Mael runs every question through a council of frontier AI models on top of live market, news and filings data — then shows you the projection, the confidence, and the disagreement.
Illustrative sample data. Not financial advice.
Council confidence 71% · 4 of 5 models constructive · simulated figures for demonstration only.
Built on the same class of tooling used by
Pick the models. Pick the data. Pick the layout. Mael assembles them into one workspace that answers the same question every morning without you asking.
4 of 5 models lean constructive over the next quarter. Datacenter revenue and supply commentary dominate the case; the dissent flags valuation and customer concentration.
A traditional chart tells you where an asset has been. Mael extends the line — a modelled path with an explicit confidence band, built from thousands of live inputs rather than a moving average.
Single-model output sounds authoritative and hides its blind spots. Mael runs the question through reasoning, sentiment, synthesis and open-weight models in parallel, then reports the spread — including the model that disagreed and why.
Quotes, filings, earnings transcripts, analyst revisions, options positioning, macro releases and social sentiment feed the models continuously. A projection made this morning knows what happened this morning.
One workspace, six jobs it takes off your desk.
Every chart on Mael keeps going past today. See a modelled path, a confidence band, and the assumptions behind both.
Reasoning, sentiment, synthesis and open-weight models each run the question independently. You see where they agree — and where they don't.
Prices, filings, transcripts, options flow, macro prints and social sentiment stream into every projection as they land.
Drag panels into the layout that matches how you think. Save it per asset, per strategy, per screen.
Schedule a re-run, set a threshold, get the delta. Stop refreshing tabs at 6am.
Each projection ships with its sources, its confidence, and the record of how the last one turned out.
Predictive analytics of this depth used to sit behind a five-figure seat licence and a sales call. Mael puts it in a browser tab.
Sample platform figures shown for illustration.
"I stopped reading twelve newsletters. One workspace, re-run every morning, tells me what changed and what the models now disagree about."
"The dissent panel is the part I actually use. Knowing which model hated the trade — and its reason — has kept me out of two bad weeks."
"Scored history is what sold me. Every past projection is still sitting there, graded. That's rarer than it should be."
Composite examples for illustration.
No. Mael is a research tool. It produces model-generated projections and the reasoning behind them. It does not know your circumstances, does not make recommendations, and is not a substitute for a licensed advisor.
Sometimes right, often wrong, always probabilistic. That's why every projection carries a confidence score, why dissent is shown rather than smoothed away, and why we keep the full scored history of past projections visible instead of quietly deleting the bad ones.
A council of five model classes — frontier reasoning, analysis, synthesis and sentiment models plus an open-weight model for cross-checking. The specific versions rotate as new releases land; the current roster is always listed inside the app.
No. Mael is read-only by design. It never touches your account, never places an order, and never holds custody of anything.
US and major international equities, ETFs, index products, large-cap crypto, FX majors and listed options chains. Coverage and depth vary by plan.
Any time, from your account settings, effective at the end of the current period. No call, no retention script.
Mael is in private beta. Join the waitlist and we’ll email you the moment a seat opens.
Research tool. Not investment advice.