Diver AI

Overview

Diver AI is an intelligence layer for market research. It reads what humans can’t read at scale, and returns arguments — not predictions — for how the world might move next.

Problem

Retail traders operate with a fraction of the context institutions take for granted. Newsfeeds are noisy, filings are dense, and most tools optimize for volume, not understanding.

Solution

We are building a research assistant that reads primary sources end-to-end, cites everything, and helps traders form structured theses they can defend to themselves.

Architecture

A Rust ingestion pipeline feeds a Postgres and vector store; PyTorch models handle reasoning; a Next.js interface keeps the human in charge. Everything is source-linked.

Timeline

1. 2025
   Concept and first prototypes
2. 2025
   Ingestion pipeline online
3. 2026
   Private beta

Lessons learned

• Speed of iteration beats sophistication of model.
• Traders trust tools that show their work.
• Latency is a feature, not a performance metric.

Roadmap

• Private beta with independent traders.
• Portfolio-aware reasoning.
• Open research notes shared publicly.