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.
Exploring Partnerships

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