No black box. Every step of the pipeline is visible, every claim carries its source, and every projection is graded against what actually happened.
Type a ticker, a sector, or a question in plain English — "what happens to ORCL if datacenter capex slows?" Mael resolves it to the instruments involved and the horizon you care about.
The engine pulls live quotes, the last four filings, the most recent transcript, analyst revisions, options positioning, relevant macro series and weighted social sentiment. Everything is timestamped and cited.
Five model classes analyse the same evidence independently — no shared scratchpad, no single narrator. Each returns a directional view, a target range, and the factors it weighted most heavily.
Mael compares the five outputs. Agreement raises confidence; divergence lowers it and surfaces the dissenting case in full. The result is a projection with a number attached to how much to trust it.
The projection is saved with its inputs. As reality arrives, it's scored automatically — and every past projection stays visible in your history, right or wrong.
Five model classes with genuinely different failure modes. The point isn't more compute — it's disagreement you can see.
Multi-step chains over filings, guidance and unit economics. Best on "why" questions.
Careful, conservative readings of long documents. Tends to be the dissenting voice.
Wide-context summarisation across many sources at once. Good at spotting the through-line.
Real-time social and news tone, weighted by account quality rather than volume.
An independently-hosted cross-check so the council isn't all one vendor's blind spots.
Specific model versions rotate as new releases ship. The current roster is always listed inside the app.
It is not a probability that the price hits the target. It's a measure of how much the five models agreed, how much evidence they had, and how well projections with this shape have scored historically. High confidence with thin evidence gets marked down.
One model dissents on valuation. Its full case is one click away.
Most prediction products quietly forget the bad calls. Mael keeps all of them, timestamped and scored, in a history you and anyone you share a workspace with can read. If the hit rate slips, you'll see it before we tell you.
Private beta, opening in small groups. No card, no commitment — just an email when there’s room.