Valuation intelligence
#1 Valuation ModelTerminal
A new baseline for equity researchers to build, explain, and change financial models, with clarity fit for institutional workflows.
LiveAnnouncementV1 is now live, welcome to the valuation terminal.
Q&Q AIMarkets move. Your models live.
What you may find interesting
Trackability
Every number is indexed to its source: transparent lineage with UI that makes it easy to follow from a figure back to where it came from.
More detailsAuditability
Validate that business logic is feasible and sound, with clarity at the asset level, not only at the headline number.
More detailsAdaptability
The system learns how human investors work, including your process and your choices, and adapts to fit that workflow instead of a single rigid template.
More detailsDeeper look
Trackability
Trackability means each numerical value sits in a transparent index: you can see which source or line it ties to, not just the cell in isolation. The interface is built to visualize that path so you can trace backward without digging through tabs and files by hand.
Strong visualization turns lineage from a spreadsheet chore into something you can scan, share, and defend. Reviewers and teammates see the same chain from output to input, so questions about a line item resolve against the model, not memory.
Deeper look
Auditability
Auditability is about whether the story in the model holds up: assumptions, intermediate steps, and outputs should reflect defensible, feasible business logic you can inspect step by step. That includes understanding positions at asset level, including how each piece of the business rolls up, so the valuation is not a black box at the detail that matters.
When oversight or your own team asks why a conclusion changed, the answer lives in the structure: explicit links between steps, comparable across versions, so review and approval stay tied to validated logic rather than narrative after the fact.
Deeper look
Adaptability
Adaptability here means learning the way real investors build and revise models: priorities, sequencing, and how you like to intervene. The product is meant to align with that process over time, not force everyone into the same rigid playbook.
As markets, filings, and issuer context shift, you still decide what to adopt and when; the difference is that adaptation reflects how your team actually works, so updates feel like an extension of your practice rather than a reset every time conditions change.