VeBoost Matchmaker – better matches, less manual work
Quick overview
VeBoost Matchmaker brings profiles (companies, talent, partners) and needs into one place, calculates an AI score per match and runs intros through auditable workflows. Forms, CRM and CSV data land in one space; roles/views keep governance clean, reporting adds transparency.
Highlights – feature → outcome
Profile/data consolidation
Forms, Excel/CSV, CRM – all in one data room → one shared truth instead of islands.
AI scoring & ranking
Rules + AI signals (weights/explanations) → faster shortlists, better matches.
Matching workflows
From “match proposed” to review/intro/feedback → repeatable and auditable.
Search & filters
Full-text, facets, similarity search → relevant candidates in minutes.
Roles & views
Access per team/program/region → governance without friction.
Reporting
Funnels/quotas, time to intro, match quality → decisions backed by numbers.
How teams work with it – workflow
1. Onboarding
Connect data sources (forms/CRM/CSV), define attributes/rules.
2. Search & score
Find candidates, inspect AI score/explanation, build the shortlist.
3. Review & intro
Start the workflow, assign roles, send context-rich intros/emails.
4. Feedback & learning
Collect feedback, adjust rules/weights, update reporting.
Integrations
Data/CRM
HubSpot, Pipedrive, Salesforce (API/CSV).
Communication
Email, calendar links, optional Slack/Teams notifications.
File storage
SharePoint/Drive.
SSO/IdP
Microsoft/Google/OIDC.
KPIs & impact
Time-to-match (first qualified intro)
−25–40% after 8–12 weeks.
Match quality (Top-2-Box)
≥ 80% positive feedback on suggested matches.
Data completeness
≥ 95% required fields complete after onboarding.
Project: VeBoost Matchmaker. Updated: 17 Nov 2025.