of analyst time spent on research, not judgment.
average lag in a manual workflow.
deal velocity when intelligence is structured and always-on.
Daily intel digest, prioritised by mandate urgency.
Full profile: financials, regulatory status, signals, gaps.
Score every tracked target against your criteria.
Ranked candidates with per-entity investment thesis.
Formatted Word document, ready to share.
Status auto-checked; web, email, files always listening.
Before / after, in the rhythm of an actual workday. The platform compresses the gap between knowing and doing.
New signals, regulatory flags, open gaps.
System parses, logs, scores against active mandates.
"US OSD CMO, $50–200M EBITDA" — scored universe in 10 min, longlist in 20.
Regulatory checks run, watchlist reviewed — team reviews, doesn't assemble.
A working pharma M&A intelligence facility from day one — 3 mandates tracked, 10 entities scored, candidates ranked by fit score against criteria, and critical intel gaps surfaced before the client call. Halo Pharma at 9.2, Cytel at 9.5, VAI flag on Experic caught before it became a surprise.
Promote a candidate, build a shortlist, close a critical intel gap — the system surfaces the right action at the right moment. One conversation window, the full mandate stack in context. No dashboard to remember, no tab to switch to.