CLARGUS FOR DATA SCIENTISTS
The hard part isn’t another model. It’s understanding the market it models.
Financial data is fragmented across documents, entities, time, and relationships. Clargus connects that context in a market knowledge graph and provides reusable research building blocks, so data scientists can focus on novel signals rather than repeatedly engineering the same plumbing.
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Beta waitlist is open
WHAT YOU DO WITH CLARGUS
The same research infrastructure, shaped to your work.
Give models richer market context
Connect structured and unstructured evidence to companies, events, and market relationships.
Explore features beyond flat tables
Use graph structure and changes over time to formulate hypotheses that isolated datasets may miss.
Build on reusable research primitives
Compose collection, extraction, entity linking, graph analysis, and evaluation into workflows.
Turn prototypes into repeatable research
Run, inspect, and iterate on a defined pipeline rather than relying on one-off notebooks.
Start compounding your market research.
Institutional-grade intelligence, agents, and verifiable research for data scientists.
Join Waitlist Beta waitlist is open