Blog Post

The Technical Edge: AI-First Intelligence

1 min read

A deep dive into the AI-first architecture and proprietary knowledge graph that powers Frism's reasoning engine.

The Technical Edge: AI-First Intelligence

Frism is built from the ground up for the AI era, moving beyond simple keyword matching to true semantic synthesis.

AI-First Architecture

Our system leverages frontier models (Gemini 3 Pro / GPT-5) with massive context windows. This allows Frism to ingest years of historical correlation data alongside thousands of global RSS feeds, regulatory filings, and social signals in real-time with low latency.

Relational Knowledge Graph

The core of our technical moat is a proprietary Relational Knowledge Graph. This reasoning backbone encodes “event-to-effect” correlations, mapping how geopolitical and macroeconomic events logically ripple down to asset-level impacts.

Mapping Non-Obvious Linkages

By transforming raw text into structured intelligence, our engine identifies connections that humans might miss:

  • Policy → Portfolio: Calculating how a new tax amendment ripples down to the margins of a specific supplier.
  • Macro → Micro: Connecting a spike in commodity prices directly to the cost-of-goods-sold (COGS) impact on your holdings.
  • Geopolitics → Sentiment: Decoding how diplomatic shifts affect “Risk-Off” sentiment for emerging market equities.

Frism provides the institutional-grade reasoning that modern investors need to stay ahead of the curve.