Will this actually help me raise capital, or just generate leads?

GIGABOOST.AI is built to move investors from first contact to a conversation, not just to generate activity. The AI agent combines investor targeting across 125,000+ investor profiles, personalized LinkedIn and email outreach, engagement tracking, and pipeline management. Results depend on your deal, stage, and materials; the agent does the finding, writing, and follow-up so you can focus on the conversations.

How is this different from hiring an IR firm or placement agent?

Placement agents charge 2–5% of your raise plus retainers ($75K–$150K+), take 6–18 months, and have limited networks. GIGABOOST.AI is Growth at $499/month ($4,990/year billed annually) or Scale at $999/month ($9,990/year), with the full founder toolkit included. It matches you with thousands of investors instantly, automates personalized outreach, and gives you full control of your pipeline. You keep 100% of your raise and move at your own pace — without giving up equity or paying success fees.

Is this compliant for Reg D, Reg CF, and private raises?

GIGABOOST is software, not a broker-dealer. You stay responsible for your offering's compliance; check with your securities counsel. Outreach goes out from your own LinkedIn and email, on your own behalf, and GIGABOOST receives no transaction-based compensation.

Will investors actually respond to AI-generated outreach?

Yes — because the outreach is not generic. GIGABOOST.AI generates a unique message for each investor that references their actual portfolio, fund thesis, and recent activity. The result is a pitch that reads as researched and relevant, not templated. Results vary based on deal quality, stage, and sector.

How quickly will I start seeing investor conversations?

Most users launch their first outreach campaign within 48 hours of signing up. The guided setup wizard walks you through deck upload, investor matching, and campaign launch step by step.

Do I need a large network or existing investor list?

Not at all. GIGABOOST.AI gives you access to 125,000+ investor profiles — VCs, angels, family offices, and institutional LPs. The AI matches you based on thesis fit, stage, check size, industry, and geography. You can also import your LinkedIn connections to surface warm introduction paths through mutual contacts.

Is my data and investor information secure?

Absolutely. All data is encrypted, stored on enterprise-grade infrastructure, and fully isolated per user. We never share your pitch deck, financials, or investor communications with anyone. Security includes encrypted connections, rate limiting, input validation, and strict access controls.

How much time does this take to set up and run?

Initial setup takes less than 10 minutes. Upload your deck, let the AI analyze it and match investors, then launch your first outreach campaign. After that, the system handles follow-ups automatically. Most founders spend 15–30 minutes per day reviewing responses and managing their pipeline.

What do I actually get for free, and what costs money?

Free with no signup: the valuation range, runway model, dilution calculator and term sheet analyzer. Paid plans add the founder toolkit: AI company valuation, AI pitch deck analysis, AI financial model, fundraising CRM, investor data room, term sheet analyzer and dilution calculator. What you pay for is scale — Growth at $499/month ($4,990/year billed annually) unlocks full AI investor matching and the automated outreach engine, and Scale at $999/month ($9,990/year) adds accredited, HNW & Reg-D 506(c) investor targeting, fund, family-office & private-equity outreach workflows, and Series B/C+ and institutional raise support. Monthly billing, cancel anytime, and we never take a percentage of your raise or charge success fees.

Is this better suited for startups or funds?

Both. GIGABOOST.AI is used by seed-stage founders, growth-stage companies, fund managers, RIAs, and capital-raising teams. The AI adapts its investor matching, outreach messaging, and financial modeling to your specific context — whether you're raising a $2M seed round or a $200M fund.

GIGABOOST.AI — Your AI Agent for Investor Outreach

An AI agent that finds your best-fit investors and runs the outreach, from 125,000+ investor profiles. GIGABOOST.AI reads your investment materials, scores investors on 15 dimensions of fit, works out how to approach each one, and runs the multi-touch outreach from your own LinkedIn and inbox.

No spreadsheets. No guesswork. No generic outreach.

GIGABOOST.AI is an AI agent for founders raising capital. It matches you with investors, writes personalized LinkedIn and email outreach, and sends it on schedule within daily limits that keep activity human-paced.

GIGABOOST.AI matches from 125,000+ investor profiles: VCs, angels, family offices, and institutional LPs, each profile enriched with thesis, check size, portfolio, and recent activity data.

Every investor is scored on 15 dimensions of fit, including industry, stage, check size, thesis, portfolio adjacency, geography, and deployment activity. The agent scores up to 1,500 candidates and keeps your best 500.

GIGABOOST.AI takes 0% of your raise. Placement agents often charge 2-5% of the raise plus a retainer. GIGABOOST.AI is Growth at $499/month ($4,990/year billed annually), with no success fees and no long-term contract.

GIGABOOST.AI is built for investor relationships, not sales prospecting. It includes AI deck analysis, investor matching, personalized outreach, financial projections, company valuation, pipeline CRM, and data room in one place.

Key Facts

125,000+ investor profiles to match from
15 dimensions of fit scored for every investor
Up to 500 matches a month on Growth
$540M+ in capital raises supported by the team behind GIGABOOST.AI, across 230+ raises
0% success fee: a flat monthly price

Book a Call to see the agent in action, or get started with Growth at $499/month, which includes the full founder toolkit.

What the Agent Does

AI Deck Intelligence — A VC-style review of your deck with objections to fix before you send it
AI Investor Matching — Find your best-fit investors from 125,000+ investor profiles in minutes
Per-Investor Outreach AI — A separate strategy and message for each investor
LinkedIn Engagement AI — Comments, connection requests, and messages from your own LinkedIn account
Intelligent Pipeline CRM — Every investor conversation tracked in one pipeline
AI Financial Projections — Institutional-style 5-year projections without a consultant
AI Company Valuation — A valuation built on four methodologies to support your terms
Secure Data Room — Track every view and download
Engagement Intelligence — See when investors open, view, and reply
Calendar Integration — Turn interest into booked calls with one click
Warm Intro AI Mapping — Find connection paths to investors you want to reach
AI Follow-up Automation — Follow-ups on schedule; a reply stops that investor's sequence
Investor Database — 125,000+ investor profiles
Burn Rate Calculator — Know how fast you are spending before investors ask
Runway Calculator — Plan your raise timeline
ROI Calculator — Model investor returns across bull, base, and bear cases (hypothetical)
Pre-Money and Post-Money Valuation Calculators — Numbers in one click
Fundraising Command Center — Your raise in one view
Real-Time Signal Detection — See when investor activity changes
Full Audit Trail — See every action the agent took
Team War Room — Shared pipeline and outreach for your team

How It Works

Fix Your Deck — Upload your pitch deck for an AI-powered 8-section VC-style teardown
Find Better-Fit Investors — AI scores investors from 125,000+ investor profiles on 15 dimensions of fit
Walk In With Numbers — AI generates 5-year projections and valuations in about 20 minutes
Approve Once — You approve each investor's first message once; the agent then sends on schedule within daily limits that keep activity human-paced
Reach Investors Where They Are — Coordinated email and LinkedIn outreach, written per investor
Track Your Round — A 9-stage pipeline with engagement signals and follow-ups

GIGABOOST.AI vs Traditional Methods

Feature	Traditional	GIGABOOST.AI
Investor discovery	Weeks of Googling, outdated lists	AI scores 125,000+ investor profiles on 15 dimensions of fit in minutes
Deck feedback	Pay $5K-$10K for a consultant, 2 weeks	AI analysis with objection handling and suggested rewrites
Outreach strategy	Generic mail merge	A separate AI strategy and message per investor
Financial model	Weeks plus a consultant's fee	AI generates a model in about 20 minutes
Company valuation	$10K-$25K valuation firm, weeks of work	AI produces a 4-methodology valuation
Pipeline management	Spreadsheets, lost emails	9-stage pipeline with follow-ups

What It Costs

Placement agent: often 2-5% of the raise plus a retainer — GIGABOOST.AI takes 0% of your raise
IR consultant: often $15,000-$25,000/month — GIGABOOST.AI is $499/month on Growth
Investor databases: thousands a year and they never send a message — GIGABOOST.AI matches and runs the outreach

Pricing

Growth (Most Popular) — $499/month, or $4,990/year billed annually (2 months free). The full fundraising toolkit: AI deck analysis, company valuation, financial model, secure data room, fundraising CRM, dilution calculator, and term sheet analyzer. Adds AI investor matching against the GIGABOOST investor database and an AI Agent that runs personalized email and LinkedIn sequences. You approve each investor's first message once; the agent then sends on schedule within daily limits that keep activity human-paced. Includes the free tools.
Scale — $999/month, or $9,990/year billed annually (2 months free). For Series B/C+ raises and institutional capital. Accredited, HNW and Reg-D 506(c) investor targeting, fund, family-office and private-equity outreach workflows, dedicated LP, syndication and tokenized-asset segments, and priority support for capital-raising teams.
Concierge — Let's talk. White-label and enterprise deployments, working alongside you on targeting, materials, and outreach. Scoped and priced on a call.

Pricing: Growth at $499/month (or $4,990/year billed annually) and Scale at $999/month ($9,990/year billed annually). Month to month, cancel anytime. Concierge is scoped and priced on a call. No setup fees, no success fees, no percentage of your raise.

Frequently Asked Questions

Will this actually help me raise capital, or just generate leads?: GIGABOOST.AI is built to move investors from first contact to a conversation, not just to generate activity. The AI agent combines investor targeting across 125,000+ investor profiles, personalized LinkedIn and email outreach, engagement tracking, and pipeline management. Results depend on your deal, stage, and materials; the agent does the finding, writing, and follow-up so you can focus on the conversations.
How is this different from hiring an IR firm or placement agent?: Placement agents charge 2–5% of your raise plus retainers ($75K–$150K+), take 6–18 months, and have limited networks. GIGABOOST.AI is Growth at $499/month ($4,990/year billed annually) or Scale at $999/month ($9,990/year), with the full founder toolkit included. It matches you with thousands of investors instantly, automates personalized outreach, and gives you full control of your pipeline. You keep 100% of your raise and move at your own pace — without giving up equity or paying success fees.
Is this compliant for Reg D, Reg CF, and private raises?: GIGABOOST is software, not a broker-dealer. You stay responsible for your offering's compliance; check with your securities counsel. Outreach goes out from your own LinkedIn and email, on your own behalf, and GIGABOOST receives no transaction-based compensation.
Will investors actually respond to AI-generated outreach?: Yes — because the outreach is not generic. GIGABOOST.AI generates a unique message for each investor that references their actual portfolio, fund thesis, and recent activity. The result is a pitch that reads as researched and relevant, not templated. Results vary based on deal quality, stage, and sector.
How quickly will I start seeing investor conversations?: Most users launch their first outreach campaign within 48 hours of signing up. The guided setup wizard walks you through deck upload, investor matching, and campaign launch step by step.
Do I need a large network or existing investor list?: Not at all. GIGABOOST.AI gives you access to 125,000+ investor profiles — VCs, angels, family offices, and institutional LPs. The AI matches you based on thesis fit, stage, check size, industry, and geography. You can also import your LinkedIn connections to surface warm introduction paths through mutual contacts.
Is my data and investor information secure?: Absolutely. All data is encrypted, stored on enterprise-grade infrastructure, and fully isolated per user. We never share your pitch deck, financials, or investor communications with anyone. Security includes encrypted connections, rate limiting, input validation, and strict access controls.
How much time does this take to set up and run?: Initial setup takes less than 10 minutes. Upload your deck, let the AI analyze it and match investors, then launch your first outreach campaign. After that, the system handles follow-ups automatically. Most founders spend 15–30 minutes per day reviewing responses and managing their pipeline.
What do I actually get for free, and what costs money?: Free with no signup: the valuation range, runway model, dilution calculator and term sheet analyzer. Paid plans add the founder toolkit: AI company valuation, AI pitch deck analysis, AI financial model, fundraising CRM, investor data room, term sheet analyzer and dilution calculator. What you pay for is scale — Growth at $499/month ($4,990/year billed annually) unlocks full AI investor matching and the automated outreach engine, and Scale at $999/month ($9,990/year) adds accredited, HNW & Reg-D 506(c) investor targeting, fund, family-office & private-equity outreach workflows, and Series B/C+ and institutional raise support. Monthly billing, cancel anytime, and we never take a percentage of your raise or charge success fees.
Is this better suited for startups or funds?: Both. GIGABOOST.AI is used by seed-stage founders, growth-stage companies, fund managers, RIAs, and capital-raising teams. The AI adapts its investor matching, outreach messaging, and financial modeling to your specific context — whether you're raising a $2M seed round or a $200M fund.

Resources

How to Find Investors for Your Startup in 2026: 8 Proven Methods — The complete guide to finding, qualifying, and reaching the right VCs and angels for your startup using data-driven methods and AI-powered investor discovery.
How to Write a Pitch Deck That Gets Funded in 2026 — The 7 elements VCs look for in every pitch deck. Learn how to structure your deck, what data to include, and the common mistakes that get founders rejected.
5 Investor Outreach Strategies That Work in 2026 — Modern approaches to investor outreach that generate meetings with top-tier investors. From AI-powered personalization to multi-channel engagement.
Financial Projections That VCs Take Seriously: A Founder's Guide — How to build 5-year financial models that demonstrate business acumen and satisfy institutional investors. P&L, cash flow, balance sheet, and growth scenarios.
Pre-Money Valuation Explained: How VCs Calculate What Your Startup Is Worth — Understand how VCs actually determine your startup's pre-money valuation. DCF, comparables, VC method, and negotiation strategies for founders.
Fundraising Pipeline Management: How to Manage Your Raise Like a Sales Pro — Apply sales pipeline methodology to fundraising. 9-stage tracking, engagement signals, follow-up automation, and closing strategies for founders.
Burn Rate and Runway Guide: The Two Numbers Every Founder Needs to Know — Calculate your burn rate and runway accurately. When to raise, how much to raise, and how to extend runway while growing.
The Founder's 2026 Guide to AI Investor Matching: How to Reach the Right Investors Faster — AI investor matching is replacing manual research. This guide covers how modern matching engines work, what data they use, and how founders are cutting months off their fundraise by targeting investors with precision.
Why Most Founders Waste Months Chasing the Wrong Investors — And How AI Fixes It — 90% of startups that fail to raise do so because of poor investor targeting, not bad ideas. Learn the psychology behind bad targeting and how AI-driven tools are helping founders avoid the most common fundraising trap.
How to Build a High-Converting Investor List in 2026 Using AI, Data, and Intent Signals — A great investor list is not about quantity. It is about precision. Learn how to combine AI matching, investor data, portfolio analysis, and intent signals to build investor lists that convert well above the standard 1 to 5%.
The 2026 Investor Outreach Playbook: How to Write Emails and LinkedIn Messages That Actually Get Replies — Most founders get ignored because their outreach is generic, too long, or mistimed. This playbook covers the exact frameworks, templates, and timing strategies that generate 15 to higher response rates from investors.
Crunchbase Is Not Enough: What Founders Need in 2026 to Actually Find Investors — Crunchbase is a good starting point but a terrible finishing point for investor discovery. Here is what is missing and what to use alongside it to build a real investor pipeline.
How to Find Accredited Investors in 2026 for Startups, Funds, and Private Offerings — There are 33.6 million accredited investors in the United States controlling $109.5 trillion in wealth. Here is how to find them, verify their status, and approach them for your raise.
Why Generic Sales Databases Fail for Fundraising — And What to Use Instead — HubSpot, Salesforce, and Apollo were built for selling products. Fundraising requires entirely different data. Here is why generic sales tools waste your time and what actually works.
How AI Can Analyze Your Pitch Deck Before Investors Tear It Apart — VCs spend 2 minutes and 24 seconds on the average pitch deck. AI deck review tools catch the problems that get you rejected before you ever send your deck out.
The New Fundraising Stack for 2026: AI Investor Discovery, Outreach, Follow-Up, and Deal Flow Management — The old fundraising toolkit of spreadsheets, Gmail, and Crunchbase is dead. Here is the complete 2026 fundraising stack that modern founders use to raise capital faster.
Top 50 MENA Investors for Seed Stage Startups in 2026 — The definitive guide to seed-stage investors active across the UAE, Saudi Arabia, Egypt, and the broader MENA region. Includes fund mandates, check sizes, sector focus, and how to approach each investor.
How to Raise Venture Capital in Dubai: The Founder's Playbook — A practical, step-by-step guide to raising venture capital in Dubai and the UAE — from entity structure and regulatory setup to investor targeting, pitch preparation, and closing a term sheet in the Gulf.
Hub71 vs DIFC Accelerators: Which Should You Apply For? — A detailed comparison of the UAE's two leading accelerator ecosystems — Hub71 in Abu Dhabi and DIFC's Fintech Hive in Dubai — covering funding, eligibility, benefits, investor access, and which program fits which type of company.
How to Find Investors for Your STO Offering in 2026 — Security Token Offerings require a fundamentally different investor targeting strategy than traditional equity raises. This guide covers the STO investor landscape, the regulatory frameworks that shape it, and the exact investor types actively writing checks into compliant digital securities in 2026.
How to Find Investors for Pharma and Biotech Startups in 2026 — Pharma and biotech fundraising operates on a fundamentally different timeline, risk profile, and investor network than traditional tech startups. This guide covers every investor type active in life sciences in 2026 — from NIH grants to crossover funds — and how to approach them effectively.
How to Find Investors for Your E-Commerce Startup in 2026 — E-commerce investors fund contribution margin and repeat, not GMV. This guide maps the e-commerce and DTC investor landscape and how to target it by model and channel in 2026.
How to Find Investors for Your Gaming Startup in 2026 — Gaming investors fund engagement, retention, and team pedigree — not just a great idea. This guide maps the gaming investor landscape and how to target it by model in 2026.
How to Find Investors for Your AgTech Startup in 2026 — AgTech investors underwrite slow farmer adoption, agronomic validation, and capital intensity. This guide maps the agtech investor landscape and how to target it by model in 2026.
How to Find Investors for Your Robotics Startup in 2026 — Robotics investors underwrite real-world reliability, deployment, and capital intensity — not lab demos. This guide maps the robotics investor landscape and how to target it in 2026.
How to Find Investors for Your Space Startup in 2026 — Space investors underwrite technical milestones, capital intensity, and contracts — not vision alone. This guide maps the space investor landscape and how to target it by segment in 2026.
How to Find Investors for Your Defense & Dual-Use Startup in 2026 — Defense investors underwrite procurement paths, contracts, and a dual-use commercial story. This guide maps the defense-tech investor landscape and how to target it in 2026.
How to Find Investors for Your Hardware Startup in 2026 — Hardware investors underwrite margins, manufacturing, and capital intensity — not just a great product. This guide maps the hardware investor landscape and how to target it in 2026.
How to Find Angel Investors in 2026 — Angel investors fund people and conviction, not committees. This guide maps where angels actually are — groups, syndicates, platforms, and operator networks — and how to reach the right accredited angels in 2026.
How to Find Family Offices for Startup Fundraising in 2026 — Family offices invest patient, discreet, relationship-driven capital. This guide maps how they actually work, where to find them, and how to approach them for a raise in 2026.
How to Find Investors for Your Marketplace Startup in 2026 — Marketplace investors fund liquidity and network effects, not GMV vanity. This guide maps the marketplace investor landscape — network-effects specialists to vertical funds — and how to target the right ones in 2026.
How to Find Investors for Your EdTech Startup in 2026 — EdTech investors underwrite engagement, outcomes, and a realistic buyer — consumer, school, or enterprise. This guide maps the edtech investor landscape and how to target it by buyer in 2026.
How to Find Investors for Your PropTech Startup in 2026 — PropTech investors underwrite real-estate adoption cycles and strategic distribution — not just software. This guide maps the proptech investor landscape and how to target the funds whose networks become customers in 2026.
How to Find Investors for Your Cybersecurity Startup in 2026 — Cybersecurity investors underwrite CISO validation, a defensible wedge, and enterprise go-to-market. This guide maps the cyber investor landscape and how to target the specialist funds with security-buyer networks in 2026.
How to Find Investors for Your AI Startup in 2026 — AI investors fund defensibility and margins, not demos. This guide maps the AI investor landscape — application-layer specialists to deep-infra funds — the moats they underwrite, and how to target the right ones for your layer of the stack in 2026.
How to Find Investors for Your HealthTech Startup in 2026 — HealthTech investors underwrite reimbursement, regulation, and clinical evidence — not just product. This guide maps the digital health investor landscape and how to target it by your buyer in 2026.
How to Find Investors for Your Consumer & CPG Startup in 2026 — Consumer and CPG investors fund repeat purchase and unit economics, not launch buzz. This guide maps the consumer and CPG investor landscape and how to target it by category and channel in 2026.
How to Find Investors for Your Web3 & Crypto Startup in 2026 — Crypto investors underwrite token design, on-chain traction, and regulatory posture — not whitepapers. This guide maps the web3 investor landscape and how to target it by structure and category in 2026.
How to Find Investors for Your SaaS Startup in 2026 — SaaS investors fund metrics, not vision. This guide maps every SaaS investor archetype — from seed angels to growth funds — the exact numbers they underwrite (NRR, Rule of 40, CAC payback), and how to target the right ones for your ARR in 2026.
How to Find Investors for Your Fintech Startup in 2026 — Fintech investing hit $51 billion globally in 2025 — but the capital is concentrated in specific sub-sectors, geographies, and investor archetypes. This complete guide maps every tier of the fintech investor landscape and gives you a systematic framework for finding and closing the right investors for your stage.
How to Find Investors for CleanTech and Climate Startups in 2026 — The climate tech investment market reached $89 billion globally in 2025 — but it is not all solar and wind. A new generation of climate investors are backing carbon removal, green hydrogen, sustainable agriculture, climate data, and industrial decarbonization. Here is where to find them.
How to Find Investors for AI and Deep Tech Startups in 2026 — AI investment reached $97 billion globally in 2025, but the capital is concentrated in specific investor archetypes. This complete guide covers every tier of the AI and deep tech investor landscape — from ARPA-H to sovereign funds — and gives you a precision targeting framework for your raise.
How an Austin PropTech Fund Can Target and Secure $14,850,000 from 42 Accredited Investors in 58 Days — A case model showing how a PropTech fund in Austin can systematically identify, reach, and close 42 accredited investors for a $14.85M raise in under 60 days using AI-driven targeting and multi-touch outreach.
The Blueprint to Pipeline a $22,400,000 Reg-D 506(c) Round with 0% Broker Fees — A step-by-step blueprint for closing a $22.4M Reg-D 506(c) round without paying broker-dealer or placement agent fees — using AI investor targeting, a compliant outreach stack, and an integrated data room.
How a Biotech Startup Mapping 14 Biomarkers Can Automate Outreach to 1,200 Healthcare Angels — A precision outreach model for biotech founders using AI to filter a 125,000-profile investor database down to 1,200 thesis-matched healthcare angels and deploy personalized sequences with 14–22% response rates.
Modeling a $8,250,000 Capital Raise in 45 Days: The Multi-Touch Sequence for Texas Real Estate Syndications — How Texas real estate syndicators can compress a $8.25M raise into 45 days by deploying a 5-touch AI outreach sequence targeting accredited investors with documented real asset thesis alignment.
How a FinTech SaaS Can Engineer an 88% Pitch-Deck Engagement Rate Across 150 Family Offices — How a FinTech SaaS company can achieve an 88% pitch deck open rate across 150 family offices by combining AI-powered investor matching, thesis-personalized outreach, and a tracked data room.
How to Build a 9-Stage AI Filter to Qualify 312 Ultra-High-Net-Worth Individuals for a $15M Series A — A precise framework for filtering 125,000+ investor records down to 312 ultra-high-net-worth individuals with documented technology investment history and $500K+ check capacity for a $15M Series A.
How a Consumer Tech Brand Can Structure a $4,952,100 Reg-CF Campaign Using $0 in Paid Ads — A model for closing a $4.95M Reg-CF raise without paid advertising — using AI-matched investor outreach, community activation, and a conversion-optimized data room to drive retail investor conversions.
The Math Behind Converting 1,420 Retail Investors into $3,150,000 of Compliant Capital — A unit economics model for Reg-CF issuers showing how to convert 1,420 retail investors at a $2,218 average ticket size into $3.15M using AI-personalized outreach, social proof sequences, and a compliant data room.
How a Renewable Energy Project Can Scale a Reg A+ Offering to $48,200,000 Across 4 Dynamic Cohorts — A Reg A+ scaling model for renewable energy projects raising $48.2M by deploying investor outreach across 4 sequenced cohorts — each targeting progressively larger check sizes with AI-personalized messaging.
The Exact Data Room Framework to Reduce Drop-Off Rates by 42% on a $2.5M Crowdfund — The data room is where most Reg-CF raises lose investors silently. This framework shows the exact document order, NDA gate placement, and engagement signals that reduce drop-off by 42% on crowdfunding campaigns.
How a Gaming Studio Can Maintain a $1,250 Average Ticket Size Across 2,400 Reg-CF Investors — How a gaming studio can raise $3M from 2,400 Reg-CF investors while maintaining a $1,250 average ticket by segmenting outreach by investor profile, deploying community-driven social proof, and using a tiered incentive structure.
Structuring a $75,000,000 Reg A+ Capacity Model: Tracking 15 Fit Dimensions Per Lead — How to architect a $75M Reg A+ raise that scales without breaking compliance — using 25+ investor fit factors, a 4-cohort deployment model, and AI-driven outreach to reach both retail and institutional investors simultaneously.
How a Tokenized Commercial Real Estate Fund Can Map and Close $31,450,000 in Equity in 90 Days — A complete outreach and pipeline model for tokenized real estate funds targeting $31.45M in 90 days — combining AI investor matching, blockchain-native investor targeting, and a compliant digital data room.
The Security Token Offering (STO) Framework to Raise $12,800,000 Without Regulatory Delays — A step-by-step STO capital raise framework showing how to target the right qualified purchasers, structure investor outreach for digital securities compliance, and close $12.8M without triggering regulatory delays.
How an On-Chain RWA Platform Can Compliantly Acquire 650 Qualified Non-US Investors — How on-chain real-world asset (RWA) platforms can compliantly acquire 650 qualified non-US investors using Reg S exemptions, AI-filtered international investor targeting, and multi-jurisdiction outreach sequences.
The Outbound Architecture Needed to Route a $9,620,000 Layer-1 Protocol Ecosystem Fundraise — How a Layer-1 protocol can raise $9.62M by building a segmented outreach architecture targeting crypto-native VCs, infrastructure funds, and protocol-focused family offices — each approached with thesis-specific messaging.
How a Fractionalized Logistics Asset Fund Can Target a Higher Conversion on Seed LPs — A conversion model for fractionalized logistics asset funds showing how to target infrastructure and real asset LPs with yield-first messaging and achieve a higher rate.
The Compliance Architecture to Onboard $18,400,000 in Web3 Capital While Filtering 100% of Sanctioned Wallets — How to raise $18.4M in Web3 capital while maintaining full OFAC compliance — using on-chain wallet screening, KYC/AML automation, and AI investor targeting to filter sanctioned wallets before the first outreach touch.
Why an Automated 9-Stage Pipeline Can Reduce Time-to-Term-Sheet from 180 Days to 42 Days — How a 9-stage AI fundraising pipeline with automated follow-ups, engagement signals, and CRM triggers can compress the average 180-day fundraise to 42 days — with documented case data from early-stage and growth-stage raises.
The Unit Economics of How a $499/Mo AI Agent Can Outperform a $15,000/Mo Retained IR Firm — A unit economics breakdown comparing a $499/month AI investor relations AI Agent against a $15,000/month retained IR firm — covering database size, outreach volume, response rates, and cost per investor closed.
How Scoring Investors Across 20+ Data Dimensions Can Boost Meeting Booking Rates by 310% — How multi-dimensional investor scoring across 20+ data points — thesis alignment, portfolio recency, check size match, deployment pace — can increase meeting booking rates by 310% over single-dimension targeting.
The 30-Second Pitch Deck Test: How a Model of 4,200 Decks Reveals the Exact 3 Slides VCs Read First — Analysis of 4,200 pitch decks reveals VCs spend the first 30 seconds on just 3 slides. Learn which slides they are, what VCs look for in each, and how to optimize your deck for maximum engagement before a single meeting.
How Automated Multi-Step Outreach Sequences Can Generate a 4.2x Higher LP Response Rate Over Warm Intros — A response rate analysis showing how AI-personalized multi-step outreach sequences generate 4.2× higher LP response rates than warm introductions — with data on optimal sequence length, timing, and channel mix.
The Semantic Follow-Up Model: Why 74% of Institutional Capital Can Be Positioned to Close on the 5th Touch — A follow-up sequencing model showing how semantic variation in multi-touch outreach — where each message builds on the previous without repeating it — positions 74% of institutional investors to convert by the 5th contact.

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Company

GIGABOOST.AI is software, not a broker-dealer. Results vary; nothing here is a promise of meetings or capital raised.