Expert: R. Shah | Asset: HUL
Margin recovery likely over the next two quarters as input inflation moderates.
Turn financial noise into structured, actionable intelligence
Follow what matters. Skip distractions. Summarized insights from financial experts, research reports, and market signals - all in one focused feed.
Focused feed preview
Expert: P. Nair | Asset: TCS
Management commentary points to slower near-term demand but resilient deal pipeline.
Expert: A. Gupta | Asset: NIFTY IT
Sentiment shifts from cautious to neutral after revised guidance and valuation reset.
Financial content is fragmented and time-consuming
- Investors follow multiple experts across platforms
- Videos are long, often distracting, and not always accessible
- Research reports are dense and difficult for retail users
- Important insights are buried in noise
A structured layer on top of financial content
WithinMarket converts unstructured financial content into structured, queryable intelligence.
- Short summaries for quick understanding
- Deeper breakdowns without unnecessary complexity
- Focused feeds based on user interests
- Ability to explore only relevant insights
Products
Trends (B2C)
A focused financial feed for everyday investors
Track insights from financial experts, YouTube content, and research reports - without distractions.
- - AI summaries of YouTube videos
- - Simplified research report insights
- - Search across experts and assets
- - Feed personalized to user interests
Unlike YouTube: no distractions. Unlike Twitter: structured, signal-focused insights.
Insights (B2B - Coming Soon)
Intelligence layer for financial professionals
Designed for wealth managers, advisors, and financial institutions to extract structured insights from large volumes of financial documents.
- - Document ingestion (PDF, scanned reports)
- - OCR for financial documents
- - RAG-based querying
- - Chat with citations from research reports
- - Analytics dashboards on extracted data
Deployment: SaaS and on-premise
Built on a financial knowledge graph
- - 25,000+ research reports processed
- - Entities extracted: assets, sentiment, time horizon, macro indicators, source attribution
- - Relationships modeled: who said what, about which asset, with what sentiment, in which context
- - Stored in a graph database (Neo4j)
This enables structured querying, better summarization, and explainable insights with citations.
$ query insight_graph
Asset: HUL | Sentiment: Positive | Source: XYZ Report
Expert: P. Nair | Horizon: 2Q | Context: Margin expansion
// citation backed node path
(Expert)-[MENTIONED]->(Asset)-[IN_CONTEXT]->(MacroIndicator)
From documents to decisions
OCR for financial documents
Works on scanned and text PDFs, then extracts structured financial content for downstream analysis.
Research report simplification
Converts complex reports into concise summaries with clear language and direct takeaways.
Chat with citations
Ask questions and get responses linked to specific report sections with source context side-by-side.
Graph-based insights
Visualize relationships across assets, sentiment, and experts for a clearer view of market narratives.
Powered by the same system behind Trends
The same intelligence engine powers both investor-facing summaries in Trends and enterprise-grade Insights workflows.
Demo placeholder: workflow preview and live query console