Workflow

Investor Prospecting: Research, Qualify, and Add the Right Prospects

Source investor prospects through web research, connected data, external AI, or your own lists, then review and add selected records to Finta.

By Finta TeamReviewed by Kevin SiskarPublished August 22, 2026Verified August 21, 2026Last reviewed September 5, 2026

Multiple prospect sources pass through evidence review and deduplication before selected investors enter a CRM action queue.
Audience
Founders raising capital, Emerging fund managers, Investor relations teams
Products
Aurora, CRM, Networks
Integrations
Gmail, Outlook, LinkedIn
Prerequisites
A defined raise or mandate, Target criteria, Reviewed CRM data, An accountable owner
Expected outcome
A reviewed weekly shortlist with target, fit evidence, relationship path, current status, owner, and next action.
Approval boundary
Finta can research, organize, rank, and prepare next actions. A human approves the shortlist, relationship path, contact creation, introduction request, and every outbound message.

Outcome: a reviewed, deduplicated prospect list with evidence, relationship context, ownership, and a next action.

How investor sourcing works in Finta

  1. Aurora web research: find plausible prospects from current public sources and keep evidence available for review.
  2. Licensed market data: connect a compatible database through a supported API or MCP when your organization has access.
  3. External AI plus Finta MCP: research in Codex, ChatGPT, Claude, or another compatible client, then search, deduplicate, and add selected records to Finta CRM.
  4. Your own lists: import or create records from spreadsheets and trusted referrals.

Finta does not maintain a proprietary, marketwide investor database like PitchBook or Crunchbase. Networks checks relationship evidence and possible warm paths after a prospect is identified. A connection is not permission or a guaranteed introduction.

From prospect to next action

Review mandate, stage, geography, source date, duplicates, and exclusions before adding a prospect. Then assign an owner, record relationship context, prepare outreach or an introduction request, and keep the next action visible in Finta CRM.

Human-review boundaries

  • Verify public research and licensed data before relying on it.
  • Do not treat a relationship path as consent.
  • A person approves outreach and consequential CRM changes.
  • Provider access, coverage, and permissions vary.

Run the workflow

  1. Define stage, geography, sector, check, exclusions, and why the investor could fit.
  2. Choose one or more sourcing routes: Aurora web research, a compatible licensed database, external AI using Finta MCP, or a user-owned list.
  3. Review official sources and record uncertainty instead of filling gaps.
  4. Search Finta for duplicates before adding selected contacts and companies.
  5. Inspect Networks for relevant relationship paths without assuming permission.
  6. Assign an owner and next action, then review any outreach before sending.

What good looks like

Every prospect has a fit rationale, source, verification date, owner, and next step. Rejected candidates remain out of the active pipeline.