Domain-trained AI for investment teams
We don't wrap LLMs.
We train agents.
Cielee builds AI agents with persistent memory and finance-domain reasoning — for analysts who need answers their IC actually trusts.
10-K → Insight
LiveSee it in action
Earnings report → structured analysis in 90 seconds.
Input
AAPL · 10-Q
32 pages · ingested 0:04
Analysis
12 changes flagged
Cross-referenced 4 prior filings
Output
Structured brief
With source citations · 0:90
Live demo available on request.
The problem
Your analysts spend hours doing what AI can do in 90 seconds.
Reading a 10-K, cross-referencing prior filings, and synthesizing earnings drift takes hours per company. Multiply that across a portfolio. The math doesn't work.
Generic LLMs can't fix this. They hallucinate on numbers. They lose context across documents. They aren't trained on the workflow.
How Cielee works
Three steps. Ninety seconds.
Ingest
10-Ks, 10-Qs, transcripts, prior filings. Cielee reads what your analysts read.
Analyze
Domain-trained reasoning compares filings, flags changes, surfaces what matters.
Deliver
A structured brief in your analyst's hands — in the format your IC expects.
Why domain-trained
Generic LLMs weren't built for capital decisions.
We built Cielee for the workflow, not the demo. Every design decision starts from one question: would an IC actually trust this?
The Cielee DNA
Built where mathematical finance meets agentic AI.
Most AI startups have one. Almost none have both.
Mathematical finance
Years of investment experience and quantitative training — the kind that knows what an IC actually asks before signing off on a position.
Agentic AI
Domain-tuned agents with persistent memory and source-cited reasoning — not LLM wrappers, not prompt chains.
Ready to give your analysts four hours back?
Book a 20-minute call. We'll run a live earnings analysis on a stock you pick.