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Clean Your Business’s Data.

Parseflow allows you to use business-specific data attributes to clean and normalize your data. 

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You’re an Industry Expert. Unleash that Expertise on Your Data.

DOWNLOAD EXPERTISE

Build a Library of Parsing Entities

OPERATIONALIZE

Create Flows to Extract Entities from Your Data

INTEGRATE

Use Structured Data Through CSV or API

STORE EXPERTISE

Build a Library of Parsing Entities

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OPERATIONALIZE

Create Flows to Extract Entities from Your Data

arrow-mobile

INTEGRATE

Use Structured Data Through CSV or API

arrow-mobile
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A Complete Data Cleaning Process

Parseflow is the only tool for both the industry expert and the application developer. With an integrated content library, managed by the industry expert, and the extraction tools and APIs to integrate into an application, Parseflow makes the process of structuring data significantly easier.

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Build Your Library of Parsing Entities

Natural Language Processing is great for common content, but for most B2B businesses, that doesn’t cut it. With an easy-to-use tool, industry experts can build a taxonomy and library of critical things they are looking for (entities).

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Extract Entities from Your Data

Once your entity library is complete, build a “Flow” to mine your data sets for those entities, thereby turning unstructured data into structured data. Run a Flow online at Parseflow.com, directly in your application through our API, or embed a widget for a larger audience of public, external users.

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Visualize Results, Measure Performance

View all the results of your Flow’s “Runs” and utilize the results through either a CSV download or through an API. Also, track key performance metrics allowing for a quick understanding of account utilization.

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Move Fast: Leverage the Expertise of Others

Looking for a taxonomy or entity database but lack expertise or time? No worries, Parseflow has a list of publicly available Libraries, built and maintained by industry experts.

Want Free Access When We Launch?

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Parseflow, a Subscribe Labs Brand | Copyright 2015