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Transport
Reconfigure a full-scale street, then watch how curbs, micromobility, shuttles, charging, transit technology, and wayfinding reshape movement in real time.
Make New York's FiDi the World Capital for Urban Solutions.
Cities face many forces, but two now demand action: climate and . Climate damage is already costly and accelerating. AI will soon run grids, buildings and traffic. Unmanaged, it can fail at city scale, and some experts warn advanced AI could pose an .
Policy is falling behind. At , the UN’s annual climate summit, nations still make pledges faster than they cut emissions, and COP30 ended without a roadmap off fossil fuels. . AI has no consistent rules at all.
Invent.City starts with the economic impact of these forces: Swiss Re estimates inaction could cut global GDP by about 14%, a $23 trillion hit by 2050. Invent.City projects a for urban solutions. The math is simple: protecting Lower Manhattan from flooding costs $5–7 billion and prevents more than $20 billion in damage.
Invent.City applies the same logic to New York City’s Financial District (FiDi). It intends to turn vacant offices into a marketplace that sells urban solutions to cities worldwide. It works in four steps:
It is also an economic windfall for New York: 13,173 jobs, $2.4 billion a year in direct economic activity, $219 million in taxes and fees, and $71 million in recurring real-estate revenue.
2. STRATEGY
Events + Media. Trade Mart. Economic Cluster. Model City.
Start cheap. Events, roundtables and media cost a fraction of a building and answer the question that decides everything after it: who will buy. Cities need climate, AI and energy solutions that work; companies need buyers; investors need visible markets. New York is already an , with the buyers, capital and problems in one place.
2025
Cities are the demand side, and demand is moving. Urban growth is shifting to Africa and South Asia, while climate risk, cooling loads and AI raise the stakes everywhere. By 2100, Lagos, Kinshasa, Dar es Salaam, Mumbai, Delhi and Dhaka could each top 50 million people. They need working systems faster than conventional procurement can deliver.
Cities are massive markets under pressure. Climate and AI are the immediate forces; energy, and geopolitics intensify them. is already building the industries that answer them. Invent.City reads those forces to point capital at what cities must buy next.
CLIMATE
CRISIS
ENERGY +
RESOURCES
TECHNOLOGY +
INFRASTRUCTURE
PEOPLE +
SOCIETY
ECONOMY +
GEOPOLITICS
Trade Marts are a proven business model. They bring buyers and sellers together and make purchasing continuous. In FiDi, city leaders can compare climate, AI, energy and infrastructure systems, test performance and arrange financing through New York’s financial network, with architects and engineers close by.
RAI
Amsterdam / Brussels
Chelsea Harbour
London
The Mart
Chicago
Dallas Market Center
Dallas / Austin
PDC
Los Angeles
World Trade Centre
Dubai
Hannover Messe
Hanover
AmericasMart
Atlanta
New York gives Invent.City the stage: global city, financial capital, media center, technology hub and home to the United Nations. FiDi adds transit, visibility and significant . The result is a market floor where buyers, companies and investors can meet.
FIDI ADVANTAGE
Transit
Transit
FIDI ADVANTAGE
Open Space
Open Space
FIDI ADVANTAGE
Logistics
Blue Highway
FIDI ADVANTAGE
Institutions
Institutions
FIDI ADVANTAGE
Flood Defense
Flood Defense
FIDI ADVANTAGE
Global Reach
Global Reach
Immersive showrooms put products inside working environments. Buyers see AI controls, smart buildings, transit, wayfinding, charging and resilience systems operate together. Simulations and stress tests turn browsing into proof.
Buildings
Turn up the heat, cut the power, and adjust controls inside occupied-room simulations to see how building systems protect comfort and continuity.
Power
Balance generation, storage, microgrids, charging, and demand from a live control room, then stage an outage to see which systems keep the district running.
Waste
Send materials through collection, sorting, composting, reuse, and energy recovery, tracing where contamination appears and where discarded material becomes a valuable input.
Agriculture
Harvest from working grow rooms, taste the output, and trace water, energy, compost, labor, and cold-chain decisions from seed to sale.
Consumer
Use low-waste products inside apartment, hotel, office, and retail settings, revealing how they perform where residents, guests, employees, and customers encounter them.
Energy
Combine solar, heat pumps, thermal storage, smart meters, and efficiency controls in a building-scale lab, then tune the system through changing demand.
Water
Trigger a cloudburst and heat wave across a working streetscape, then watch drainage, cooling, leak detection, irrigation, reuse, and flood protection respond together.
Wastewater
Follow a single stream through sensing, treatment, reuse, and nutrient recovery, seeing what can return safely to buildings, landscapes, or industry.
AI
Run a city digital twin from an immersive command center, testing permitting, emergency response, and daily operations as recommendations change under pressure.
Robotics
Direct inspection, delivery, cleaning, maintenance, and emergency robots through real street and building obstacles, exposing where autonomy succeeds, hesitates, or requires human judgment.
Logistics
Route one delivery from vessel to microhub, cargo bike, locker, and electric fleet, seeing how each handoff affects the curb and final mile.
The Trade Mart is the anchor; media, events and online channels extend the market. Stories create attention, gatherings convert attention into meetings and pilots, and virtual showrooms keep the market , in every time zone.
FiDi’s 10.7 million vacant square feet are capacity, not just vacancy. Invent.City can fill 1 MSF directly and draw another 2 MSF of supporting offices around it. Flexible space lowers costs, speeds launch and complements , which work only where buildings fit.
Current Initiatives
New York is already building here: a thermal energy network, a freight microhub, Blue Highway marine freight and coastal resilience, in and around FiDi. Invent.City turns that public work into sales proof, draws companies and speeds investment.
Model cities are often fanciful; a few, like Curitiba, changed how the world builds. FiDi is different: it upgrades a district that already exists, the problem most cities face as AI, climate risk and energy demand outrun aging systems. The Model City is a direction, not a blueprint. The Trade Mart is the first point of : one focused intervention that can spread to greener streets, more public space, better transit and stronger district systems.
TRADE MART
SEE • COMPARE
FINANCE • BUY
CLUSTER
COMPANIES • TALENT
RESEARCH • CAPITAL
CITY
JOBS • PUBLIC SPACE
HOSPITALITY • REAL ESTATE
A showroom displays a product. A model city proves operations: clean energy, water reuse, rooftop food, car-free streets, new mobility and neighborhood hubs for deliveries, waste and public toilets, all working together. City leaders see, test and buy before deploying at home.
The value does not stop at the showroom door. The Mart brings tenants, buyers and visitors back to the same blocks every week. New demand supports better streets, cleaner sidewalks, safer public space and a stronger district economy.
3. TACTICS
Build Demand Now. Finance the District Next.
Invent.City brings buyers, suppliers and investors together around , and . Roundtables build demand before the Mart opens: test the problem, identify buyers, shape pilots and publish the market signal.
A Future City exhibit makes the choice visible. In the city, climate action and accountable AI make life safer. In the city, delay, extreme heat and unsupervised AI overwhelm public control. New York, Lagos and London show both futures.
Current
Utopian
Dystopian
At full build, the Trade Mart occupies 1 MSF and draws 2 MSF of supporting offices: 3 MSF in all, over a quarter of FiDi’s 10.7 MSF of vacant office space. Invent.City finances it in phases. Real-estate debt, sponsorship, venture and private equity, and civic tools each fund the risk they fit.
| Funding Tier | Capital Source | Target Allocation | Primary Use Cases |
|---|---|---|---|
| Phase I: Pre-Development & Site Selection | Public-Private Grants, Anchor VC, Sponsor Equity | $50M – $100M | Master planning, digital twin software, initial lease commitments, regulatory approvals. |
| Phase II: Real Estate & Buildout (FiDi Mart) | Commercial Real Estate Debt, PILOT / IDA Bonds, Con Edison / NYSERDA Incentives | $500M – $1.2B | Commercial lease acquisitions, physical infrastructure (microgrid, water systems loop, street labs). |
| Phase III: Showroom & Sub-Market Expansion | Corporate Anchor Tenant Capital, Vendor Fit-Out Financing | $300M – $500M | Immersive sector room buildouts (AI, Energy, Transport, Robotics, Water). |
| Phase IV: Global Project Fund (Invent.City Capital) | Infrastructure Funds, Green Bonds, Sovereign Wealth | $1.0B+ Deployment Pipeline | Direct project financing for cities purchasing turnkey urban solutions from showroom vendors. |
Near-Term (Months 0–12):
Secure seed funding, anchor real-estate partners and non-binding letters of intent from 20–30 founding vendors.
Medium-Term (Months 12–36):
Finalize NYC incentives, test bond financing through NYC IDA or Build NYC, and sign anchor leases in Lower Manhattan.
Long-Term (Months 36+):
Launch the project-finance marketplace linking cities that buy in the Mart with infrastructure funds ready to deploy.
Pilots stall when nobody funds the next step. Invent.City gives investors four entry points: the initiative, the buildings, a single showroom, or buyer-backed projects. The money follows proven demand.
Cities are buyer, regulator and problem owner at once. Invent.City brings all three roles into the market, from city agencies to state, federal and international partners. That turns public need into bankable demand.
Evidence and access come from groups already in the field. Invent.City partners with and that identify need, document failure and convene the residents these systems serve.
The Mart needs suppliers in the room first. Invent.City recruits companies that design, build, finance and operate : the sell side of the market. Founding partners bring products, delivery capacity and the credibility that draws the rest.
Every showroom needs what comes next. Incubators and accelerators supply it: a global network already selecting, funding and testing the companies the Mart can host. Invent.City plugs into that pipeline instead of rebuilding it.
100%
Invent.City scores FiDi buildings and public spaces on visibility, access, flexibility, cost, ownership readiness and event capacity. A three-stage sorts each property into anchor, cluster, flex or pop-up use. The portfolio flexes with demand.
FiDi Venue
4. BENEFITS
Cities Get Tested Solutions. Companies Get Buyers. New York Gets an Economic Engine.
| Base-case annual public revenue reconciliation | Amount |
|---|---|
| Tourism taxes and feesFrom 4.1, excluding tourism PIT | $ 86,751,875 |
| Trade Mart modeled public revenueFrom 4.2, including payroll-related and sales taxes | $ 132,569,719 |
| Gross recurring NYC real-estate revenue capacityFrom 4.3; gross capacity, not net incremental revenue | $ 70,675,722 |
| Combined modeled public revenue and gross capacity$ 219,321,594 modeled taxes and fees + $ 70,675,722 gross capacity | $ 289,997,316 |
How these numbers were built
These are planning scenarios, not forecasts. The headline combines three cases: visitors, the Mart and real estate. Visitors model volume, stay, spending, taxability and jobs. The Mart models area, job density, wages, procurement and tax rates.
Real estate models 3 million square feet: 1 million direct Trade Mart space and 2 million supporting offices. It covers rent, operating costs, capitalization, assessment, tax rates, phase-in and commercial rent tax.
Real-estate capacity is gross, not net: existing assessments, taxes, exemptions, abatements and transitional values are not deducted. Sections 4.1–4.3 show the assumptions, formulas and sources.
700K annual visitors $1.31B annual impact 6,173 supported jobs
| Tourism summary | Downside | Base | Upside |
|---|---|---|---|
| Annual visitorsFrom 4.1.2 Details: Table 1, Base assumptions | 400,000 | 700,000 | 1,000,000 |
| Traveler spending ($/yr)From 4.1.2 Details: Table 2A, Hotel and other traveler spending | $379,000,000 | $864,500,000 | $1,620,000,000 |
| Total economic impact ($/yr)From 4.1.2 Details: Table 2B, Total economic impact | $576,080,000 | $1,314,040,000 | $2,462,400,000 |
| Tourism-supported jobsFrom 4.1.2 Details: Table 3, Tourism-supported jobs | 2,706 | 6,173 | 11,567 |
| Modeled taxes and fees ($/yr, no PIT)From 4.1.2 Details: Table 4C, Tax totals roll-up | $38,518,438 | $86,751,875 | $160,889,063 |
| Rounded taxes and fees ($/yr, no PIT)From 4.1.2 Details: Table 4C, rounded grand total | $38.5M | $86.8M | $160.9M |
| Tourism PIT is excluded pending a separate tourism wage-and-residency model. Jobs scale with direct traveler spending using NYC's 2025 spending-to-jobs ratio. Scenarios assume 1.25 guests per occupied room and a 75% taxable share of non-hotel spending. | |||
7,000 on-site jobs $1.2B on-site payroll $1.5B direct activity
| Trade Mart summary | Base |
|---|---|
| On-site jobs (1,000 showroom + 6,000 supporting offices)From 4.2.2 Details: Table 1, Jobs based on area | 7,000 |
| On-site payroll ($/yr)From 4.2.2 Details: Table 2B, Base-case payroll detail | $1,165,000,000 |
| Local procurement ($/yr)From 4.2.2 Details: Table 3, Local procurement | $349,500,000 |
| Total direct activity ($/yr)From 4.2.2 Details: Table 4, Direct campus activity | $1,514,500,000 |
| Note: Direct activity shown here is kept separate from tourism and real-estate modules to reduce double counting. | |
The 3 MSF is 1 MSF of Trade Mart plus 2 MSF of supporting offices it draws in. Invent.City turns empty space into productive capacity in phases, not all at once.
3 MSF back to work $1.8B implied asset value $70.7M/yr recurring NYC revenue
| Real estate summary | Downside | Base | Upside |
|---|---|---|---|
| Stabilized leased area (sf)From 4.3.2 Details: Table 1, Leasing assumptions | 3,000,000 | 3,000,000 | 3,000,000 |
| Annual rent ($/yr)From 4.3.2 Details: Tables 1 and 1A, rent total | $165,000,000 | $165,000,000 | $165,000,000 |
| NOI ($/yr)From 4.3.2 Details: Table 2B, Total NOI on 3.0 MSF | $102,000,000 | $106,860,000 | $111,750,000 |
| Illustrative implied value at 6.0% cap ($)From 4.3.2 Details: Table 2C, Implied value from capitalized NOI | $1,700,000,000 | $1,781,000,000 | $1,862,500,000 |
| Modeled recurring NYC revenue capacity ($/yr)From 4.3.2 Details: Table 4C, Total modeled recurring NYC revenue capacity | $66,744,900 | $70,675,722 | $74,303,100 |
| Rounded recurring NYC revenue capacity ($/yr)From 4.3.2 Details: Table 4C, rounded total | $66.7M | $70.7M | $74.3M |
| Gross capacity is shown separately from modeled taxes and fees because current assessments, existing taxes, exemptions, abatements, and transitional values have not been deducted. | |||
