Scale AI

Scale AI is a San Francisco-based artificial intelligence company making an API for validating and training data for applications. It was founded in 2016 by Alexander Wang and Lucy GuoLucy Guo. The company offers users acceleration of AI applications by generating high-quality ground data, with advanced LiDAR, image, video, and NLP annotation APIs to allow machine learning companies to build differentiated models. Scale AI serves industries such as retail, e-commerce, and logistics, with customers that have included Meta, Microsoft, U.S. Army, DoD's Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart, and Flexport.

Scale AI's generative AI platform is a full-stack platform developed for enterprise users and powered by the Scale Data Engine. The architecture of the generative AI platform allows users to develop a generative AI system, whether it requires fine-tuning, prompt engineering, security, model safety, model evaluation, and is intended for enterprise apps. This could be to develop machine learning systems for visual collaboration and classification; automated advertising platforms; trend detection; trust and safety, such as detection and removal of unsafe content; and claims intelligence; and more.

Scale AI's Spellbook allows users to build, compare, and deploy large language model (LLM) applications. This allows users to upload data and review prompts; compare experiments across LLMs, prompts, and fine-tuning strategies; fine-tune the data to continue to improve the model and its performance; and to deploy variants to production with API endpoints with built-in monitoring and analytics.

Scale AI is an artificial intelligence company making an API for validating and training data for applications that is headquartered in San Francisco, California and was founded in 2016 by Alexander Wang and Lucy Guo. The company offers users acceleration of AI applications by generating high-quality ground data, with advanced LiDAR, image, video, and NLP annotation APIs to allow machine learning companies build differentiated models. Scale AI serves industries such as retail, e-commerce, and logistics, with customers which have included Meta, Microsoft, U.S. Army, DoD's Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart, and Flexport.

Scale AI is a San Francisco-based artificial intelligence company making an API for validating and training data for applications. It was founded in 2016 by Alexander Wang and Lucy Guo. The company offers users acceleration of AI applications by generating high-quality ground data, with advanced LiDAR, image, video, and NLP annotation APIs to allow machine learning companies to build differentiated models. Scale AI serves industries such as retail, e-commerce, and logistics, with customers that have included Meta, Microsoft, U.S. Army, DoD's Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart, and Flexport.

Scale AI's Data Engine is developed to collect, curate, and annotate data to help train models and evaluate those models. The data engine includes several tools and features to help users, including through data generation, model evaluation, safety, and alignment measurements; data labeling, which combines AI-based techniques with human-in-the-loop to deliver labeled data; and data curation tools to help users identify the highest value data to label. The data engine can be used to help users develop AI systems.

Scale AI's generative AI platform is a full-stack platform developed for enterprise users, and powered by the Scale Data Engine. The architecture of the generative AI platform allows users to develop a generative AI system, whether it requires fine-tuning, prompt engineering, security, model safety, model evaluation, and is intended for enterprise apps. This could be to develop machine learinglearning systems for visual collaboration and classification; automated advertising platforms; trend detection; trust and safety, such as detection and removal of unsafe content; and claims intelligence,; amongand othersmore.

Scale AI's Spellbook allows users to build, compare, and deploy large language model (LLM) applications. This allows users to upload data and review prompts; compare experiments across LLMs, prompts, and fine tuningfine-tuning strategies; fine tunefine-tune the data to continue to improve the model and its performance; and to deploy variants to production with API endpoints with built inbuilt-in monitoring and analytics.

Scale AI is an artificial intelligence company making an API for validating and training data for applications that is headquartered in San Francisco, California and was founded in 2016 by Alexander Wang and Lucy Guo. TheirThe APIcompany includesoffers theusers followingacceleration of AI applications by generating high-quality ground data, features:with Sensoradvanced FusionLiDAR, (image, video, and NLP annotation forAPIs to allow machine learning companies build differentiated models. Scale AI serves industries such as retail, e-commerce, and logistics, with customers which have LIDAR/RADAR/cameraincluded data)Meta, semanticMicrosoft, segmentationU.S. Army, 2DDoD's boxes/polygonsDefense Innovation Unit, videoOpen AI, 3DGeneral cuboidsMotors, linesToyota Research &Institute, splinesBrex, keypointsInstacart, and data categorizationFlexport.

On August 22, 2016 Scale AI completed their seed funding round with $120,000 in seed funding from Y Combinator.

On May 23, 2017 Scale AI completed their series A funding round with $4.5 million in funding from Accel (lead investor), Y Combinator, Arena Ventures, Nat Friedman, Ilya Sukhar, Guillermo Rauch, Greg Brockman, and Charlie Cheever.

On August 7, 2018 Scale AI completed their series B funding round with $18 million in funding from Index Ventures (lead investor), Y Combinator, Accel, Justin Kan, and Drew Houston.

On August 5, 2019 Scale AI completed their series C funding round with $100 million in funding from Founder Fund (lead investor), Thrive Capital, Spark Capital, Index Ventures, Coatue Management, Accel, Mike Krieger, Kevin Systrom, and Adam D'Angelo.

Interview with CEO Alex Wang

Scale AI's Data Engine is developed to collect, curate, and annotate data to help train models and evaluate those models. The data engine includes several tools and features to help users, including through data generation, model evaluation, safety, and alignment measurements; data labeling which combines AI-based techniques with human-in-the-loop to deliver labeled data; and data curation tools to help users identify the highest value data to label. The data engine can be used to help users develop AI systems.

Scale AI's generative AI platform is a full-stack platform developed for enterprise users, and powered by the Scale Data Engine. The architecture of the generative AI platform allows users to develop a generative AI system, whether it requires fine-tuning, prompt engineering, security, model safety, model evaluation, and intended for enterprise apps. This could be to develop machine learing systems for visual collaboration and classification; automated advertising platforms; trend detection; trust and safety, such as detection and removal of unsafe content; and claims intelligence, among others.

Scale AI's Spellbook allows users to build, compare, and deploy large language model (LLM) applications. This allows users to upload data and review prompts; compare experiments across LLMs, prompts, and fine tuning strategies; fine tune the data to continue to improve the model and its performance; and to deploy variants to production with API endpoints with built in monitoring and analytics.