The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Exoskeletons
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Markets
    • Agriculture
    • Healthcare
    • Logistics
    • Manufacturing
    • Mining
    • Security
  • Financial
    • Investments
    • Mergers & Acquisitions
    • Earnings
  • Resources
    • Careers
    • COVID-19
    • Digital Issues
    • Publications
      • Collaborative Robotics Trends
      • Robotics Business Review
    • RBR50 Winners 2022
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • Healthcare Robotics Engineering Forum
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
    • Leave a voicemail

Scale AI raises $100M Series C for annotation services to train AI

By The Robot Report Staff | August 5, 2019

Scale AI robotics annotation

Scale AI can label multiple classes of objects. Source: Scale AI

Scale AI Inc. today announced on its blog that it has raised $100 million in a Series C round of funding, bringing its valuation to more than $1 billion. The company is building software to annotate images for training artificial intelligence for robots, self-driving cars, and drones. It is also working on natural language processing.

“Our mission at Scale is to accelerate the development of AI applications,” wrote Alexandr Wang, CEO of San Francisco-based Scale AI. “We’re proud of what we’ve built over the last three years.”

Founders Fund led the round. Accel, Coatue Management, Index Ventures, Spark Capital, and Thrive Capital participated, as did Kevin Systrom, Mike Krieger, and Adam d’Angelo.

Scale was founded in 2016 and raised $18 million last August. Index Ventures, Accel, and Y Combinator were involved in the Series B round.

Scale AI builds on big data

The company described its offerings as “the data platform for AI.” Scale AI’s software takes “a first pass at marking up pictures before handing them off to a network of some 30,000 contract workers, who then perform the finishing touches,” noted Bloomberg Businessweek.

“What we noticed after working on AI at some of the most advanced organizations in the world was that building machine learning systems was challenging due to a lack of mature infrastructure,” Wang wrote. “In particular, we noticed that the critical bottleneck to further progress today was data — in particular, labeled datasets.

“It takes billions or tens of billions of examples to get AI systems to human-level performance,” he said. “There is a really big gap between the handful of giant companies that can afford to do all this training and the many that can’t.”

Scale AI development cycle

The AI development cycle depends on labeling high-quality data. Source: Scale AI

Customers send Scale their video or audio data via an application programming interface (API) call. It is then analyzed by a combination of tools and human review. Scale AI maintains an index of large-scale open data sets for a variety of applications on its site.

With high-quality data, Scale said, its customers can build safe and unbiased AI systems, accelerate time to develop their applications, and keep up with larger companies that have access to data for training machine learning.

Scale said its approach makes it easy for companies that want to use machine learning or deep learning to get started with their data sets or open ones, as well as to optimize their systems and scale up.

The company said that its sensor fusion, video annotation, semantic segmentation, and tools for 2D and 3D shapes can help robots and autonomous systems with environmental perception, inventory handling and sorting, predictive maintenance, quality control, and logistics management.

Other potential uses for Scale AI’s services include e-commerce, mapping, augmented and virtual reality, and inventory management systems.

Who’s who of customers

Scale AI offers its services in an on-demand or an enterprise service model, and it says its services are scalable.

Its customers include leading self-driving and AI companies such as General Motors Co.’s Cruise spinoff, nuTonomy, OpenAI, the Toyota Research Institute, Uber Technologies Inc., and Alphabet Inc. unit Waymo LLC.

Wang acknowledged that there are “many problems beyond the training data bottleneck for us to solve to continue accelerating AI development.” He also said that Scale is looking for partners, engineers, and business staffers.

Comments

  1. Victor says

    August 20, 2019 at 6:42 pm

    How do I invest in your company?

    Reply

Tell Us What You Think! Cancel reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Related Articles Read More >

Robust.AI grace software and Carter mobile robot
Robust.AI announces new Grace software suite
MiR interface
MiR unveils new software for its AMRs
Ubuntu Core 22
Ubuntu Core 22 now supports real-time compute for robotics
SICK
SICK launches Monitoring Box for cloud-based sensor monitoring

2021 Robotics Handbook

The Robot Report Listing Database

Latest Robotics News

Robot Report Podcast

Anders Beck introduces the UR20; California bans autonomous tractors
See More >

Sponsored Content

  • Magnetic encoders support the stabilization control of a self-balancing two-wheeled robotic vehicle
  • How to best choose your AGV’s Wheel Drive provider
  • Meet Trey, the autonomous trailer (un)loading forklift
  • Kinova Robotics launches Link 6, the first Canadian industrial collaborative robot
  • Torque sensors help make human/robot collaborations safer for workers

RBR50 Innovation Awards

Leave us a voicemail

The Robot Report
  • Mobile Robot Guide
  • Collaborative Robotics Trends
  • Field Robotics Forum
  • Healthcare Robotics Engineering Forum
  • RoboBusiness Event
  • Robotics Business Review
  • Robotics Summit & Expo
  • About The Robot Report
  • Subscribe
  • Advertising
  • Contact Us

Copyright © 2022 WTWH Media LLC. All Rights Reserved. The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media
Privacy Policy | Advertising | About Us

Search The Robot Report

  • Home
  • News
  • Technologies
    • Batteries / Power Supplies
    • Cameras / Imaging / Vision
    • Controllers
    • End Effectors
    • Microprocessors / SoCs
    • Motion Control
    • Sensors
    • Soft Robotics
    • Software / Simulation
  • Development
    • Artificial Intelligence
    • Human Robot Interaction / Haptics
    • Mobility / Navigation
    • Research
  • Robots
    • AGVs
    • AMRs
    • Consumer
    • Collaborative Robots
    • Drones
    • Exoskeletons
    • Industrial
    • Self-Driving Vehicles
    • Unmanned Maritime Systems
  • Markets
    • Agriculture
    • Healthcare
    • Logistics
    • Manufacturing
    • Mining
    • Security
  • Financial
    • Investments
    • Mergers & Acquisitions
    • Earnings
  • Resources
    • Careers
    • COVID-19
    • Digital Issues
    • Publications
      • Collaborative Robotics Trends
      • Robotics Business Review
    • RBR50 Winners 2022
    • Search Robotics Database
    • Videos
    • Webinars / Digital Events
  • Events
    • RoboBusiness
    • Robotics Summit & Expo
    • Healthcare Robotics Engineering Forum
    • DeviceTalks
    • R&D 100
    • Robotics Weeks
  • Podcast
    • Episodes
    • Leave a voicemail