FinCatch

Roadmap

What's new and what we're building. We ship regularly thanks to your feedback.

Product timeline

Phase 1

Phase 1

  • Data & infrastructure
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    Historical data: Jan 2026 data backfilling to graph.
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    Infrastructure: customized claw-on-cloud infrastructure.
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    Automation: cron jobs for automated financial research.
  • AI & core pipelines
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    Pipelines v0: management guidance pipeline and equity research pipeline.
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    Core functions: AI-enhanced financial modeling v0, graph research agent.
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    Research tools: peer sector thematic analysis, planning agent, append data to reports for task generation.
CurrentPhase 2

Phase 2

  • Data & core platform
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    Data completeness: backfilling to the current date and historical management guidance.
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    Platform UX: thesis page enhancements, charts and tables for numerical data.
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    AI context: user-specific memory and enhanced graph navigation.
  • Financial modeling (core engine & backend)
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    Revenue-based projections: FCF → revenue for negative-FCF names.
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    Real-time valuation: dynamic calcs with live market inputs.
Phase 3

Phase 3

  • Advanced AI capabilities
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    Agentic simulation: multiple autonomous agents as retail, institutions, regulators — stress-test theses and forecast complex scenarios.
  • Financial modeling (frontend & interactivity)
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    Spreadsheet-like UI: robust grid to edit models directly.
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    Interactive tools: sensitivity, reverse valuations, model update history.
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    Scenario context: AI copy explaining each scenario's rationale.
  • Product expansion
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    Discovery: thematic watchlists by sector, theme, or topic.
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    Cross-platform: native iOS and Android.
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