LARGEVCMODELNetwork Intelligence

Network intelligence for high-conviction relationships

Find the people who can move your company forward.

Turn your startup profile, pitch deck, external public intelligence, and private relationship context into ranked people discovery.

External discovery first / Gmail and Contacts enrich relationships only

STARTUP PROFILE

Product, market, stage, traction

EXTERNAL DISCOVERY

People not already in your inbox

FIT RANKING

Evidence, confidence, missing criteria

RELATIONSHIP ENRICHMENT

Gmail and Contacts as private context

SAVED PEOPLE

Lists, notes, status, activation

Product preview

A startup profile becomes a search instrument.

LargeVCModel starts with structured company context: product, market, fundraising stage, traction, team, and excluded investors. A pitch deck can populate fields, but the founder approves extracted values before they drive search.

+Startup profile
+Pitch deck extraction
+External people discovery
+Fit scoring
+Relationship enrichment
+Saved people lists

Core workflow

From company context to ranked relationships.

01

Upload or write the startup profile.

Define what the company is building, selling, raising, and excluding.

02

Discover externally.

Search configured public people and investor sources for new candidates.

03

Rank by fit.

Score people against the startup with visible components and missing criteria.

04

Enrich privately.

Use Gmail and Google Contacts only to answer relationship questions.

Discovery boundary

External discovery is not your inbox.

External people discovery

Find investors, founders, operators, advisors, scouts, accelerators, researchers, customers, and strategic partners who may not exist in your contacts.

Relationship intelligence

After candidates are found, Gmail and Google Contacts can show whether you have communicated, saved the person, or have a possible warm path.

Pitch-deck intelligence

Extract, review, then approve.

PDF pitch decks are stored as user-scoped files. Extracted fields remain uncertain until the owner reviews and accepts them. Manually edited data is not silently overwritten.

Explainable matching

Scores show their work.

Every result includes matched criteria, missing criteria, uncertain criteria, source links, confidence, and a relationship contribution. The score is a prioritization heuristic, not a hidden verdict.

Thesis fitvisible
Stage fitvisible
Product and technologyvisible
Check sizevisible
Geographyvisible
Portfolio relevancevisible
Relationship evidencevisible

People categories

Search beyond investors.

InvestorsFoundersOperatorsAdvisorsScoutsAcceleratorsResearchersPotential customersStrategic partners

Security and data boundaries

Private data stays in its lane.

No fabricated people

Provider failure returns an unavailable or error state, never fake candidates.

Private relationship layer

Gmail and Contacts summarize relationship evidence without becoming public profile facts.

Human activation

Outreach is drafted only after a person is explicitly selected and external sends still require approval.

Start

Build with the relationships you need, not just the contacts you already have.

LARGEVCMODELStartup intelligence / external people discovery