Shreg — AI apps built on knowledge graph expertise

How it works

From training methods to working apps

Knowledge graphs are at the core of everything we build.

Our KG training methods

Our own methods for building and training knowledge graphs on a domain.

Expert knowledge graphs

Structured, connected domain expertise that AI models and agents can reason over and query. Equity research first; legal and marketing KGs in development.

AI apps

Applications built on those graphs, from equity research to everyday knowledge tools.

Apps

What we build with knowledge graphs

Flagship

AI-powered equity research

Our main application area: we apply our expert knowledge graphs to equity research, connecting companies' businesses, financials, and competitive position into a structured, queryable picture. Interested in partnering or learning more? Get in touch.

Talk to us →

Also in development: Legal knowledge graphs Marketing knowledge graphs

KG tooling

Knowledge graph app & compiler

Upload an Obsidian vault and get an interactive force-directed graph of notes and [[wikilinks]]. Your notes never leave the browser.
Local-first compiler that turns a knowledge graph into an MCP server any AI agent (Claude Code, Cursor, etc.) can query.

Try the app →

More apps Coming soon

Docs-to-AI connector

Connect Google Drive, iCloud, or Microsoft 365 to get RAG search and an AI connector over your documents.

AI marketing studio

Writes and manages posts across Threads, Instagram, Facebook, and X.

Builder–marketer match

Connects teams building apps with AI to AI marketing tools and teams.

AI apps built on knowledge graph expertise.