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Trifacta

575 Market St, 11th Floor, San Francisco, California, 94105, United States

Overview

Trifacta builds a self-service data wrangling platform for cleaning and preparing data used by analytics and ML teams. The platform is used by tens of thousands of users at more than 10,000 companies, including Deutsche Boerse, Google, Kaiser Permanente, New York Life and PepsiCo. Its data preparation technology is also leveraged by AI software vendors such as IBM and Google Cloud, which distribute Trifacta as their data-preparation standard. The company plans to use the new capital to accelerate adoption of its data wrangling platform and to expand into new geographies, verticals and product areas. Led by CEO Adam Wilson, Trifacta intends to continue growing its customer base and product footprint. The company secured $100M in financing in September 2019. Trifacta provides a cloud platform that leverages research in human-computer interaction, scalable data management and machine learning to facilitate data preparation. Its solution enables customers to balance self-service and data governance through collaborative curation and crowdsourcing of new data products. The platform supports deployments in Amazon Web Services, Google Cloud Platform and Microsoft Azure. Tens of thousands of users at more than 10,000 companies, including Deutsche Börse, Kaiser Permanente, New York Life and PepsiCo, use the platform globally. The company raised $48M in financing in the described round and has $124M in total financing to date. It intends to use the new funds to continue development of its data-wrangling platform and to accelerate cloud and geographic expansion. Trifacta provides data wrangling software aimed at enabling non-technical users to prepare data for exploratory analytics and enterprise analysis. Led by CEO Adam Wilson, the product focuses on transforming and enriching raw, complex big data into clean, structured formats. The company will integrate its data wrangling solution into the Infosys Information Platform (IIP) and other Infosys platforms and offerings as part of the investment. Infosys made an undisclosed investment in Trifacta. Trifacta is backed by Accel Partners, Greylock Partners and Ignition Partners. No revenue, user, valuation or deal-size figures were disclosed in the article. Trifacta is a San Francisco-based provider of data wrangling software that helps enterprises prepare big data for analysis. Its platform leverages human-computer interaction, scalable data management and machine learning to enable users to transform and enrich raw, complex data into clean, structured formats. The company offers Trifacta Wrangler, a free connected desktop edition of its software. Trifacta has users at more than 3,000 companies across 105 countries, with customers including Citco, TeliaSonera, Royal Bank of Scotland, Proctor & Gamble, Juniper Networks, Sanofi, Kaiser Permanente, Pfizer and PepsiCo. The company raised $35M in growth-stage financing and has raised more than $76M to date. It intends to use the funds to grow its global field organization and continue to innovate its products. Trifacta provides a data-transformation platform that automates converting raw data from sources like Hadoop into formats consumable by visualization and BI tools. Its interface suggests dropdown steps to manipulate data and then compiles those transformations into code that can run on big data environments. The company was founded in 2012 out of research at UC Berkeley, Stanford, and the University of Washington by Joe Hellerstein, Sean Kandel, and Jeffrey Heer and is based in San Francisco. Pricing is based on the volume of data processed and typically starts around $100,000 to $150,000. Customers span government and private sectors including media, healthcare, and IT; Lockheed Martin reported reducing a healthcare analytics workflow from six weeks to a single day using Trifacta. The company intends to use new financing to expand sales and marketing to reach more customers.

Total raised
$224M
Funding rounds
7
Latest round
Equity
Latest activity
Sep 2019

Industries

  • Analytics
  • Artificial Intelligence (AI)
  • Big Data
  • Data Management
  • Information Technology
  • Machine Learning
  • SaaS
  • Software
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Recent funding

  1. Equity

    Sep 2019

    $100M

  2. Equity

    Jan 2018

    $48M

  3. Equity

    Feb 2016

    $35M

  4. Series C

    May 2014

    $25M

  5. Series B

    Dec 2013

    $12M

Team