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Automated Research & Data Ingestion

Buyer Thought

"Our analysts spend more time cleaning data than thinking."

Applies To

Finance

Pilot Scope

Multi-source data ingestion → normalization → validation → structured output into models & research systems

Pricing

  • One-time: $5,000–$10,000
  • Monthly: $1,000–$2,000

Why This Workflow Matters

In investment and research-driven firms, analysts routinely spend 30–50% of their time aggregating and cleaning data instead of generating insight. Automated ingestion pipelines normalize data from filings, PDFs, APIs, and internal sources into analysis-ready formats, enabling more ideas to be evaluated with the same headcount while reducing model errors. The agent continuously ingests, validates, and structures data so humans focus on judgment, not prep work.

Pain Points

  • Manual data aggregation

  • Inconsistent formats

  • Analyst time wasted on cleanup

  • Error-prone models

Problems Solved

  • Automated ingestion & normalization

  • Cleaner, faster research workflows

  • Scalable research capacity

Quantified ROI

  • 30–50% reduction in analyst prep time per research task, more ideas evaluated per quarter with same headcount, reduced model errors and rework

Key Performance Indicators

  • CEO: Ideas evaluated per analyst, research throughput
  • Operator: Prep time per dataset, ingestion success rate

Ready to implement this workflow?

Start with a 2-week pilot. See measurable results. Scale when you're ready.

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