Q
Overview
Quadrillion Labs builds Qualia, an AI-powered platform that augments and automates computational research inside researchers’ notebooks, especially Jupyter. It acts as both copilot and autonomous research agent to design, execute, and analyze experiments, delivering code, analysis, and visualizations within the same environment. It differentiates itself by being notebook-native with end-to-end experimentation, parallel runs, enterprise security, and on-premise options for teams. Its goal is to speed up computational research by turning ideas into validated, shareable results at scale.
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Simplify's take
What believers are saying
- October 2026 releases added browser tabs, shared workspaces, and scheduled pipelines.
- September 2026 connectors reached BigQuery, GitHub, Notion, OneDrive, and MCP servers.
- Quadrillion raised about $18 million from Conviction, Audacious, Bloomberg Beta, and ex/ante.
What critics are saying
- Pro costs $20 and Max $100, creating pressure before enterprise revenue lands.
- Ten-person New York staffing is tiny against incumbent notebook and AI research platforms.
- If autonomous experiments generate bad outputs, one trust failure can kill enterprise adoption.
What makes Quadrillion unique
- Qualia runs inside Jupyter notebooks and exports standard .ipynb files, not a separate editor.
- Ethan Chi brings Hudson River Trading and Stanford NLP credibility to quant workflows.
- Qualia automates experiments, analysis, and visualizations for quants, researchers, and data scientists.
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