Verentis findsthe Head of Financial Crimeand tells you when to call.
Six agents run your target accounts end to end: they discover buying signals, identify the people who own the decision, verify each identity, track every change and engage at the right moment, learning from every reply.
A signal radar on every account you target.
Scout watches results, filings, job boards, leadership changes, agendas and technology moves, and scores each signal for how strongly it suggests your use case is becoming a priority.
- Signals tied to your use case, not generic intent data
- Every signal carries its source and date
- Trigger strength rolls up per account
- HIRINGML Fraud Engineer x3Job board
- RESULTSFraud losses cited in H1 reportHalf-year results
- LEADERSHIPNew Chief Risk Officer appointedRegistry filing
- EVENTHead of Financial Crime speakingMoney20/20 agenda
The people who own the decision, with the evidence to prove it.
Describe what you solve. Mapper builds the role hypothesis for that use case and fills it at each account: owner, budget holder, influencers and a likely champion, each with sources and confidence.
- Role hypothesis built from your use case
- Every name cited, dated and scored
- Gaps shown honestly as gaps
One person. Many sources. Proof, not guesses.
Before anyone is contacted, Verentis confirms they are who the evidence says they are, across the professional places they actually publish.
- 01
A manifest of professional sources
Each source is declared once: how to look a person up, what a real profile looks like, and how politely to ask. New sources need configuration, not code.
- 02
Parallel checks, per-source rules
Every source is checked at the same time, each with its own detection rule. Blocked or captcha'd results come back as unknown, never as a match.
- 03
Presence is not proof
A profile only counts when it links back to the person's employer, name or another verified profile. Everything else is discarded.
- 04
Re-checked on a schedule
Footprints are re-verified over time, so a new talk, a changed title or a new publication becomes a tracked signal.
- Company siteLinked
- Companies HouseLinked
- Conference agendaLinked
- GitHubNot found
- Speaker DeckLinked
- MediumRejected · no employer link
- SubstackNot found
- Press releaseLinked
Illustrative example. Fictional person and company.
Intelligent tracking that knows when timing turns.
Watcher keeps each mapped committee under watch. When a change lands (a new role, a talk, a result, a new verified profile) it is scored on strength, recency and who it involves.
- Always-on watchlists per account and person
- "Moment to reach out" alerts with evidence
- Opt-outs stop tracking immediately
A different first line for every person, timed to the trigger.
Writer drafts from the evidence and the moment, cites both, and holds every draft behind compliance checks and your approval.
Rachel, your Money20/20 talk on real-time fraud lines up with the three ML fraud roles you're hiring for. Worth comparing notes on detection latency?
- Legitimate interest recorded
- Article 14 notice included
- Opt-out link
- PECR corporate subscriber
Every reply sharpens the next move.
Analyst classifies each reply, re-scores the committee and recommends the next best action, so accounts get smarter over time instead of going cold.
"Interested. Can you share how this works for card-not-present fraud?"
- Committee re-scored
- Influencer · M. Lin 71 to 82
- Next best action
- Send the CNP fraud brief to R. Okafor, loop in M. Lin
Built to be trusted with the accounts that matter most.
Evidence store
Every fact is an observation with its source, date and confidence, so every claim is auditable.
Source manifest
Professional sources are declared, reviewed and rate-limited in one place. Adding one is configuration.
Approval and compliance gate
Pre-send checks, Article 14 notice, opt-out handling and a kill switch on every message.
Integrations
Gmail and Microsoft 365 for sending and replies, CSV and CRM or sequencer export for your stack.
Verentis is onboarding design partners. Examples on this page use fictional companies and people.
Put your agents to work on three accounts.
A 45-minute working session on your real target accounts and your real use case. You leave with the committee maps, whether or not you go further.