The most expensive question in urban planning is a simple one: what if? What if you added a new bus lane, changed a toll price, or closed a street? Mobiliti Labs is betting that answering those questions requires a simulation engine that can model every car, bus, and person in a metropolitan area, all at once. The company, which licensed its core software from UC Berkeley's Lawrence Berkeley National Laboratory, uses high-performance computing to run city-scale traffic simulations in minutes instead of days [UC Berkeley Institute of Transportation Studies, March 2024].
The HPC wedge into urban planning
Mobiliti's product is a Parallel Discrete Event Simulation (PDES) platform built to run on cloud-based HPC clusters [Smart Cities Research Center, Mobility Overview]. The technical approach allows it to simulate millions of individual agents, nodes, and links across a regional road network. For a region like the San Francisco Bay Area, the platform can estimate outcomes for congestion, energy use, and economic productivity within a single compute session [Institute of Transportation Studies, Mobiliti: A shift for Analyzing Traffic Congestion].
The company's initial wedge is the transportation modeling software developed by Professor Scott Macfarlane and his team at the UC Berkeley Smart Cities Research Center [UC Berkeley Institute of Transportation Studies, March 2024]. By licensing this proven academic research, Mobiliti Labs gets a running start with a validated simulation core. The focus is on providing "spatial intelligence" in what the company calls "human speak," aiming to make complex simulation outputs actionable for non-technical decision-makers [Mobiliti Labs, retrieved 2025].
Why the market is moving to simulation
Urban infrastructure spending is massive, and mistakes are costly. The tailwind for Mobiliti is a growing recognition among city governments and consultancies that they need better predictive tools before breaking ground.
- Federal funding mandates. New infrastructure bills often require more rigorous impact analysis.
- Climate pressure. Cities have net-zero commitments that require modeling the carbon impact of transportation changes.
- Rise of digital twins. The broader adoption of city-scale digital twins is normalizing the use of simulation in municipal IT budgets.
The technical breakdown and scale risks
The promise of simulating millions of agents hinges on efficient parallelization. The PDES architecture breaks the simulation domain into partitions that can be processed simultaneously across many compute cores. The technical challenge is maintaining consistency across these partitions, ensuring that an event in one partition correctly influences an agent in another.
Where the model could face friction at scale is in data ingestion and validation. A simulation is only as good as its input data: traffic counts, origin-destination surveys, public transit schedules, and land-use patterns. Sourcing, cleaning, and continuously updating this data for hundreds of cities is a massive operational lift. Furthermore, the computational cost of running these models, even on efficient cloud HPC, creates a significant variable cost that must be factored into the SaaS pricing model.
Navigating a quiet launch
As an academic spinout, Mobiliti Labs has followed a quiet commercial path. The company's headquarters in Berkeley, California, places it within the ecosystem of its birth. The next twelve months will likely determine if Mobiliti can transition from a promising research project to a commercial entity. Key signals to watch include a named enterprise customer reference, a disclosed funding round, and clarity on how it packages and prices access to its compute-intensive platform.
Sources
- [Mobiliti Labs, retrieved 2025] Home | Mobiliti | https://www.mobilitilabs.ai/home
- [UC Berkeley Institute of Transportation Studies, March 2024] Macfarlane, Mobiliti Labs License Innovative Software | https://its.berkeley.edu/news/macfarlane-mobiliti-labs-license-innovative-software
- [Smart Cities Research Center, Mobility Overview] Mobiliti: A shift for Analyzing Traffic Congestion | https://smartcities.berkeley.edu/mobiliti
- [Institute of Transportation Studies, Mobiliti: A shift for Analyzing Traffic Congestion] Project Description | https://its.berkeley.edu/research/impact/mobiliti-shift-analyzing-traffic-congestion