RavenPack and WorldQuant "Data Creation Challenge"
This initiative brings together WorldQuant’s BRAIN® global research consultant community and RavenPack’s data infrastructure to explore new ways of working with financial data.

Nitish Maini
Chief Strategy Officer AT WorldQuant
The world is at a fascinating inflection point: with the proliferation of data and AI, we’re reaching a place where you can quantify almost anything. By powering innovation in dataset creation, this competition is a natural extension of the initiatives we’re always looking to pursue as we seek to amplify the BRAIN platform and empower our thousands of consultants worldwide.
The Collaboration
Rather than announcing innovation after the fact, this initiative makes a strategic collaboration observable as it unfolds. It reflects a shared belief that meaningful financial innovation happens when institutional-grade data infrastructure and global research communities work together - openly, responsibly, and at scale.
Transparent participation. Protected intelligence.
Progress is shared at an aggregate level to highlight learning and momentum, while individual research, models, signals, and methodologies remain confidential.


Armando Gonzalez
CEO AT RavenPack
At RavenPack, we believe innovation in finance accelerates when high-quality data infrastructure is made accessible in real research conditions. This collaboration with WorldQuant allows us to demonstrate - openly and responsibly - how institutional-grade data can support global research without compromising governance, rigor, or trust.
Research in Progress
Each week, we highlight a learning theme emerging from the research process. These updates focus on how data is being explored and structured, not on outcomes or performance. The initiative follows a clear research arc, from early exploration to final reflection.


01
Kickoff and framing
Phase 01Researchers begin by framing how unstructured information can be transformed into finance-ready datasets. Early exploration focuses on how different data representations influence usability, scalability, and interpretability - highlighting the importance of structure at the start of the research process.
Weekly updates & learning themes
Each week, we highlight a learning theme emerging from the research process. These updates focus on how data is being explored and structured, not on outcomes or performance.
The initiative follows a clear research arc, from early exploration to final reflection.
Focus on signals, not infrastructure
This initiative gives researchers immediate access to premium financial content through production-ready data infrastructure, removing the need to build ingestion, storage, or search systems. With point-in-time entity detection and hybrid search designed for financial workflows, participants can focus on creating features, structuring datasets, and refining signals - moving from exploration to production-ready research at scale.


What this collaboration demonstrates
This initiative illustrates how open collaboration and institutional discipline can coexist.
- Open research collaboration at global scale
- Real-world use of modern financial data infrastructure
- Transparency without exposure of proprietary intelligence
- A repeatable model for future community-driven research initiatives
Explore the data infrastructure behind the initiative
The datasets explored in this initiative are powered by Bigdata.com - RavenPack's open, API-first platform for working with structured and unstructured financial data.
Designed for real research workflows, Bigdata.com allows developers and data scientists to search, structure, and build datasets at scale, using infrastructure that is both experimentation-ready and production-grade.
Whether you are exploring new data ideas or building systems that rely on consistent, finance-ready inputs, Bigdata.com provides the foundation.
