
Quadrillion builds Qualia, an AI research-agent platform for notebook-based data science workflows.
Quadrillion Labs raised a Seed round of seven million in January 2026 led by Audacious Ventures and Conviction, with participation from Bloomberg Beta and ex/ante. The company is also backed by angel investors including Wes McKinney, creator of the Pandas library. The funding will support product development and go-to-market efforts for Qualia, an AI research agent platform designed to unlock the same productivity shift for research that AI copilots delivered for software engineering.
The company is headquartered in New York City and employs a team of approximately 9 people. Its revenue model is enterprise SaaS with seat-based pricing and usage-based expansion, targeting quant firms and advanced data science teams.
Qualia is an AI research agent platform built by Quadrillion Labs that integrates with Jupyter-style notebooks to run autonomous experiments. Users interact through natural conversation, and Qualia writes, executes, and manages experiments, analyzes results, and displays findings inline. Core features include parallel agents for hypothesis testing, autonomous mode for unattended research, task graphs with dependencies, and knowledge tracking with provenance.
The platform supports SOC 2 Type II and HIPAA compliance, with enterprise SSO and cloud or local deployment options. It targets quant firms, research-focused enterprises, and advanced data science teams that need agentic experimentation and collaboration around computational research.
Quadrillion differentiates Qualia by embedding directly into Jupyter-style research environments rather than requiring a separate IDE or workspace. The platform treats experiments as first-class objects rather than code artifacts, enabling parallel agent execution and autonomous research that runs unattended for hours. Qualia also produces fully sourced research outputs with citations and auditable writeups, making complex technical work accessible to non-technical stakeholders.
The company targets quant firms, research-focused enterprises, and advanced data science teams where speed and reproducibility are critical. Its competitive positioning against tools like Hex and Deepnote is that it is purpose-built for researchers rather than general-purpose analytics or collaborative notebooks.
Quadrillion Labs develops Qualia, an AI research agent platform that integrates with Jupyter-style notebooks to run autonomous experiments. The product enables users to write and execute code, manage experiments, analyze results, and display findings through natural language interaction. Key features include parallel agents for hypothesis testing, autonomous mode that runs unattended for hours, task graphs with dependencies, and knowledge tracking with provenance.
The platform is positioned for quant firms, research-focused enterprises, and advanced data science teams that need agentic experimentation and collaboration around computational research. It supports both cloud and local deployment, with SOC 2 Type II and HIPAA compliance, enterprise SSO, and integrations with data warehouses and collaboration tools.