CrowdFlower provides an AI-powered platform for data science and machine learning teams to generate customized training data or automate business processes with models and integrated human-in-the-loop workflows. Its software 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. The company is led by CEO Robin Bordoli. CrowdFlower raised $20M in venture capital to extend its platform functionality and develop integrations into other machine learning technologies. The company plans to grow operations by hiring data scientists, machine learning experts, engineers, customer success managers, and sales and marketing professionals. CrowdFlower is based in San Francisco, California. CrowdFlower is a San Francisco, CA–based platform for data science teams that offers CrowdFlower AI. The product enables data teams at Fortune 500 and other data-driven organizations across industries to create machine-learning models using human-labeled training data. It allows companies to convert instructions in plain English into commercially viable machine-learning models that can replace humans in parts of business processes. The company is led by founder and CEO Lukas Biewald. CrowdFlower recently raised $10M in venture capital funding. The company intends to use the funds to accelerate adoption of CrowdFlower AI. CrowdFlower provides a data enrichment platform for data scientists to collect, clean and label data to make it useful. The solution automates the management of online contributors to tackle tasks requiring human intelligence, including search relevance tuning, data categorization, image annotation, metadata creation, sentiment analysis, transcription and de-duplication. The company says the platform helps businesses tackle large quantities of repetitive work, capable of delivering up to seven years of work in a single day. CrowdFlower's platform is used by customers including eBay, Edelman, EventBrite, The Home Depot, VMWare and Venuelabs. Founded in 2009 and based in San Francisco, the company raised a $12.5M Series C to continue to grow operations. The funding brings total capital raised to $28M. CrowdFlower provides a marketplace and tooling to break work into units that can be completed by individual workers across channels such as Amazon Mechanical Turk, its own labor force, and a Facebook application. The company prices tasks per unit based on time-to-complete, runs quality-control checks, and retains high-performing workers while showing clients worker accuracy and productivity. It offers an API and customized dashboard to automate data transfer and recently released an e-commerce categorization product that it says achieves 95% accuracy. A prior data-collection offering verifies business listings and local directories on the web. To date CrowdFlower has completed 85.04 million tasks, including 8.6 million tasks in the most recent month. The company faces competition from CloudCrowd and plans to use new funding to scale the business and develop additional products. CrowdFlower operates a web platform that breaks work into time-priced units and distributes tasks across channels including Amazon Mechanical Turk, its own workforce, and a Facebook application. The company focuses on data collection, content moderation, and search relevance, and performs quality-control checks to surface productive, high-rated workers. CrowdFlower launched at TechCrunch50 in 2009 as a product of Dolores Labs. Since launch it has completed more than eight million tasks, managed 125,000 unique workers, and grown revenue by over 750 percent. The startup recently partnered with Gambit to allow gamers to earn virtual currency by completing bite-sized tasks. CrowdFlower says it will use the new funding to further product development and expand its services globally.

Total raised

$56M

Funding rounds

6

Latest round

Equity

Latest activity

Jun 2017