Making data accessible to everyone
We believe working with data should feel like having a conversation, not writing a thesis.
Meet the team
Focused team building the future of data work.
Gari Boateng
CEO & Co-founder
Kellen Sun
CTO & Co-founder
Jierui Chen
Head of Product
Our story
Pairenthesis started with a simple observation: most people who work with data aren't data scientists. They're analysts, operations managers, founders, and marketers who spend too much time fighting spreadsheets.
We started as a data cleaning tool, but our users taught us something important: cleaning data is just the beginning. They wanted to understand their data, ask questions, and get answers without learning SQL or Python.
In 2026, we pivoted. We rebuilt Pairenthesis from the ground up as a conversational data intelligence platform. One that understands what you mean, not just what you type. One that catches mistakes before they become expensive problems.
Our mission is to make data work for everyone, regardless of technical background.
What we believe
Simplicity first
Complex problems deserve elegant solutions. We remove friction, not add features.
Data belongs to you
We process locally when possible. Your data never trains our models.
Speed matters
If it takes more than 3 seconds, we consider it broken.
Our journey
Founded in San Francisco with a vision for accessible data tools
First prototype built - focused on data cleaning automation
Launched private alpha with 50 beta testers
Added conversational AI layer after user feedback
Rebuilt core architecture for enterprise scale
Pivoted to full-stack data intelligence platform
Public waitlist opens - new chapter begins