FRISM

Smart News for Active Portfolios

Core Premise: Transforming headlines to asset-level insights.

1. Executive Summary

Frism is an AI-native intelligence layer for modern investors. It transforms the global firehose of financial news and data into dynamic intelligence feed with deep, asset-level insights. Unlike traditional news apps, Frism identifies the hidden correlations between macroeconomic shifts, policy changes, and portfolio-specific impacts, providing users with the "why" behind market movements.

2. The Problem: Infobesity

  • The Data Deluge: The global financial ecosystem generates over 2 million articles and filings daily. For the active investor, this creates a 'Bandwidth Gap'—the volume of decision-critical text is scaling exponentially, while human cognitive capacity remains fixed.

  • The Analysis Gap: Traditional tools aggregate news but do not analyze it. Humans cannot manually connect a sudden policy shift in the EU to a specific supply chain impact on an Indian mid-cap stock fast enough to act.

  • Signal Decay: The window to act on information is shrinking; manual correlation is no longer a competitive strategy.

3. The Solution: A Reasoning Engine

Frism acts as the Intelligence Layer above the news. It leverages Large Language Models (LLMs) to perform:

  • Semantic Synthesis: Not just keyword matching, but understanding the intent and magnitude of news.

  • Cross-Asset Mapping: Connecting a macro event (e.g., a Fed rate hike or a change in Chinese export policy) directly to its impact on specific equity portfolios.

  • Contextual Alerting: Moving beyond "breaking news" to "impact alerts"—notifying the user only when a news event logically threatens or boosts their specific holdings.

  • Market Impact Feed: A prioritized stream of articles where every piece of news is enriched with an automated "Why it matters to you" reasoning layer, highlighting specific sector and stock impacts.

4. Competitive Moat: Hidden Correlations

Frism's unique value lies in its ability to map Non-Obvious Linkages:

  • Policy → Portfolio: Automatically calculating how a new Indian GST amendment for a specific sector ripples down to the margins of a Tier-2 supplier.

  • Macro → Micro: Connecting a spike in Brent Crude prices not just to "Oil & Gas" but to the specific cost-of-goods-sold (COGS) impact on a paints or chemicals portfolio.

  • Geopolitics → Sentiment: Decoding how a diplomatic shift in the Middle East affects the "Risk-Off" sentiment for emerging market equities (FII flows).

5. Technical Edge

  • AI-First Architecture: Built to leverage frontier models (Gemini 3 Pro / GPT-5) with massive context windows to ingest years of historical correlation data.

  • Relational Knowledge Graph: A proprietary reasoning backbone that encodes "event-to-effect" correlations. This graph maps how geopolitical and macroeconomic events logically ripple down to specific sector and asset-level impacts.

  • Low-Latency Pipeline: Designed for high-speed ingestion of thousands of global RSS feeds, regulatory filings, and social signals.

6. Use Cases

  • Business Analysts & Economists: High-signal, focused news reading for time-pressed professionals who need to decode macroeconomic ripple effects and event-to-effect correlations instantly.

  • Active Retail Investors: Access to institutional-grade reasoning for portfolio management, moving from raw headlines to actionable foresight.

  • Corporate Strategy & Leadership: Monitoring competitor news, industry policy shifts, and supply chain threats with logical correlation to business strategy.