Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale CatalogCreate, enrich, and enhance eCommerce data.
Scale Enterprise AIModels to support your business use cases.
Scale NucleusThe mission control for your data
Scale LaunchShip and track your models in production
Scale Document AITemplate-free ML document processing
Scale Content UnderstandingManage content for better user experiences
Scale InstantMLNext-day machine learning models, without ML expertise
Scale SpellbookThe platform for large language model apps
Scale SyntheticGenerate synthetic data
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AI Readiness Report 2022
Company Updates & Technology Articles
We evaluate davinci-003 across a range of classification, summarization, and generation tasks. Using Scale Spellbook, the platform for large language model apps, we show where davinci-003 significantly outperforms the prior version and where it still has room to improve.
Nov 30th, 2022
Nov 30th, 2022
Discovering short-form video trends is challenging. In this blog post, we explain how we use an ML + HiTL approach for faster and higher-quality trend detection.
Nov 28th, 2022
Scale’s veteran population is nearly 5% of the US based workforce exceeding the percentage of veterans in the tech workforce, and one-third of veteran employees are recently separated.
Nov 10th, 2022
The 2022 TransformX conference may now be behind us, but you can still catch all of our sessions on-demand! Nearly 32,000 virtual and in-person attendees joined the 3-day event, which included almost 80 sessions and 108 speakers. From navigating an AI-enabled future to putting people on Mars with ML, Alexandr Wang and the Scale team were joined by the world's top industry leaders, researchers, and practitioners of AI and Machine Learning.
Nov 4th, 2022
Catalog Forge is the fastest way to create AI-generated product imagery in seconds. Forge is now in Early Access.
Nov 10th, 2022
At this year’s event, we felt it was important to shine a light on how AI is going to define the next era of technology and power.
Oct 19th, 2022
The celebration started in 1988 on the first anniversary of the second National March on Washington for Lesbian and Gay Rights in October 1987.
Oct 18th, 2022
Model evaluation is one of the most important prerequisites prior to shipping an ML model. Read our guidance on the top 4 tools for model evalutation.
Oct 11th, 2022
Come talk to us at the Association of the United States Army (AUSA) conference
Oct 3rd, 2022
Learn how you can better evaluate machine learning models.
Sep 29th, 2022
Sep 23rd, 2022
5 tools to assist you in generating beautiful art from text prompts with ML models.
Sep 22nd, 2022
Reaching this milestone on the path to authorization is invaluable to Scale’s ability to enable federal, state and local governments in the adaptation of AI applications.
Sep 20th, 2022
Nick Beighton, former CEO of ASOS, discusses how he transformed the company from 200 million to 4 billion in revenue by investing in product catalog data.
Sep 20th, 2022
How to warm-start your computer vision project with these 10 robust public datasets prior to fine tuning on data for your use case.
Sep 13th, 2022
Roon guest-authors a post on large language models and the future of computing.
Sep 8th, 2022
Sep 7th, 2022
Meet the engineers who are accelerating the development of AI applications
Sep 6th, 2022
We built Validate as a developer-friendly solution both for API-first and UI-focused users. The Validate interfaces and endpoints make it as easy as possible to get started and integrated into existing pipelines. Today, Scale Validate is used for the testing pipelines of leading ML teams in areas including autonomous driving, surveillance, and industrial robotics.
Aug 24th, 2022
Both research and industry agree that picking out the right data to annotate leads to much better model performance, because it corrects for the naturally unequal data distribution.
Aug 23rd, 2022
The pixel-level precision required for highly accurate semantic segmentation makes it extremely challenging and time-consuming for humans to annotate. In this blog, we discuss our Autosegment feature to make it easier and faster for our annotators to annotate.
Aug 22nd, 2022
Scale is working on the world's most ambitious AI projects, with the help of top engineers.
Aug 19th, 2022
Let’s walk through an example of how you can use two of Scale’s products: Scale Nucleus and Scale Studio to identify and fix bad labels leveraging model predictions.
Aug 18th, 2022
With MongoDB, the burden fell on our Infrastructure team to determine how best to distribute our database nodes across our cloud infrastructure. Read on to learn how we split our MongoDB instance into several shards without downtime.
Aug 18th, 2022
Nucleus is the centralized, scalable, and collaborative control center for your machine learning (ML) model’s training data. Nucleus helps you update missing or erroneous labels, and identify model failure cases so that you can direct your data curation efforts with the express goal of training better models.
Aug 17th, 2022
When it comes to the question of building vs buying for data annotation, there’s no one right answer. In this blog, we explore the factors to keep in mind as you try to solve your own data annotation build vs. buy equation.
Aug 15th, 2022
Scale is in an exciting place where growth opportunities for AI organically grow your career too.
Jul 29th, 2022
Training data is the lifeblood of machine learning. Learn how to assess the quality of your annotated data and understand methods to systematically improve the quality of your training data.
Jul 27th, 2022
Investing in data annotation or data labeling is key to unlocking the power of AI but data annotation is a more challenging problem than most teams realize. In this blog, we provide a step-by-step guide to build quality data pipelines.
Jul 20th, 2022
In this blog, we explore how to effectively apply the principles behind generative adversarial networks (GANs) to our human-in-the-loop data annotation processes to deliver the highest quality data to customers.
Jul 18th, 2022
With this partnership, Scale will provide services focused on data management, AI modeling and innovative development to all federal agencies
Jun 28th, 2022
Dennis will be leading Finance, Accounting, Corporate Development, and Strategic Partnerships
Jun 14th, 2022
Every year since 1995, a pink triangle has been constructed at the top of Twin Peaks in San Francisco during the month of June for Pride.
Jun 6th, 2022
As Memorial Day nears, Scale U.S. Army veteran Jacob Sheehan shares his experiences with the costs of war
May 27th, 2022
Scale engineer Sasha Harrison details her experience building ML products at Scale, and what she has learned.
May 19th, 2022
We show that using Adaptive ML models to catch common errors meaningfully improves metrics for our customers.
May 9th, 2022
Scale Operations leader Willow Primack shares her personal experience for International Transgender Day of Visibility.
Mar 31st, 2022
Scale recently sponsored Treehacks, Stanford University’s annual hackathon. In this blog, we discuss how to use Scale Rapid for a successful machine learning (ML) hackathon.
Mar 30th, 2022
At Scale AI, we are always looking to find ways to leverage ML to deliver the best results for our customers. In this blog post, we discuss the importance of understanding operational and business context to ship ML systems that work.
Mar 28th, 2022
In our latest blog, we explore how to implement transfer learning for object detection using Scale Rapid.
Mar 22nd, 2022
Bon Strout shares what he learned in his experience at Scale as a Shift Venture Fellow.
Mar 14th, 2022
Scale board member William Hockey details why he believes AI/ML has the fundamental ability to restructure the way that systems and businesses are built.
Mar 9th, 2022
Starting today, Scale will be providing a series of AI-Ready datasets that algorithm developers can use to rapidly train and deploy AI in support of Ukrainian and NATO operations. By providing these datasets at no cost to national security practitioners, we hope to support a diplomatic solution and swift end to this conflict.
Mar 7th, 2022
In this blog, we explore using CycleGAN to anime-fy images with Scale Rapid.
Feb 15th, 2022
Don’t trust your dataset just because everybody else does. Learn how to use Scale Nucleus with Rapid to improve your dataset strategically, only sending problematic and business-relevant images to be labeled.
Feb 14th, 2022
Even "intelligent" OCR falls short of new ML-based approaches to whole-document extraction, where artificial intelligence models perform context-aware, accurate extraction from messy documents.
Feb 10th, 2022
Scale Synthetic is the most efficient way to enhance ML performance with synthetic data that complements real-world datasets. Talk to us to participate in our Early Access program.
Feb 2nd, 2022
Scale’s Field Engineering is a global team of creative engineers who collaborate with clients to understand their challenges and architect solutions. Learn more about what a day in the life of a Field Engineer at Scale looks like.
Jan 24th, 2022
In an exciting announcement to close out the year, Scale has been featured in two of Gartner, Inc.’s 2021 Hype Cycles. We are honored to have been featured in Hype Cycles for both Artificial Intelligence and Data Science and Machine Learning.
Dec 21st, 2021
The ML team at Scale is proud to contribute to the field of machine learning (ML) through its own research and partnerships with leading Universities such as Oxford University. Read on for an overview of the three papers accepted to NeurIPS 2021.
Dec 8th, 2021
In early October, we hosted our second virtual conference: TransformX. Catch up on some key insights and takeaways that the foremost government leaders have on the future of AI.
Nov 30th, 2021
As we prepare to celebrate Veterans Day, we wanted to share some of our Scale veterans’ stories to honor them and their commitment to our country, and to also offer advice for those navigating the transition from service to civilian life.
Nov 10th, 2021
This blog post introduces Autosegment, an ML-powered tool that can segment instances within a human-provided box. We have found that we can delegate high-level reasoning to Taskers (the labelers on our platform) and leave basic semantic segmentation to an ML model. This division of labor allowed us to build a 30% faster generalizable and accurate ML labeling tool through a conceptually simple implementation.
Nov 9th, 2021
In his talk at the Scale TransformX 2021 conference, Taylor discussed the key considerations that businesses of all sizes should keep in mind to ensure that they delight their customers and achieve sustainable business outcomes.
Nov 8th, 2021
Today we’re thrilled to announce a new partnership with Blend, a leading fintech company that is re-architecting banking software around the consumer. Through this partnership, we’re bringing the most advanced machine learning capabilities to Blend’s mortgage loan process, enabling easier and faster lending decisions for home buyers.
Nov 5th, 2021
In this TransformX session, Dr. Li shares how vision is critical for first perceiving the physical world and then interacting with it. She explores how recent advances in AI research help machines perceive the environment around them and then engage with it, to perform both short-horizon and long-horizon tasks.
Nov 4th, 2021
Today we're annoucing the acquisistion of SiaSearch to further enhance data management for Scale Nucleus.
Nov 3rd, 2021
‘We like to say that we are not building a vehicle, we are building a driver’, says Dmitri Dolgov co-CEO of Waymo. He sat down with Scale CEO Alexandr Wang to discuss Waymo’s approach to a complex machine learning problem.
Nov 3rd, 2021
Eric Schmidt, a co-founder of Schmidt Futures and a former CEO of Google, discusses how AI will shape our global future. Eric joined Scale AI CEO Alexandr Wang in this fireside chat at TransformX.
Oct 28th, 2021
In this TransformX session, Justin Basilico, Director of Machine Learning and Recommender Systems at Netflix describes how ‘everything at Netflix is a recommendation’. He explores recent trends in recommendations and how they are applied for each of Netflix's 200 million users.
Oct 22nd, 2021
In this TransformX session, Clement describes the pervasiveness and capabilities of Transformers. He explores how we might ensure they are used in an ethical and transparent manner.
Oct 21st, 2021
Following on the announcement of Scale Nucleus, rebuilt from the ground up, Nucleus now supports 3D LiDAR point cloud data using the Scenes paradigm to keep data from multiple sensors organized and manageable.
Oct 20th, 2021
In this TransformX session, Kevin Scott, CTO of Microsoft joined Scale AI CEO Alexandr Wang to discuss the most impactful recent advances in AI and how we can enable a new wave of innovation by democratizing AI for the benefit of everyone in society.
Oct 19th, 2021
We take the trust of our customers and the security of their data seriously, and today, we are proud to announce the availability of our ISO 27001 certificate.
Oct 12th, 2021
That's a wrap for TransformX 2021 Conference! Over 23,000 registrants attended 60 sessions from 100 of the world's top leaders, researchers, and practitioners of AI and Machine Learning. Here are the top highlights from some of our favorite sessions.
Oct 15th, 2021
Scale Rapid is the fastest way to production-level quality labels, with no data minimums. Scale Rapid is now Generally Available.
Oct 6th, 2021
Research conducted by Scale AI's ML team has found that human annotations remain indispensable for deep learning models. Learn about our team's latest research paper.
Oct 4th, 2021
Achieving high-quality training data in taxonomy categorization is a major challenge. In this blog, we discuss how we leverage a Human + ML consensus pipelines to enhance taxonomy categorization.
Sep 27th, 2021
Nucleus, rebuilt from the ground up, makes it even easier to assess data quality, identify edge cases, and automatically categorize and tag objects in your training dataset for labeling.
Sep 13th, 2021
We take the trust of our customers and the security of their data seriously, and today, we are proud to announce the availability of our System and Organizational Controls (SOC) 2 Type II report, and the achievement of HIPAA compliance.
Sep 1st, 2021
Scale Rapid is the fastest way to production-quality labels with no data minimums, all with full control.
Jul 19th, 2021
Last week we hosted Scale Converge, to showcase the latest advances in AI and ML for eCommerce and online marketplaces. We brought together technical leaders to hear from the people and companies leading the eCommerce and retail industry forward. It was an event full of thoughtful conversations that examined the advancements made, the challenges that still lie ahead, and what we can expect in the years to come.
Jun 30th, 2021
It is often difficult and costly to achieve strong performance on the rare edge cases that make up the long tail of data distribution. In this blog post, we’ll take a deeper look at how sophisticated data curation tools can help machine learning teams target their experiments toward taming the long tail.
Jun 29th, 2021
Recent studies demonstrate computer vision models can serve as a useful decision support tool in healthcare but darker skin is underrepresented in datasets. The lack of consideration has been shown to lead neural networks to produce large accuracy disparities. This research sought to determine if adding Fitzpatrick labels would allow researchers to assess algorithmic fairness to ensure better performance.
Jun 23rd, 2021
Scale Mapping provides customers with the most flexible, scalable, and transparent mapping solution. With Scale Mapping, customers can generate high precision maps for simulations and real-world testing, enhance prediction and motion planning by effectively predicting another agent’s intent, train perception models to live detect map features, and improve navigation and route planning to maximize efficiency.
Jun 21st, 2021
Scale Document AI is the next-generation approach for intelligent document processing. Its latest capability, Adaptive AI, deploys refined machine learning models for customers who demand high quality and low latency at scale when it comes to document processing.
Jun 17th, 2021
I strongly believe in our mission to democratize and accelerate the development of AI. What excites me is that we're solving problems that are new, that other companies haven't solved before. We're tackling issues that are going to be more and more important as AI becomes more and more prevalent.
Jun 9th, 2021
Scale AI was founded on the belief that better data → better AI. In this blog, we aim to outline the downstream impacts of "bad" data and how Scale aims to mitigate these impacts.
Jun 7th, 2021
Scale AI has been named to [CB Insights’ AI 100](https://www.cbinsights.com/research/report/artificial-intelligence-top-startups/) 2021 ranking of the most innovative private AI startups – highlighting our leading data annotation services.
Apr 7th, 2021
Today we hosted our inaugural conference, Scale Transform, to showcase the state of AI today, from the latest research breakthroughs to the real-world impact across industries. It was a day full of thoughtful conversations and presentations that examined the strides made in advancing these core resources, the challenges that still lie ahead, and what we can expect in the years to come.
Mar 26th, 2021
An introduction to Scale Nucleus, a dataset management tool that helps machine learning teams improve their models by improving their data. In this article, we show how Nucleus can help debug model failures, trace them back to dataset issues, and make it easy to prioritize which data to label next.
Feb 10th, 2021
At Scale AI, we use Machine Learning models in a wide range of applications to improve the quality of our annotations. In this blog, we discuss some tricks to drastically improve PyTorch Transformer implementation in just a few lines of code.
Dec 17th, 2020
Today we are excited to share several key updates that build on Scale AI’s mission to accelerate the development of AI. Scale has raised $155M in Series D funding at a valuation north of $3.5B led by Tiger Global.
Dec 1st, 2020
How Scale AI combined partial automation with human quality control in our Scale Document labeling pipeline to make menu processing and restaurant onboarding faster and smoother.
Nov 16th, 2020
We are excited to announce that we have raised a $4.5 million Series A round of funding led by Accel. Along with this funding, Accel’s Daniel Levine has joined Scale’s board. The funding will be used to invest in our rapid growth, expand our offerings, and grow our team.
Jul 16th, 2017
The Scale AI team hosted its first ever Hackathon last month. The hackathon was designed to: 1. Encourage innovative thinking to solve some of Scale’s biggest challenges. 2. Prototype and potentially launch impactful projects that make Scale better in practice. 3. Facilitate long-term cross-functional relationships. 4. Give all Scaliens a creative break from their daily work.
Oct 28th, 2020
Following up on the launch of our new API docs, this post provides further details on how we implemented our docs with Next.JS, Tailwind CSS, and ReadMe.
Oct 20th, 2020
I cannot express how excited I am to join the team at Scale AI. To understand why, one needs to look no farther than my background. Over the past 33 years, I’ve dedicated my career to serving our country, keeping our citizens safe, and improving the technology our warfighters and analysts use to protect us. I’ve seen first-hand how artificial intelligence (AI) already has and will continue to change our world.
May 24th, 2021
Machine learning is a field of study with tremendous strides being made through active academic research. The machine learning team at Scale AI regularly hosts reading groups to discuss papers they find interesting. In this blog post, we go over the papers the team has read throughout the quarter and provide insights on how a paper influenced our own work here at Scale AI when relevant.
Oct 7th, 2020
The latest update to our API documentation provides a better user experience and more consistent experience between our API documentation and the rest of our platform.
Sep 16th, 2020
At Scale AI, we take the trust of our customers and the security of their data seriously. We are pleased to reaffirm our commitment to building customer trust with the availability of our SOC 2 report.
Sep 14th, 2020
As our AI/ML team continues to grow, we aim to contribute to the broader research community by conducting and publishing cutting edge research. In this blog post, we spotlight a research paper we submitted on learning useful sentence representations from large transformer-based language models.
Aug 20th, 2020
Unless machine models are trained on representative data, they can develop serious biases, significantly harming underrepresented groups and leading to ineffective products. In this blog post, we investigated the CoNLL-2003 dataset—a standard for building algorithms that recognize named entities in text—and found that the data is highly skewed toward male names. Read on to find out how we mitigated this bias.
Aug 18th, 2020
Our latest product offering provides advanced tooling for understanding, visualizing, curating, and collaborating on your data – allowing teams to build better ML models via a powerful interface and APIs.
Aug 5th, 2020
Fostering connection when everyone is remote is tricky. Shelter-in-place restrictions pose new challenges that inspired our people team to think of creative ways to keep the team connected. In this blog, we highlight and share our social connection initiatives.
Jul 1st, 2020
We are proud to introduce PandaSet: a new open-source dataset for training machine learning (ML) models for autonomous driving released in partnership with the LiDAR manufacturer Hesai.
May 20th, 2020
In this blog, we discuss how Scale AI uses machine learning (ML) to supercharge its data annotation pipeline, enumerate some of the technical challenges, and describe our approach to create scalable ML solutions.
May 18th, 2020
Our latest product offering is capable of supporting a range of inputs from PDFs, Microsoft Word Documents, JPEGs and more. Scale Document builds on the previously released Scale Text product to better support customers with document processing and understanding use cases.
Apr 22nd, 2020
We have expanded our data annotation products over the years to support an increasing range of data inputs and annotation types. As our data annotation products grew, it became clear that we needed a better way to group and name our products. We invite you to explore our updated product line up.
Apr 20th, 2020
