finance_ops · finance · workflow
Captide redefines equity research with agentic workflows on LangGraph and LangSmith
Investment research analysts faced inefficiency extracting financial metrics from large volumes of regulatory filings and investor relations documents, constrained by the fixed-schema limitations of legacy platforms that could not accommodate customized or scalable analysis.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User defines analysis task
Users articulate complex analysis tasks in natural language to initiate the workflow.
Tools used
LangGraphLangSmithLangGraph PlatformLangGraph Studiotrustcall
Outcome
Captide's agents autonomously orchestrate data retrieval and processing from large financial document corpora, enabling analysts to create customized datasets with extreme efficiency, with continuous improvement driven by user feedback.
What failed first
Legacy platforms imposed fixed-schema constraints that prevented analysts from building customized datasets or adapting analysis to specific company metrics.
Results
Volumeexponentially larger volumes
Grounding & classification
Source type: platform led case
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agentic workflowdata extractionmulti agent workflowragpolicy documentnamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedfinancial servicescycle time reductionemployee productivityplatform led casefinance opsagentic task executiondocument to record