Data Enrichment Innovator CrowdFlower Collects, Labels, and Cleans Data from an On-Demand Workforce


This post is part of our live coverage of FinovateFall 2014.

Our next presenter is CrowdFlower, demoing its data enrichment platform for data scientists.

Financial statements are notoriously difficult to decipher. CrowdFlower puts an end to messy and incomplete financial services data that contributes to a poor customer experience. We are demonstrating how CrowdFlower can quickly and easily collect, clean, and label financial transaction data, from an online, on-demand workforce of over 5M contributors to help businesses provide a superior customer experience.
Presenting: Tatiana Josephy (VP Product) & Seth Teicher (Head of Content & Business Development)
Product Launch: 2009
Metrics: 80+ employees, 5M contributors, 1.5B judgments completed, 7 years of work is completed in one day on the platform.
Product distribution strategy: Direct to Business (B2B), licensed
HQ: San Francisco, CA
Founded: 2009
Twitter: @CrowdFlower

Crowdflower Raises $12.5 Million in Funding


CrowdFlower, the company that uses crowdsourcing for data scrubbing, announced yesterday it raised some cash to help it bloom.

The newest installment, which was led by Canvas Ventures, brings the San Francisco company’s total funding to $28 million. Other investors in this round include Bessemer Venture Partners and Trinity Ventures.


CrowdFlower, which does data work for companies such as Home Depot and Cisco, pays more than 5 million people to contribute to the data scrubbing. Some of the applications include:

    • Data Collection & Enhancement
    • Content Moderation
    • Search Relevance Tuning
    • Sentiment Analysis

CrowdFlower plans to use the new funds to grow its product and customer base.

To see CrowdFlower demo its newest technology live, come see them at FinovateFall next week in New York. We still have a few tickets left.