In the News

CrowdFlower Announces Next Generation Computer Vision Solution

May 17, 2017

New capabilities enable the creation of large-scale high-quality image training sets for automotive, consumer goods, retail, technology, and medical industries

SAN FRANCISCO, May 17, 2017 — CrowdFlower, the essential human-in-the-loop AI platform for data science teams, announced at the Train AI conference today enhanced capabilities for their Computer Vision solution designed to simplify and speed up the process of annotating images. As a result, businesses can now annotate millions of images in days and weeks, rather than months and years.

“The CrowdFlower team has had a front row seat to the emergence of Computer Vision, and we’ve been able to build our platform’s capability based on the needs and requests of our customers as they figure this out,” said Robin Bordoli, CEO of CrowdFlower. “Now, new customers come to us and ask us how they should be labeling images for self-driving cars, or consumer product companies identifying SKUs on retail shelves, or aerial images from drones or satellites, or even cancer cells for medical research. We’ve taken the best practices from working with these industry pioneers to drive that learning back into the platform and how we structure successful customer engagements.”

CrowdFlower’s Computer Vision offering allows data scientists to easily create and execute an image annotation job on the CrowdFlower platform.  The platform supports line annotation, bounding box annotation, and pixel-level annotation, and leverages a combination of human and machine intelligence to create large-scale high-quality image training sets.

“A human-in-the-loop workflow is incredibly important for Computer Vision. With something like autonomous driving, errors in the AI system can be devastating,” said Dr. Barney Pell, Ph.D., AI pioneer and Machine Learning Fellow at the Creative Disruption Lab at the University of Toronto. “The quality of modern AI systems based on machine learning is most directly impacted by the quality and quantity of data. CrowdFlower helps companies improve their machine learning models by continuously providing high-quality training data at scales required for performance. Moreover, training a model is not a one-time thing — new edge cases constantly emerge, and that model needs to learn, otherwise it could fail. This is where humans come in to augment this process — serving as a great example of the theory that humans and machines are better together.”

To learn more about CrowdFlower, and its Computer Vision technology, visit www.crowdflower.com/use-case/image-annotation

About CrowdFlower

CrowdFlower is the essential human-in-the-loop AI platform for data science teams. CrowdFlower helps customers generate high-quality customized training data for their machine learning initiatives, or automate a business process with easy-to-deploy models and integrated human-in-the-loop workflows. The CrowdFlower software platform supports a wide range of use cases including self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.

Headquartered in San Francisco and backed by Canvas Venture Fund, Trinity Ventures, and Microsoft Ventures, CrowdFlower serves data science teams at Fortune 500 and fast-growing data-driven organizations across a wide variety of industries. For more information, visit www.crowdflower.com.

CrowdFlower Announces $1 Million “AI for Everyone” Challenge

New initiative to support projects using AI to make the world a better place

SAN FRANCISCO, May 17, 2017 — CrowdFlower Inc., the essential human-in-the-loop AI platform announced today the creation of a $1 Million “AI for Everyone” Challenge to help advance cutting-edge Artificial Intelligence projects.

The CrowdFlower “AI for Everyone” Challenge will make 8 awards to companies, organizations or individuals solving important problems with AI. The awards will be made on a quarterly basis throughout the next four quarters to two organizations or individuals each quarter. Each award is $150,000 in value of CrowdFlower’s products and services including access to CrowdFlower AI powered by Microsoft Azure Machine Learning.

“Every day we see a new news report on how AI is changing the future of every part of society,” said Robin Bordoli, CEO of CrowdFlower. “Despite some of the concerns around job loss, we believe in the power of AI to create positive change at all levels of society. The CrowdFlower “AI for Everyone” Challenge aims to do just that by putting the power of AI into the hands of those looking to make a difference. We expect to see applications addressing global societal challenges in the areas of healthcare, food and nutrition, and climate change. We have no doubt the passion and talent exists to solve the big problems we face, and we want to play our small part in providing the resources to those who can effect change.”

Finalists will be selected by members of CrowdFlower’s Scientific Advisory Board: Barney Pell, founder at Moon Express; Pete Warden, Staff Research Engineer at Google; Monica Rogati, independent data science advisor; Adrian Weller, Senior Research Fellow at the University of Cambridge and Lukas Biewald, founder at CrowdFlower. Selection will be based on innovation of the project, importance to the advancement of AI and overall impact of the proposed initiative.

Interested parties can apply for the CrowdFlower “AI for Everyone” Challenge at https://www.crowdflower.com/ai-for-everyone/. Applications for the first round will be accepted from May 17, 2017 until June 15, 2017. Winners will be notified no later than July 15, 2017.

About CrowdFlower
CrowdFlower is the essential human-in-the-loop AI platform for data science teams. CrowdFlower helps customers generate high quality customized training data for their machine learning initiatives, or automate a business process with easy-to-deploy models and integrated human-in-the-loop workflows. The CrowdFlower software platform supports a wide range of use cases including self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.

Headquartered in San Francisco and backed by Canvas Venture Fund, Trinity Ventures, and Microsoft Ventures, CrowdFlower serves data science teams at Fortune 500 and fast-growing data-driven organizations across a wide variety of industries. For more information, visit www.crowdflower.com.

Training Data And Ethical Issues Surrounding Artificial Intelligence Top of Mind For Data Scientists

April 20, 2017

Third annual data scientist survey finds data scientists would rather break leg than lose the training data used to teach AI systems to think.

San Francisco, CA, April 20, 2017 — Artificial Intelligence systems may one day drive a car, help cure diseases, or simply choose the movie we watch at night. However, the work to get there is tedious and time consuming according to the just completed third annual Data Scientist Survey conducted by CrowdFlower, the essential human-in-the-loop AI platform for data science and machine learning teams.

The survey of nearly 200 data scientists found that the jobs they hate the most – cleaning, labeling and categorizing data are where they have to spend the most time. For example, data scientists spend 500% more time cleaning, labeling and categorizing data than they spend mining the data. In fact, those surveyed said they spend double the amount of time on these laborious task than creating and building algorithms.

Read the Report

Industry trailblazers to share how to build real world AI applications at Train AI Conference

March 14, 2017

Featured speakers and sponsors include Amazon, Google, IBM Watson, Kaggle, Microsoft and Salesforce Einstein. AI Pioneer Peter Norvig to deliver opening Keynote.

San Francisco, Calif. (March 14, 2017) – CrowdFlower, the essential human-in-the-loop AI platform, today announced the company will host Train AI on May 17, 2017 at The Village in San Francisco. With a theme of applying Machine Learning in a Human World, Train AI will provide attendees with insight into real-world AI use-cases, actionable strategies, and tangible takeaways for successful implementation of AI.

Sponsored by IBM Watson, Microsoft and Salesforce Einstein, the one-day summit will feature presentations from industry leaders and technology visionaries focused on making AI work in the real world. Speakers include executives from Adobe, Amazon, Bloomberg, Google, IBM, Kaggle, Moon Express, Reddit, and Salesforce with a special keynote by Peter Norvig, Director of Research at Google.

CrowdFlower named in the Artificial Intelligence 100 list from CB Insights

January 11, 2017

Santa Barbara, CA, January 11, 2017 — CB Insights today selected CrowdFlower to the prestigious Artificial Intelligence 100 list (“AI 100”), a select group of emerging private companies working on ground breaking artificial intelligence technology. CB Insights CEO and co-founder, Anand Sanwal, revealed the winners during The Innovation Summit, a gathering of top executives and investors to explore the industries of the future.

The CB Insights research team selected the AI 100 winners based on a combination of data submitted by the companies, responses to interview questions and the company’s Mosaic Score. Mosaic is an algorithm built with funding from the National Science Foundation that gives predictive intelligence into the health of private companies

CB Insights AI List

Quick facts on the AI 100:

  • In total, these 100 emerging private companies have raised $3.8B across 263 deals since 2012, according to CB Insights.
  • Applications of their technology include breakthroughs in healthcare, drug discovery, business intelligence, gaming, manufacturing, and much more.
  • More than 1,650 companies were nominated or applied for the AI 100 (only 6% were selected).
  • Data Collective has backed 14 of the AI 100 companies, while NEA backed 8 and Bloomberg Beta backed 7.
  • There have been 9 mega-rounds (funding rounds of $100M or more) to AI 100 companies since 2014.
  • Five AI 100 companies have reached a valuation of $1B or more (also known as unicorn status).
  • 11 countries are represented among the winners.

For more information about the AI 100, visit:

https://www.cbinsights.com/research-ai-100

Artificial Intelligence and Machine Learning experts join CrowdFlower Scientific Advisory Board

November 10, 2016

SAN FRANCISCO, Nov. 9, 2016 /PRNewswire/– CrowdFlower, the essential human-in-the-loop platform for data science and machine learning teams, today announced three new artificial intelligence and machine learning industry experts – Barney Pell, Anthony Goldbloom, and Pete Warden – have joined their Scientific Advisory Board to help guide the company’s future strategy.

CrowdFlower expands into Israel

October 25, 2016

SAN FRANCISCO, Oct. 25, 2016 /PRNewswire/ — CrowdFlower, the essential human-in-the-loop platform for data science and machine learning teams, today announced its expansion into Israel with the opening of an office and the hiring of Nati Catalan to lead the company’s presence in Ra’anana.

CrowdFlower raises $10M to bring AI to every business

June 7, 2016

SAN FRANCISCO, June 7, 2016 /PRNewswire/ — CrowdFlower, the essential human-in-the-loop platform for data science teams, today announced its recent $10M venture funding. The investment round was led by Canvas Ventures, Trinity Ventures, and Microsoft. The capital will be used to fuel the adoption of CrowdFlower AI which combines training data, machine learning and human-in-the-loop in a single platform.

What Data Science Skills Employers Want Now

January 7, 2016

Alex Woodie at datanami talked with our founder Lukas Biewald about the skills data scientists need for 2016––and beyond.

Read all about it on KMWorld.

Big Data: Expediting and Validating Analyses

December 30, 2015

Mohammad Shahangian spoke to KMWorld about how CrowdFlower helps Pinterest improve their search relevance algorithms.

Read all about it on KMWorld.

Google Open-Sourcing TensorFlow Shows AI’s Future Is Data

November 11, 2015

Our CEO Lukas Biewald spoke with Cade Metz at WIRED about what open-sourced algorithms really mean for data science and innovation.

Read all about it on WIRED.

Yelp’s Using Image Search to Change How It Finds You a Bar

October 19, 2015

We got a brief mention in this WIRED article about how we helped Yelp build a better search experience

Read all about it on WIRED.

Rich Data Summit Takeaways

Zachary David Lipton over at KDNuggets shares his takeaways from the Rich Data Summit. Some really great points in here you’ll only find from an expert.

Read all about it on KGnuggets.

4 Data Science Insights from the Rich Data Summit

October 16, 2015

The smart folks at Mode attended the Rich Data Summit and shared what they learned, namely, that everyone’s still trying to define data science and that machine learning works much better with a human-in-the-loop.

Read all about it on the Mode Blog.

CrowdFlower Combines the Best of Machine and Human Intelligence with New AI Product

October 15, 2015

InsideBIGDATA takes a closer look at our machine learning tool and writes about the importance of high quality training data.

Read all about it on insideBIGDATA.

An open and candid interview with Lukas Biewald, founder and CEO of Crowdflower

July 23, 2015

Lukas joins the folks at Breakout Room to talk about how the crowd speeds up data science, why data cleaning is important, and how trying to beat Google at search led to him starting CrowdFlower.

Check out the recording on Breakout Room.

The Scary And Amazing Future Of Work

November 18, 2013

FORBES

The Future of Work is Rich in Technology and Drawbacks

November 15, 2013

THE WASHINGTON POST

Products of the Week

November 4, 2013

NETWORK WORLD

The use of task in a social business

October 26, 2013

DZONE

Crowdsourcing Gaining Foothold in the Enterprise

October 25, 2013

TECHNOLOGY EVALUATION CENTERS

Analytics Is a Real Crowd Pleaser

October 23, 2013

INTERNET EVOLUTION

Crowdsourced Workforces Rising

September 9, 2013

HUFFINGTON POST

Data Quality Blooms with CrowdFlower

July 31, 2013

FORRESTER

Robot Revolution? Scientists Teach Robots to Learn

July 18, 2013

NATIONAL GEOGRAPHIC

A clouded future

March 13, 2010

THE ECONOMIST

CrowdFlower Raises $5 Million to Boost Crowdsourcing

January 20, 2010

THE NEW YORK TIMES