Urban.MASS: Revolutionising Urban Mobility with AI-Driven Transit

2025/05/29

LONDON, UK – May 29th 2025 – Urban.MASS Ltd, a pioneer in autonomous urban transit, presnets its AI-powered floc® and DuoRail® systems, delivering zero-emission mobility at ~50% the capital cost of traditional transit. Following a £10M Pre-Series A valuation, Urban.MASS invites AI investors to join its Q4 2025 Series A to transform global mobility in the $3T market.

Urban.MASS’s modular 16-passenger battery electric vehicles (BEVs) and compact DuoRail® tracks integrate seamlessly into dense cities, serving transport hubs, feeder lines, airport terminals, and multi-modal systems. With project prospects in the UAE, KSA giga projects, Botswana, Namibia, and Angola, Urban.MASS offers a turn-key scalable, sustainable transit technology for urbanising populations (68% globally by 2050). AI optimises design, operations, and passenger experience, making Urban.MASS a prime investment for AI’s application layer.

Autonomous Transit: AI’s High-Impact, Lucrative Application

At Sequoia Capital’s ‘AI Ascent’ event, attended by Jensen Huang and Sam Altman, it was acknowledged that AI’s super-value lies in the application. Urban.MASS harnesses AI to address urban congestion, emissions, and accessibility, delivering:

Real-Time Navigation: AI processes sensor, GPS, and traffic data for dynamic routing and obstacle avoidance, ensuring safe, efficient travel.

Predictive Optimisation: Machine learning forecasts demand, traffic, and maintenance, potentially cutting costs by 20% and enhancing reliability.

Scalable Intelligence: AI-driven V2I/V2V communication optimises traffic flow and energy use in high-density cities.

Passenger Journey Planning: AI-powered mobile agents optimise routes, costs, and bookings, improving user experience and operator insights.

Sustainable Impact: AI minimises energy use in BEVs and tracks, aligning with global net-zero goals.

Value for AI Technology Developers and Investors

Unlike Waymo or Tesla’s Robo Taxi, Urban.MASS’s floc® operates on segregated routes and / or tracks, simplifying regulatory hurdles, accelerating global scalability, and delivering cost efficiency as reported by AI-driven systems like Transport for London’s demand forecasting (10% better on-time performance) and Honolulu’s autonomous metro (40,000 fewer car trips daily).

Urban.MASS's early estimates suggest a 1,000-pod network over 20km could demand approximately 1000+ NVIDIA H100 GPUs, valued at circa $30M. Scaling to 23 projects by 2030 (4 in 2027, 9 in 2028, 15 in 2029, 23 in 2030), floc® demands ~24,150 NVIDIA H100 GPUs ($735M), fueling NVIDIA’s (or other GPU suppliers) growth in autonomous transit and potentially boosting investor returns (50–75% ROI by 2027). AI investors would be positioned to gain dual upside: enhanced NVIDIA holdings and exposure to Urban.MASS’s $800B transit market capture with 40–50% margins by 2027.

AI-Powered Efficiency and Scalability

Urban.MASS leverages AI for:

Vehicle Design: AI optimises 16-passenger pods for strength, weight, and comfort across at-grade, tunnel, or elevated operations.

Track Design: AI ensures that designs are robust, underpinning sustainable DuoRail® systems, reducing environmental impact and costs.

Route Optimisation: AI improves demand forecasting, improves capacity utilisation, minimises wait times, and blends scheduled and on-demand services with existing / legacy networks.

Construction Efficiency: AI streamlines project scheduling, predicting delays for cost-effective delivery.

Operations: AI monitors performance and passenger flows, ensuring reliability.

Fare Strategy: AI analyses peak times, demographics, and MaaS integration for optimal pricing and revenue.

Profitability: AI-driven insights project 40-50% EBITDA margins by 2027.

Global Vision, Strategic Projects

Urban.MASS’s pipeline spans UAE, KSA giga projects, US & EU airports and the big-balance sheet African markets, supporting both futuristic and existing but underserved regions. “Autonomous transit is AI’s killer app,” said Founder & Co-CEO Ricky Sandhu. “Our AI-driven systems optimise mobility, delivering value from Middle East mega projects to African markets. Join our Series A to back a billion-dollar AI application.”

Investor Contact: invest@urbanmass.co.uk

Media Contact: press@urbanmass.co.uk

About Urban.MASS

A software-defined, hardware-enabled autonomous transit system (vehicle & infrastructure, V2I) designed to transform the way we traverse through cities.

Urban.MASS’s patented floc® and DuoRail® systems deliver 20,000 passengers per hour per direction (pphpd) at $15-80M/km CAPEX, ~50% below light-rail’s $238M/km average and within bus rapid transit’s $5-20M/km range. Following a Pre-Series A valuing the company at £10M, Urban.MASS is building a full-scale prototype and pursuing its first commercial order. The $800B mid-capacity transit market (2025-35) includes over 500 projects across 40 countries, with $260B in Urban.MASS’s cost/capacity sweet spot.

Addressing the 10-20K pphpd “missing-middle” gap between bus rapid transit (<10K pphpd) and costly light-rail/metro (>20K pphpd), Urban.MASS’s modular, elevated, or at-grade systems minimise land use and construction time. Patents cover dual-mode operation, wheel assemblies, and floc® pod design. Partnerships with contract manufacturers and the Global Centre of Rail Excellence in Wales ensure prototype validation.

The asset-light model—licensing, royalties, and after-care fees—projects positive EBITDA in 2026 and 40-50% margins by 2027-35. Aligned with net-zero mandates, EU Taxonomy, U.S. DOT greenhouse-gas scoring, and Gulf states’ Vision 2030, Urban.MASS delivers scalable, equitable, zero-emission transit.

Press: press@urbanmass.co.uk