Flagship Project

Saros

Offline Quant Workstation

Private market analysis with local AI and a desktop-first workflow.

A local-first quant environment focused on speed, privacy, and disciplined research tooling.

Saros is positioned as a serious research workstation: high-signal interface design, responsive desktop ergonomics, and privacy-conscious AI workflows that stay close to the machine.

Local inference Tauri desktop ergonomics High-signal analytics UI
Stack

Core build story

The product is framed like a luxury operator console: decisive typography, deep contrast, and a quiet confidence that makes complex analysis feel composed instead of frantic.

Rust, Tauri, local inference, analytics UI
  • Local model summaries for notes and filings
  • Fast desktop shell for serious research flow
  • Private watchlists and prompt memory stored close to the device
Edge AI

Creative local approach

Edge AI is used as a private market-side copilot: local models summarize filings, cluster ticker narratives, draft research prompts, and keep idea generation on-device so sensitive watchlists and notes never need to leave the workstation.

  • Sharper research loops
  • Stronger privacy story
  • Faster idea-to-analysis movement
Why it matters

Portfolio signal

It proves you can combine heavy data work, fast desktop interaction, and privacy-first AI assistance without turning the tool into novelty theater.