Casewell researches your hardest business questions against real, cited sources and runs the evidence through the frameworks strategy teams actually trust — and hands back an answer the same day.
Why?
Decisions don't stall because teams lack opinions. They stall because the evidence that would settle the argument is buried in filings, dockets and tender records nobody had the weeks to read.
Casewell dives for it. Every study runs down through the shallows into primary, dated sources — then brings the answer back up with the receipts attached.
Press releases, top-ten search results, the same three sources everyone else already cited.
Analyst summaries and secondhand market-size numbers, repeated until they read as fact.
Filings, regulator dockets, tender records, patent and trade data — dated and primary.
Triangulated evidence: cross-checked across sources, contradictions surfaced, confidence computed.
By the time a firm is scoped, contracted and briefed, the window you were deciding in has already moved.
A confident number with no source behind it can't be defended in a board room, and shouldn't be.
Every analyst brings their own structure, so two decisions in the same company get argued on different terms.
Why not just ask an AI?
A model without retrieval doesn't look anything up. It reconstructs the most plausible-sounding version of a fact from statistical memory — the AI equivalent of a collective false memory: a figure everyone half-remembers, stated with total confidence, that was never true.
The failure mode is precisely the dangerous one. It is most fluent exactly where it should be least certain, and it never tells you which is which.
A growing share of syndicated research and firm-branded output is now drafted by the same class of model, then formatted, badged and sold at consulting prices. Same failure mode — just wrapped in a logo.
And because the working paper never leaves the firm, there is no way to audit which claim came from which source, or when that source was last true.
Casewell is built the opposite way round. Nothing is asserted from memory: every claim is retrieved from a dated primary source, tagged as fact, estimate or inference, and carries a computed confidence. Anything that fails Challenge & QC goes back to research before it ever reaches you.
What?
Markets
Most expansion bets are approved on a market size number and a gut feel about competition.
Questions you probably can't answer today
What this module does
What you get
Market entry case
Framework: Market attractiveness × right to win × entry feasibility × timing
How?
Not a prompt and a paragraph. A research pipeline with named stages, explicit artifacts, and a challenge step that tries to break its own answer before you see it.
Restate the question and define what good looks like.
Issue tree
Test hypotheses against sourced, dated evidence.
Tiered evidence base
Compare options on weighted, module-specific criteria.
Weighted scorecard
Turn evidence into findings, risks and a recommendation.
Findings & risks
Attack the answer: what would flip it, what is unsupported.
Challenge log
Hand back a board-ready asset with every claim cited.
Case pack
Filings, regulator and standards bodies, tender and procurement records, patent and trade data, and dated open-web signal.
Evidence is tiered from filings and regulators down to open-web signal, and cited inline.
Source quality, triangulation, recency and assumption sensitivity — not a vibe.
Export the case pack to Markdown, CSV or slides and drop it into your own review.
Versus?
Buying research is a project of its own. By the time the engagement starts, the market has moved and the decision window has narrowed. Casewell removes the runway.
Cost per decision
$250k–$2M
Workspace subscription
Where the evidence lives
In the firm's appendix
Cited inline, in your workspace
Asking a follow-up
A new scope of work
Another question
Who for?
Expansion bets get approved on a market-size number and a gut feel about who else is already there.
What they get asked
The path today
6–12 weeksWith Casewell
same dayCasewell frames it, researches it, challenges its own answer, and hands back an evidence-grounded recommendation you can take into the room.
Question doesn't fit a module? Tell us about it.