Product Landscape Insights
We leverage Large Language Models (LLMs) and Knowledge Graphs to dissect complex market landscapes, uncovering hidden relationships between products, features, and competitors.
Example: Wealth Management RIA Landscape
The RIA industry represents a $30 trillion ecosystem involving finance, compliance, and client relations. We used OpenAI GPT APIs to iteratively extract and map approximately 1,000 firms into a Knowledge Graph. This allowed us to visualize the feature overlap and competitive differentiation across the entire industry.
AI-Driven Extraction
By using custom prompt engineering, we transformed unstructured vendor data into a structured graph model. This "Product Knowledge Graph" enables complex queries that traditional databases struggle with—such as identifying which vendors serve specific compliance niches while offering integrated CRM functionality.
Furthermore, we've implemented Natural Language to Cypher translation, allowing non-technical stakeholders to ask questions of the graph in plain English.
References
- [1] OpenAI GPT API Prompt Engineering for Developers - deeplearning.ai
- [2] Generating Cypher Queries with OpenAI GPT APIs - Tomaz Bratanic