Investor Relations

The Intelligence Layer for 165 Million Investors

Retail investors now represent 62% of the US population — yet zero platforms deliver AI-native market intelligence built for them.[1] FuturePort is changing that.

165M
US retail investors[1]
37%
Gen Z investing by age 25[2]
280×
AI inference cost drop since 2022[3]
$56.9B
AI-in-fintech market by 2030[4]
The Opportunity

A Category Waiting to Be Defined

Institutional investors have Bloomberg. Retail investors have… price charts and Reddit threads. The intelligence gap is massive — and growing.

The Addressable Market

There are approximately 165 million retail stock investors in the US — roughly 62% of the adult population.[1] Retail investors now account for 30–37% of daily US equity trading volume, up significantly from pre-pandemic levels.[5]

The global AI-in-fintech market is projected to reach $56.9 billion by 2030, growing at a 19.8% CAGR.[4] Yet no incumbent is building AI-native intelligence specifically for the retail segment. The category is wide open.

62%
US adults investing
34%
Daily volume from retail
19.8%
AI-fintech CAGR to 2030

The Demographic Tailwind

Gen Z is investing earlier than any prior generation. Participation among 25-year-olds surged from 6% in 2015 to 37% in 2024 — a 6× increase in under a decade.[2]

Average age of first investment

Gen Z20 yrs
Millennials25 yrs
Gen X32 yrs
Boomers35 yrs

Source: CFA Institute, "Gen Z and Investing" (2024)[6]

Why Now

The AI Cost Revolution

Between November 2022 and October 2024, the cost to run inference at GPT-3.5-level performance dropped by more than 280× — from $20.00 to $0.07 per million tokens.[3]

The cost-efficiency frontier has fallen 99.7% since GPT-4's launch, making real-time, multi-model financial analysis viable at consumer price points for the first time.[7]

This isn't incremental improvement — it's a structural shift that makes FuturePort's entire business model possible.

AI inference cost per million tokens (GPT-3.5-level)

Nov 2022 (GPT-3.5)$20.00
Mar 2023 (GPT-4)$37.50
Mid 2024 (Open-source)$0.20
Oct 2024 (Frontier)$0.07

Sources: Stanford HAI 2025 AI Index Report; Epoch AI Inference Price Trends[3][7]

Market Convergence

  • 91% of asset managers are using or planning to use AI in portfolio research — but retail has no equivalent tool[8]
  • 29% of retail investors now rely on social media for investment research, with 61% of under-35s using YouTube[9]
  • The World Economic Forum reports a structural shift toward younger, digital-native investors reshaping market dynamics[10]
  • 78% of organizations now use AI in at least one business function — up from 55% in 2023[3]

What We've Built

FuturePort is a live product — not a pitch deck. We ingest daily price, fundamentals, and macro data from public institutional sources and run a multi-factor scoring pipeline that delivers AI-assisted signals to retail investors.

4
Public data sources wired in
Multi
Factor scoring per signal
2
AI models in production
Daily
Batch signal refresh
Demographic Shift

The Fastest-Growing Investor Segment

Gen Z is 6× more likely to be investing now compared to 2015. 54% begin investing by age 21 — versus 31% of Millennials and 27% of Gen X.[11][6]

This generation expects AI-native tools as the default. They don't want legacy platforms with AI bolted on — they want products built on AI from day one. That's FuturePort.

Investing participation by age 25 (% of generation)

Gen Z (2024)37%
Millennials17%
Gen X9%
Boomers6%

Source: JPMorgan Chase Institute, "A Decade in the Market" (2025); Fortune / JPMorgan (2025)[2][11]

What We're Raising For

Capital will accelerate product development, expand our data pipeline, and fuel user acquisition as we scale from early adopters to mass market.

AI & Data Infrastructure
50%
Expand our data sources, build out the scoring pipeline, and self-host an open-source AI model for routine NLP work. Inference cost collapse means every dollar buys 280× more compute than two years ago.
Growth & Acquisition
30%
Target the 165M US retail investors through content marketing, strategic partnerships, and community-driven distribution channels.
Team & Operations
20%
Hire senior ML engineers, data scientists, and a growth lead. Build the team that scales FuturePort from product to platform.
Partnerships — Exploring

Open to Working with Banks & Brokers

We’re early in exploring distribution partnerships with retail banks, brokerages, and wealth platforms. If you’re at an institution looking for AI-native ways to surface your products to a digital-native audience, we’d love to compare notes.

What We Have in Place Today

FuturePort is a live consumer product with a production account-linking flow powered by Plaid. Users already connect their brokerage and bank accounts, and we pull holdings, positions, and transactions through that integration.

That existing plumbing is what a partner integration would build on. We have not yet built a dedicated partner framework or product-catalog ingestion pipeline — that’s exactly what we’d design alongside an early partner, not something we’re claiming as a finished product.

Live today
Plaid-powered account linking, holdings sync, portfolio analytics
In design
Partner onboarding flow, product catalog ingestion, co-branded surfaces
On the roadmap
Attribution reporting, advisory content feeds, white-label embedding

Why We’d Like to Talk

  • Mutual fit
    You have retail customers and products. We have a growing audience of engaged retail investors and the intelligence layer that makes dry fund data feel alive.
  • Design partnership
    We’d rather co-build the integration with one or two early partners than ship a generic framework nobody asked for.
  • Honest scope
    A first pilot would likely look like a simple co-branded surface or API hookup, not a turn-key integration hub. We’ll be transparent about what’s production vs. what we need to build.
Who We’d Love to Hear From

Retail Banks, Brokerages & Wealth Platforms

If you’re an institution with retail customers and no AI-native experience layer — or you’re rethinking how to reach younger, digital-first investors — we’d genuinely like to learn what would make a partnership useful to you before we build anything.

Brokerages
Neobanks
ETF Issuers
Robo-Advisors

We’re open to exploratory calls with no expectation attached. Happy to share what we’ve built and hear what you’d actually find useful.

Start a Conversation
We're not building another trading app — we're building the intelligence layer for 165 million investors.

Let's Talk

Interested in investing or partnering with FuturePort? Reach out directly for the full picture — our business model, founding team, current traction, round details, competitive positioning, and product roadmap are all shared under NDA on request.

Contact the Founder

founder@future-port.org