Blog

Product

Finding Your Best Model Is Tricky—Here's How to Do It!

Learn how you can better evaluate machine learning models.

Sep 29th, 2022

Engineering

Why I Joined Scale

Sep 23rd, 2022

General

How to Make Your Own AI-Generated Images

5 tools to assist you in generating beautiful art from text prompts with ML models.

Sep 22nd, 2022

Company

Scale Achieves FedRAMP ‘In Process’ Designation for its AI Data Platform

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

General

How Nick Beighton Transformed ASOS by Investing in Product Catalog Data

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

General

The 10 Best Public Datasets for Object Detection in 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

General

Text Is the Universal Interface

Roon guest-authors a post on large language models and the future of computing.

Sep 8th, 2022

Engineering

Why I Joined Scale

Sep 7th, 2022

Engineering

Scale's Talented Engineering Team

Meet the engineers who are accelerating the development of AI applications

Sep 6th, 2022

Product

Introducing Scale Validate for Model Testing

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

Product

How to Handle Long Tail Data Distributions in Machine Learning

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

Engineering

Machine Learning Assisted Image Segmentation

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

People

Why I Joined Scale

Scale is working on the world's most ambitious AI projects, with the help of top engineers.

Aug 19th, 2022

Product

Building Great Models with Better Data on Nucleus and Studio

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

Engineering

How We Scaled Our MongoDB Instance Gracefully

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

Product

Nucleus Simplified—Dataset Management for Everyone

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

General

Build vs. Buy: What Makes Sense for Data Annotation?

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

People

Why I joined Scale

Scale is in an exciting place where growth opportunities for AI organically grow your career too.

Jul 29th, 2022

General

How to Understand and Improve the Quality of Annotated Data

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

Product

How to Setup Data Annotation Pipelines

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

Engineering

Using GANs to Align Human Metrics

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

Company

Scale partners with Deloitte to accelerate AI adoption across the U.S. government

With this partnership, Scale will provide services focused on data management, AI modeling and innovative development to all federal agencies

Jun 28th, 2022

People

Why I Joined Scale

Dennis will be leading Finance, Accounting, Corporate Development, and Strategic Partnerships

Jun 14th, 2022

People

Honoring Pride: Scale Out & The Pink Triangle

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

People

Veterans@Scale: Reflection and Remembrance on Memorial Day

As Memorial Day nears, Scale U.S. Army veteran Jacob Sheehan shares his experiences with the costs of war

May 27th, 2022

People

Life at Scale

Scale engineer Sasha Harrison details her experience building ML products at Scale, and what she has learned.

May 19th, 2022

Product

How ML Linting Meaningfully Improves Adaptive Document Processing at Scale

We show that using Adaptive ML models to catch common errors meaningfully improves metrics for our customers.

May 9th, 2022

People

Trans Day of Visibility: My Experience at Scale

Scale Operations leader Willow Primack shares her personal experience for International Transgender Day of Visibility.

Mar 31st, 2022

Product

How to Use Scale for Your ML Hackathon Project

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

Engineering

Design Thinking for ML Systems at Scale

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

Engineering

Easy Transfer Learning with Scale Rapid

In our latest blog, we explore how to implement transfer learning for object detection using Scale Rapid.

Mar 22nd, 2022

General

Shift Ventures Fellow Spotlight: Bon Strout

Bon Strout shares what he learned in his experience at Scale as a Shift Venture Fellow.

Mar 14th, 2022

People

Why I Joined Scale

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

Company

Scale AI providing free datasets to help national security partners gain current insights into Russia-Ukraine conflict

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

Engineering

Using CycleGAN to Train Unsupervised ML Models

In this blog, we explore using CycleGAN to anime-fy images with Scale Rapid.

Feb 15th, 2022

Product

Peer-Reviewed Doesn’t Mean Perfect Data

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

Product

Comparing Scale Document AI to Traditional OCR

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

Product

Introducing: Scale Synthetic - Now Available for Early Access

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

People

Field Engineering at Scale | A Day in the Life

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

Company

Scale Highlighted in Gartner Inc.’s 2021 AI Hype Cycles

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

Engineering

Machine Learning Papers at NeurIPS 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

General

Highlights from TransformX 2021: U.S. Government Sessions

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

General

Scale AI And Oxford University's Reddit Dataset Provides Comprehensive Online Discourse Data

Scale AI And Oxford University's Reddit dataset provides comprehensive, realistic online discourse data to pave the way to train socially aware language models.

Nov 22nd, 2021

Customers

How Does Scale AI Partner with Customers to Produce High-Quality Training Data?

To move fast, we align with our customers early. We strive to understand what our customers ask for and why, so that we can use the best combination of product and operational expertise to label their data with high quality - with their ML goals in mind.

Nov 16th, 2021

People

Scale Team Spotlight: Veterans at Scale

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

Engineering

Faster Semantic Segmentation with Machine Learning-Assisted Workflows

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

General

7 Elements of a Well-Thought-Out AI Strategy: Salesforce COO Bret Taylor

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

Company

Blend and Scale AI: Leveraging ML to Make Smart, Instant Lending Decisions

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

General

On Teaching Robots To Perform Complex Tasks with Dr. Fei-Fei Li

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

Company

SiaSearch Acquisition: Delivering the Full Data Engine to Our Customers

Today we're annoucing the acquisistion of SiaSearch to further enhance data management for Scale Nucleus.

Nov 3rd, 2021

General

Dmitri Dolgov of Waymo Discusses Data-centric AI

‘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

General

Eric Schmidt Discusses the Geopolitics of AI

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

General

Netflix Explains Recommendations and Personalization

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

General

HuggingFace CEO, Clement Delangue: Are Transformers Becoming the Most Impactful Tech of the Decade?

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

Product

Managing 3D Sensor Fusion Data with Scenes in Scale Nucleus

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

General

Microsoft CTO Kevin Scott's Seven Insights on the Future of AI

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

General

Highlights From TransformX 2021 Conference

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

General

Our Commitment to Securing Customer Data: Scale + ISO 27001

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

Product

Scale Rapid: Now Generally Available

Scale Rapid is the fastest way to production-level quality labels, with no data minimums. Scale Rapid is now Generally Available.

Oct 6th, 2021

Engineering

Human Annotations Remain Indispensable for Developing Deep Learning Models

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

Engineering

ML & Human Consensus: The Best of Both Worlds

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

Product

Improving Datasets and Debugging Machine Learning Models with Scale Nucleus, Rebuilt from the Ground Up

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

General

Our Commitment to Securing Customer Data: Scale + SOC 2 Type II and HIPAA

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

Company

Scale Rapid: Fast Experimentation with Production-Quality Labels

Scale Rapid is the fastest way to production-quality labels with no data minimums, all with full control.

Jul 19th, 2021

General

Scale Converge: The Future of eCommerce & Retail with AI

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

Engineering

How to Tame the Long Tail in Machine Learning

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

Company

Scale AI and Research Partner MIT Media Lab Analyze Bias in Dermatological Datasets to Improve Diagnoses

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

Product

Own Your Own Maps. Introducing: Scale Mapping

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

Product

OCR Is Not Enough. Try Scale Document AI.

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

People

Life at Scale

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

General

Doing the Data Work to Mitigate Data Cascades

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

Company

Why I Joined Scale AI

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

Company

Scale AI’s Series E: Deploying AI Across Every Industry

We’re happy to share that Scale has raised $325 million in Series E funding, co-led by Dragoneer, Greenoaks Capital, and Tiger Global. Additional new investors in the round include Wellington Management and Durable Capital followed by existing investors Coatue, Index, Founders Fund, and YC.

Apr 13th, 2021

Company

Scale AI Named to CB Insights’ AI 100 2021 List

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

General

Scale Transform: AI Leaders Showcase Research Breakthroughs and Real-World Impact

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

Company

Why I Joined Scale

The most impactful technology trends often start with infrastructure buildout. As an early employee of Twilio, I had the opportunity to shape their history. I am thrilled to join Scale as the Chief Revenue Officer to to shape, mold and build the future of Scale.

Mar 2nd, 2021

Product

Getting Started with Nucleus

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

Engineering

Making Pytorch Transformer Twice as Fast on Sequence Generation.

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

Company

Scale AI’s Series D: Expanding our Team to Empower AI Dreamers

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

Customers

Scaling Menu Transcription Tasks with Scale Document

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

Company

Scale Hackathon

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

Engineering

Quick Start Guide to Customized API Documentation

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

Engineering

Scale AI Machine Learning Digest - Q3 2020

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

Company

Introducing: Our New API Docs

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

Company

Reaffirming Our Commitment to Building Customer Trust: Scale + SOC 2

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

Engineering

Discovering Useful Sentence Representations from Large Pre-Trained Language Models

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

Engineering

If You’re De-Biasing The Model, It’s Too Late

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

Product

Introducing: Scale Nucleus

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

People

Keeping The Team Close While Distancing

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

Company

Introducing: PandaSet. The world's most advanced LiDAR dataset for commercial use

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

Engineering

How we Scale Machine Learning

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

Product

Now Available: Scale Document

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

Product

Introducing a New Look for Scale AI Products

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

Engineering

Scale AI Machine Learning Digest - Q1 2020

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.

Apr 6th, 2020

Company

Supporting researchers and our community during COVID-19

As the COVID-19 pandemic continues to spread, it affects all of our communities in different ways. The health and safety of Scale’s employees, as well as our global community of labelers, is a critical matter and a responsibility we do not take lightly. We also want Scale to make a contribution to combating this disease if we can.

Mar 17th, 2020

Company

Open Sourcing the World's First AV Dataset for Wintry Environments

In partnership with researchers from the University of Toronto and University of Waterloo, Scale AI is pleased to announce the release of the Canadian Adverse Driving Conditions (CADC) dataset. The CADC dataset is the first of its kind to advance perception under winter driving conditions.

Feb 3rd, 2020

Engineering

How to Label 1M Data Points/Week

How do you scalably maintain the quality of labels, without having labelers check each other’s work? Take a deep dive into how we solved this problem while working with OpenAI on fine tuning their GPT-2 model.

Nov 12th, 2019

Company

Scale AI Selected as One of America's Most Promising AI Companies

Scale AI is pleased to be selected as one of America's Most Promising Artificial Intelligence Companies by Forbes.

Sep 17th, 2019

Company

Scale AI Selected as One of LinkedIn’s 2019 Top Startups in the U.S.

Scale AI is pleased to be selected as one of LinkedIn’s 2019 Top Startups in the U.S. Read on to find out the top three reasons you should join Scale AI.

Sep 4th, 2019

General

Is Elon Wrong About LiDAR?

Elon Musk recently took a high-profile swipe at LiDAR technology, predicting that "anyone relying on LiDAR is doomed" and that the only hardware Tesla needs is the existing suite of cameras and sensors installed on their vehicles. As leaders in data annotation or data labeling for autonomous driving companies, we compared training data from both camera and LiDAR to figure out how well each system will work.

Aug 12th, 2019