Our process - How we work

During the Discovery phase, we work closely with your investment team to understand your thesis, strategy, and the specific data gaps you need to fill. We immerse ourselves in your workflow to identify the highest-impact alternative data opportunities.

Our team evaluates existing data sources, assesses coverage universes, and maps out data requirements tailored to your investment process.

Based on the discovery phase, we build custom data pipelines that source, clean, normalize, and deliver alternative datasets directly into your investment workflow.

Our data engineers and quantitative analysts collaborate to build robust ETL processes, ensure data quality, and develop predictive signals from raw alternative data sources.

Throughout the build phase, we share sample datasets, conduct backtests, and iterate on signal quality with your research team. This ensures the data meets your standards before full deployment.

The result? Investment-ready datasets and signals tailored to your specific strategy, delivered with full transparency on methodology.

In the Deliver phase, we bring your vision to life by translating the meticulous planning and collaboration from the previous phases into a tangible product. This is the stage where the culmination of our efforts takes center stage, as your solution is prepared for launch.