V1.0 / The analyst’s terminal
Mosaic Labs is an equity research workspace. AI agents pull the filings, build a driver-tree DCF, invert the price, run 10,000 Monte Carlo paths, and draft the research note — while you read, think, and argue.
Engine-driven DCF · MIFP · Monte Carlo · every number traced to source
§ 01 · The method
Built the way an analyst builds one in Excel — except the first forecast you see is the market’s, not somebody’s hunch.
§ 02 · Inside a model
Tweak an assumption and watch the implied expectations move. Every cell traces to a filing, a market-data field, or a stated judgement.
| Segment | Revenue | Mix |
|---|---|---|
| iPhone | 268.4 | 52% |
| Services | 145.1 | 28% |
| Wearables | 42.3 | 8% |
| Mac | 35.0 | 7% |
| iPad | 29.6 | 6% |
| Total revenue | 520.4 | 100% |
§ 03 · Why it exists
§ 04 · Capabilities
The deterministic engine does the math; you bring the judgement. No black boxes, no invented numbers.
Reconstruct what's priced in, then solve the growth path that makes intrinsic value equal market cap.
Decompose revenue by segment with price × volume drivers, carried from history into every forecast.
A market-implied forecast period — never an arbitrary 5 or 10 years — sanity-checked against peers.
Map the distribution around your base case: P10–P90 valuation bands and probability above price.
Chat with an AI analyst, edit an assumption, and watch the implied expectations move instantly.
Every assumption traces to a market-data field, a filing section, or a judgement you can defend.
§ 05 · Published models
A living league table of market-implied expectations, ranked by the gap between price and value. Illustrative below — sign in for live models.
§ Begin
Build your first market-implied model in minutes. Free for your first five tickers.