We serve the intersection of big-data, cloud, and natural language processing.

Philter

The presence of protected health information (PHI) can be a difficult problem to solve in many areas of healthcare. Philter removes or anonymizes PHI from natural language text.

NLP Flow

Create powerful natural language processing pipelines to ingest and process text without writing any code. Free to use.

Recent Blog Posts

10 Jun
Dataworks Summit 2019

Recently (in May 2019) I had the honor of attending and speaking at the Dataworks Su...

26 Feb
Creating an N-gram Language Model

A statistical language model is a probability distribution over sequences of words. (source)...

24 Feb
Entity Extraction from Natural Language Text in a Data Flow Pipeline

Entity Extraction from Natural Language Text in a Data Flow Pipeline

This brief slide show i...

24 Feb
NLP Flow Now Supports AllegroGraph

NLP Flow (in version 1.3.0) now supports AllegroGraph as an entity store. Supporting Allegro...

Let's Talk!

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