Stop emailing investors who will never invest in your deal.
97% of cold fundraising emails fail because they target the wrong investors. GIGABOOST.AI analyzes our investor research database across 25+ fit dimensions to find the ones who actually invest in companies like yours — in minutes, not months.
Recommended by founders, fund managers & syndicators raising $1M–$200M
The Problem
Why 97% of fundraising outreach fails before it starts
The fundraising industry has a targeting problem. Founders spray emails to hundreds of investors, hoping someone bites. But investors have very specific mandates — stage, sector, geography, check size, thesis — and when you don't match, your email is deleted in seconds.
Targeting investors who will never invest in your deal
Most founders waste months emailing VCs who don't invest in their stage, sector, or geography. Only 2-3% of cold emails ever get a response because the targeting is random.
How GIGABOOST.AI solves this
GIGABOOST.AI scores every investor across 25+ fit dimensions — stage, sector, check size, geography, portfolio overlap, thesis alignment, recent activity, and more — so every email goes to someone who actually invests in deals like yours.
Researching investors manually takes weeks
Founders spend 40+ hours building target lists from Crunchbase, LinkedIn, and AngelList. The data is often stale, incomplete, or wrong. By the time you finish, your runway has burned another month.
How GIGABOOST.AI solves this
Access our investor research database with real-time data enrichment. AI builds your qualified investor list in minutes, not weeks. Every profile includes investment history, thesis, portfolio companies, and contact information.
You don't know which investors are actively deploying
Sending to investors who just closed their fund or are fully deployed is a total waste. But there's no easy way to know who's actively writing checks right now.
How GIGABOOST.AI solves this
AI-powered activity signals detect which investors are currently deploying capital based on recent investments, fund announcements, social activity, and portfolio movements. You only target active investors.
Generic investor databases give you quantity, not quality
PitchBook costs $24K/year. Crunchbase gives you names but not insights. Neither tells you WHO will actually invest in YOUR specific deal.
How GIGABOOST.AI solves this
GIGABOOST.AI doesn't just give you a database — it gives you a ranked, scored, personalized match list with conviction scores, thesis alignment analysis, and portfolio fit metrics specific to your company.
The Solution
AI-powered investor targeting that actually works
Every capability is purpose-built to solve the targeting problem that kills most fundraises before they start.
our full database+ Verified Investors
VCs, angels, family offices, CVCs, and institutional LPs — all verified with current contact data and investment history.
25+ Fit Dimensions
Stage preference, sector focus, check size range, geography, thesis alignment, portfolio overlap, co-investment patterns, and fund cycle timing.
AI-Powered Discovery
Web-augmented search finds investors your competitors haven't found. AI scans news, announcements, and social signals to surface hidden opportunities.
Conviction Scoring
Every match gets a quantified fit score so you know exactly which investors to prioritize. Stop guessing, start targeting.
Also includes
The Difference
Manual targeting vs. GIGABOOST.AI
FAQ
Investor targeting — questions answered
What is AI investor targeting software?
AI investor targeting software uses machine learning to analyze thousands of investor profiles and score them against your specific deal. Instead of manually searching databases, the AI evaluates thesis alignment, investment stage, check size, geography, sector focus, and portfolio activity to surface only the investors most likely to fund your company.
How does GIGABOOST.AI find investors for my specific deal?
When you set up your raise profile — including stage, sector, raise amount, regulation type, and geography — GIGABOOST.AI's AI runs your parameters against 340,412+ investor profiles across 25+ fit dimensions. It returns a ranked list with conviction scores, so you know exactly who to prioritize and why each investor is a match.
How many investors are in the GIGABOOST.AI database?
GIGABOOST.AI's investor research database contains 340,412+ verified profiles including venture capital firms, angel investors, family offices, corporate venture arms, and institutional LPs. Profiles are continuously enriched with real-time investment activity, fund announcements, and portfolio updates.
What fit dimensions does GIGABOOST.AI use to match investors?
GIGABOOST.AI evaluates 25+ fit dimensions including: investment stage (pre-seed through growth), sector focus, check size range, geography, regulation type (Reg-D, Reg-CF, Reg-A+), thesis alignment, recent portfolio activity, fund cycle status, co-investment patterns, portfolio overlap with comparable companies, and more.
How is GIGABOOST.AI different from PitchBook or Crunchbase?
PitchBook and Crunchbase are static databases — they give you lists of investors but no intelligence about fit. GIGABOOST.AI doesn't just show you investors; it scores, ranks, and personalizes them to your specific deal. You get a conviction-ranked match list rather than raw search results, and every match comes with outreach copy already written.
Stop wasting time on investors who will never say yes.
No setup fees. See targeted investors in under 10 minutes.