reality (AR), Virtual Reality (VR), and others in generated media, home & enterprise security, and AI fitness.

“Last year was a momentous year, and we’re excited to continue growing our teams and products with the support of our terrific investors,” said Yashar Behzadi, CEO of Synthesis AI. “Synthetic data is at an inflection point of adoption, and our goal is to develop the technology further and drive a paradigm change in how computer vision systems are built. The industry will soon fully design and train computer vision models in virtual worlds enabling for more advanced and ethical AI.”

Synthesis AI was recently recognized as #4 in Fast Company‘s prestigious global list of the most innovative small companies and as one of the top 10 breakthrough technologies of 2022 by MIT Technology Review.

To learn more about Synthesis AI, visit https://synthesis.ai/. 

About Synthesis AISynthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable and ethical computer vision models. Through a proprietary combination of generative neural networks and cinematic CGI pipelines, Synthesis’ platform can programmatically create vast amounts of perfectly-labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches. Synthesis AI’s customers include Fortune 500 technology, AR/VR/metaverse, automobile, teleconferencing, and AI companies.

Led by 468 Capital, the investment will drive team and product growth to further establish Synthesis AI as the leader in synthetic data

SAN FRANCISCO, CA, April 26, 2022 – Synthesis AI, a pioneer in synthetic data technologies to build advanced computer vision AI models, today announced it has closed $17 million in Series A financing led by new investor 468 Capital, with additional participation from Sorenson Ventures and Strawberry Creek Ventures and existing investors, Bee Partners, PJC, iRobot Boom Capital and Kubera Venture Capital.

The latest round brings Synthesis AI’s total funding to over $24 million. The new funds will allow Synthesis AI to grow its world-class team and introduce new products to enable companies to build more advanced computer vision models faster. The company also plans to expand research surrounding the intersection of CGI and AI with a focus on neural rendering, mixed training (real and synthetic), and modeling of complex human behavior. 

“Synthesis AI is uniquely positioned to win in the emerging synthetic data space. The breadth and depth of Synthesis AI’s platform, the quality of the team, and the extensive list of Fortune 50 customers firmly establish Synthesis AI as a category leader, “ states Florian Leibert, partner at 468 Capital. “We are excited to support Synthesis AI as they push forward their vision to transform how AI models are fundamentally developed.”

Synthesis AI’s leading technology and proven customer traction with leading AI and technology companies were critical to the company’s successful round. The company has a track record of innovation and, over the last year, the company recorded several noteworthy firsts in the industry. The company released the first book on synthetic data, produced the first white paper surrounding facial analysis with synthetic data, published the first industry survey, and launched the first self-serve product (HumanAPI) in the space that has delivered well over 10 million generated images.

Accelerating Company Momentum

The Series A financing follows the launch of OpenSynthetics, the first dedicated community for creating and using synthetic data in AI/ML and computer vision with centralized access to synthetic datasets, research, papers, and code. Through OpenSynthetics, AI/ML practitioners, regardless of experience, can share tools and techniques for creating and using synthetic data to build more capable AI models and work to power the next generation of computer vision. 

Additionally, Synthesis AI is expanding its HumanAPI solution to support the development of advanced digital humans, with new functionalities for pose estimation, action recognition, and high-density landmarks. The new capabilities enable advanced applications in the metaverse, Augmented Reality (AR), Virtual Reality (VR), and others in generated media, home & enterprise security, and AI fitness.

“Last year was a momentous year, and we’re excited to continue growing our teams and products with the support of our terrific investors,” said Yashar Behzadi, CEO of Synthesis AI. “Synthetic data is at an inflection point of adoption, and our goal is to develop the technology further and drive a paradigm change in how computer vision systems are built. The industry will soon fully design and train computer vision models in virtual worlds enabling for more advanced and ethical AI.”

Synthesis AI was recently recognized as #4 in Fast Company’s prestigious global list of the most innovative small companies and as one of the top 10 breakthrough technologies of 2022 by MIT Technology Review. 

To learn more about Synthesis AI, visit https://synthesis.ai/.  

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About Synthesis AI 

Synthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable and ethical computer vision models. Through a proprietary combination of generative neural networks and cinematic CGI pipelines, Synthesis’ platform can programmatically create vast amounts of perfectly-labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches. Synthesis AI’s customers include Fortune 500 technology, AR/VR/metaverse, automobile, teleconferencing, and AI companies. 

Media Contact

Laura Kubitz, Merritt Group

850.865.1038 synthesis.ai@merrittgrp.com

Yashar Behzadi to be featured in a panel covering synthetic data business strategy across industries featuring experts from Microsoft, NVIDIA, and Ford

SAN FRANCISCO, March 22, 2022 /PRNewswire/ — Synthesis AI, a pioneer in synthetic data technologies, today announced its founder and CEO Yashar Behzadi, will be featured in a panel at NVIDIA GTC 2022 alongside other distinguished experts from Microsoft, NVIDIA, and Ford.

The panel titled “Why Synthetic Data is Important for Your Business: Strategies and Implementations Across Industries” will focus on 3D synthetic data generation spanning partners and customers and will showcase the underlying value of Omniverse for high-fidelity, accurate data generation across different use cases and industries. The panel will take place on March 24 from 12:00 – 12:50 p.m. EDT.

Behzadi will appear alongside other synthetic data experts including:

Rev Lebaredian, VP Omniverse & Simulation Technology, NVIDIAGerard Andrews, Product Marketing, NVIDIAPedro Urbina, Software Developer Manager, MicrosoftNikita Jaipuria, Technical Expert – AI Based Modeling For DAT, FordGil Elbaz, CTO and Co-founder, Datagen

“I am honored to share my expertise alongside such distinguished industry leaders,” said Behzadi. “Sharing our collective experiences and knowledge will help accelerate the understanding and adoption of synthetic data across industries, which is the ultimate goal. The adoption of synthetic data is at an inflection point, but there is still work to be done to educate across use cases and establish more resources to help develop a knowledge base and understanding on ways synthetic data can reduce bias, further democratize, and build more robust AI models.”

The virtual conference will take place March 21-24 and feature additional workshops, trainings, and programs from tech visionaries, business leaders, and peers who are using the latest advancements in AI and accelerated computing to solve their biggest challenges.

To attend the conference and watch the panel, click here.

About Synthesis AISynthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable computer vision models. Through a proprietary combination of generative neural networks and cinematic CGI pipelines, Synthesis’ platform can programmatically create vast amounts of perfectly-labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches.

The recognition emphasizes the company’s leading role in enabling the next generation of AI systems with synthetic data and simulation technologies. 

SAN FRANCISCO, CA, March 8, 2022 – Synthesis AI, a pioneer in synthetic data technologies, ranked number four on Fast Company’s prestigious annual list of the World’s Most Innovative Companies for 2022. This ranking cements Synthesis AI’s role in pioneering synthetic data technologies to create more capable AI models. Synthetic data is a disruptive approach to training AI models through the use of computer-generated images and simulations.  Synthesis AI’s on-demand platform provides vast amounts of perfectly labeled 3D data. The company’s clients include leading technology, robotics, metaverse, smartphone, and autonomy companies.

“We are at an inflection point of utilization for synthetic data,” said Yashar Behzadi, CEO and founder of Synthesis AI. “Every day, more companies are adopting synthetic data approaches to build better models at a fraction of the time and cost of traditional human-labeling methods. With synthetic data, data practitioners can generate the data they need on-demand, ensuring robust and unbiased model performance. Moreover, synthetic data provides never-before-available 3D labels necessary to build new models for robotics, autonomy, and metaverse applications.” 

“Many thanks to Fast Company for recognizing Synthesis AI as a leader in synthetic data. The recognition is a great validation of the emerging role of synthetic data to the future of AI development,” continued Behzadi.

In addition to the recognition by Fast Company, Synthesis AI was also recently listed by MIT Technology Review as one of the Breakthrough Technologies of 2022.

From Startup to Global Innovator 

Synthesis AI emerged out of stealth in 2021 with its unique and disruptive approach to training AI models.  In the last year, Synthesis AI has spearheaded the effort to introduce synthetic data to the world. Synthesis AI’s head of artificial intelligence published the first book on synthetic data. The company also published the first industry survey on the benefits of synthetic data and published the first white paper on the development of state-of-the-art facial models with synthetic data.  The company was also the first to release self-serve synthetic data products. Synthesis AI launched HumanAPI, enabling the programmatic generation of millions of unique, high-quality 3D digital humans. This announcement came just months after the launch of the FaceAPI synthetic data-as-a-service product, which has delivered over 10M labeled facial images for leading smartphone, teleconferencing, automobile, and technology companies.

Most recently, Synthesis AI announced enhanced capabilities to support the development of advanced digital humans, with new functionalities for pose estimation, action recognition, and high-density landmarks. The new capabilities enable advanced applications in the metaverse, Augmented Reality (AR), Virtual Reality (VR), and others in generated media, home & enterprise security, and AI fitness. The company plans to launch several new APIs in 2022 to address new use-cases in robotics and autonomy.

About Fast Company

“The world’s most innovative companies play an essential role in addressing the most pressing issues facing society, whether they’re fighting climate change by spurring decarbonization efforts, ameliorating the strain on supply chains, or helping us reconnect with one another over shared passions,” said Fast Company Deputy Editor David Lidsky.

For the second year in a row, to coincide with the issue launch, Fast Company will host its Most Innovative Companies Summit on April 26–27. The virtual, multi-day summit celebrates the Most Innovative Companies in business, and provides an early look at major business trends and an inside look at what it takes to innovate in 2022. Fast Company’s Most Innovative Companies issue (March/April 2022) is available online here, as well as in-app form via iTunes, and on newsstands beginning March 15. The hashtag is #FCMostInnovative.

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About Synthesis AI 

Synthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable and ethical computer vision models. Through a proprietary combination of generative neural networks and cinematic CGI pipelines, Synthesis’ platform can programmatically create vast amounts of perfectly-labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches. 

Media Contact

Laura Kubitz, Merritt Group

850.865.1038

synthesis.ai@merrittgrp.com

The ability to create vast amounts of high-quality, labeled human images will enable more capable AI models needed to power the next generation of computer vision and metaverse applications.

SAN FRANCISCO, Nov. 9, 2021 /PRNewswire/ — Synthesis AI, a pioneer in synthetic data technologies, today released HumanAPI, a significant expansion of the company’s synthetic data capabilities enabling the programmatic generation of millions of unique, high-quality 3D digital humans. This announcement comes months after the launch of the FaceAPI synthetic data-as-a-service product, which has delivered over 10M labeled facial images for leading smartphone, teleconferencing, automobile, and technology companies. HumanAPI is the next step in the company’s journey to support advanced computer vision Artificial Intelligence (AI) applications.

“The ability to obtain accurate 3D labeled human data on-demand will fundamentally change the development of more sophisticated human AI models,” said Andrew Rabinovich, PhD and Headroom co-founder and CTO and former Head of AI for Magic Leap. “This is an important development in expanding the use of synthetic data across multiple use-cases and into new emerging technologies.” 

“HumanAPI is a natural evolution in our synthetic data roadmap. Now it is possible to produce photoreal 3D digital humans on-demand with programmatic control of facial appearance, body type, clothing, pose, and actions at an unprecedented scale. This functionality unlocks the ability to build new models for our existing smartphone, teleconferencing, and automobile customers,” said Yashar Behzadi, CEO and founder of Synthesis AI. “HumanAPI also enables all kinds of new opportunities for our customers, including smart AI assistants, virtual fitness coaches, and of course, the world of metaverse applications.”

By creating a digital double of the real world, the metaverse will enable new applications ranging from reimagined social networks, entertainment experiences, teleconferencing, gaming, and more. Computer vision AI will be fundamental to how the real world is captured and recreated with high-fidelity in the digital realm. Photorealistic, expressive, and behaviorally accurate humans will be an essential component of the metaverse. HumanAPI will be the first product to enable companies to create vast amounts of perfectly labeled whole-body data on-demand to build more capable AI models including pose estimation, emotion recognition, activity and behavior characterization, facial reconstruction, and more. 

The HumanAPI furthers Synthesis AI’s mission to create a new synthetic data paradigm to power the future of computer vision. A recent report commissioned by Synthesis AI and Vanson Bourne found that 89 percent of tech executives see synthetic data as a key to transforming their industry. In fact, 59 percent of industry leaders believe that their industry will utilize synthetic data in five years, either independently or in combination with ‘real-world’ data.

HumanAPI is available immediately. 

Executives believe that synthetic data is key to more efficiently and cost-effectively creating labeled training data.

SAN FRANCISCO, Sept. 15, 2021 /PRNewswire/ — Synthesis AI, a pioneer in synthetic data technologies, today released a new report in conjunction with Vanson Bourne, a global technology market research firm, highlighting how 89% of technology executives view synthetic data as a key emerging technology to creating more capable models, cutting the cost of data labeling, improving access to data, and reducing the time it takes to build AI models.

Industry leaders believe that, on average, 59% of their industry will utilize synthetic data in five years, either independently or in combination with ‘real-world’ data. This suggests that synthetic data will play an important role in the development of next-generation AI models.

The survey report, Adapt or Be Left Behind: 89 Percent of Tech Execs See Synthetic Data As a Key to Transforming Their Industry, is based on a survey of 100 senior technology executives on their perceptions of synthetic data, potential benefits and barriers of implementation, and what industry leaders think it will take to continue driving the adoption of synthetic data.

Synthetic data refers to computer-generated images and simulations used to train computer vision models. Synthetic data is emerging to be an essential element in building accurate and capable AI models, as it provides developers with vast amounts of perfectly labeled data on-demand.

“AI is driven by the amount, quality, and speed of training data. Synthetic training data is already making waves in several industries including autonomous vehicles and robotics. There is a critical need for more education on the underlying technology and benefits to drive broader industry adoption,” said Yashar Behzadi, CEO and founder of Synthesis AI. “Building core synthetic data capability will be the key to whether or not some companies adapt or fall behind in the future. Synthetic data has the potential to deliver perfectly labeled data on-demand, potentially cutting millions of dollars and months of work related to the current process of collecting, preparing, and manually labeling training data.”

Andy Thurai, Vice President and Principal Analyst at Constellation Research, said, “Today’s AI models are limited by real-world data for a couple of reasons – collecting real-world data is very expensive, and most companies don’t have the time and resources to collect the volume of data that is required to train models that the tech giants do. The survey results indicate synthetic data is a new market where there is a knowledge gap that needs to be addressed. A blend of the real world and synthetic data will provide the best combination that is impossible to match just by raw data collection. If a model can handle all possible scenarios based on assumptions, then it is ready for real-world scenarios.”

Synthetic data adoption is increasing, but a key to further adoption is enhanced understanding of this emerging technology across the board, all the way from the C-suite to machine learning engineers. Only half (51%) of the respondents were knowledgeable, state-of-the-art synthetic data approaches indicating a critical gap.

Respondents who were aware of recent advances in synthetic data expressed confidence in the technology’s ability to address key issues with current “real-world” data approaches. This indicates that if the knowledge gap is reduced, many more will likely see and understand synthetic data’s benefits.

Prominent barriers to synthetic data adoption are organizational knowledge and a slow buy-in from colleagues.

Other barriers to adoption included:

Concerns that models built with synthetic data are not as good as ‘real-world’ data (46%);Difficulty in creating high-quality synthetic data for complex systems (45%);The costs of integration and implementation (42%).

Recent advances in synthetic data are addressing the key identified barriers and the technology is predicted to be a significant enabler of the next generation of AI models.

Click here to download the report. To learn more about the company, visit https://synthesisaistg.wpengine.com.

About Synthesis AISynthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable computer vision models. Through a proprietary combination of generative neural networks and cinematic CGI pipelines, Synthesis’ platform can programmatically create vast amounts of perfectly-labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches.

Sergey Nikolenko explores fundamental computer vision problems, key synthetic data technologies, and future directions and applications 

SAN FRANCISCO, CA, August 10, 2021 – Synthesis AI, a pioneer in synthetic data technologies, today announced Springer has published the book Synthetic Data for Deep Learning written by Head of Artificial Intelligence (AI), Sergey Nikolenko. The book is available for purchase on Amazon and Springer.

Synthetic data refers to computer-generated images and simulations used to train computer vision models. Sergey Nikolenko is a computer scientist specializing in machine learning and the analysis of algorithms. In addition to his role at Synthesis AI, Nikolenko serves as the Head of the Artificial Intelligence Lab at the Steklov Mathematical Institute at St. Petersburg, Russia. His previous research includes works on cryptography, theoretical computer science, and algebra.

Synthetic Data for Deep Learning discusses fundamental computer vision problems, both low-level and high-level, synthetic environments and datasets for outdoor and urban scenes (i.e. autonomous driving), indoor scenes (i.e. indoor navigation), aerial navigation, and simulation environments for robotics. Additionally, it touches upon applications of synthetic data outside computer vision. Springer Publisher states, “This is the first book on synthetic data for deep learning, and its breadth of coverage may render this book as the default reference on synthetic data for years to come.” 

Serge Belongie, Professor, Department of Computer Science at the University of Copenhagen (DIKU) and Director, Pioneer Centre for Artificial Intelligence, said, “As deep learning finds its way into a rapidly growing array of real-world applications ranging from autonomous vehicles to telemedicine, the need for data to train ever-higher capacity models shows no signs of stopping. To meet that need, our field must tap into rich sources of synthetic and real data. Sergey’s book lucidly surveys the state of the art in the former, and I consider it required reading for any researcher using deep learning based methods.”

“The sheer pace — not to mention complexity — of machine learning and deep learning development is exponential in the world around us. I felt strongly that we needed a comprehensive text to look at the rise of synthetic data needed to prolong the exponential growth of machine learning in supervised learning problems, especially computer vision, and more,“ said Nikolenko. “Simply put, synthetic data is a way to prolong the march of progress in these fields. I hope this text can help educate, serve as a comprehensive reference for all aspects of synthetic data, and facilitate discussion and future research.” 

Coming out of stealth with $4.5M in funding in April 2021, Synthesis AI’s platform addresses industry needs by letting customers programmatically create vast amounts of perfectly labeled, unbiased image data enabling the development of more capable models. The company has since achieved the largest synthetic data set in the industry with 40K unique identities and delivered 10M labeled images from its FaceAPI product. Synthesis AI’s customers include top handset manufacturers, global technology companies, teleconferencing companies, and leading chipset and camera manufacturers. The company also recently announced enhanced capabilities to enable the development of driver safety monitoring systems and is already working with leading automobile manufacturers.

To learn more about the company, visit https://synthesisaistg.wpengine.com. 

About Synthesis AI 

Synthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable computer vision models. Through a proprietary combination of generative neural networks and cinematic CGI pipelines, Synthesis’ platform can programmatically create vast amounts of perfectly-labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches. 

Media Contact

Laura Kubitz, Merritt Group

850.865.1038

synthesis.ai@merrittgrp.com