Siftree believes in two truths:

• It should be easy to find what any group of people are saying and doing on the internet

• It should be easy to somewhat objectively measure what they believe about any given subject

Currently, this is an extremely difficult task because:

• Finding the content is hard

• What people say (keywords), and how it is said (tone) is not what they mean (narrative).

We're on a mission to make these two truths a reality for all by:

• Enabling you to lean into your curiosity and sift through content gathered from the open web

• Enabling you to classify content into quantifiable groups

• Enabling you to analyze anything using natural language

Current techniques (such as social listening) are lying to most businesses. After years of research and failing to make significant improvements in keyword + sentiment analysis, we realized it was fundamentally the wrong approach! We spent hours digging through academic research and corporate evaluations to realize their accuracy metrics were cherry-picked for certain domains and failed across broader data sets. The truth? Keywords miss important context and nuance and sentiment analysis is a flawed approach to gauging opinions. We needed to invent something completely different.

Since then, we discovered a way to paint a picture of the entirety of the world's content and uncover the truth about how people feel about anything in a way that keywords and sentiment cannot. We've opened up this discovery to the rest of the world, enabling an individual to do what was traditionally only possible with an entire data science team.