Mobiliti Labs

Cover Block

PUBLIC

Attribute	Value
Name	Mobiliti Labs
Tagline	A massive-scale simulator revealing urban insights through spatial intelligence, delivered in human speak. [Mobiliti Labs, retrieved 2025]
Headquarters	Berkeley, CA
Business Model	SaaS
Industry	Deeptech
Technology	AI / Machine Learning
Growth Profile	Venture Scale
Founding Team	Academic Spinout

Links

PUBLIC

• Website: https://www.mobilitilabs.ai/

Data Accuracy: GREEN -- Confirmed by company website [Mobiliti Labs, retrieved 2025].

Executive Summary

PUBLIC Mobiliti Labs is commercializing a high-performance computing platform for urban transportation simulation, a bet that the complexity of modern infrastructure planning demands a new class of analytical tool. The company's immediate relevance stems from its exclusive licensing of advanced modeling software developed at UC Berkeley's Smart Cities Research Center and Lawrence Berkeley National Laboratory, a relationship that provides a significant technical moat and de-risks the core IP [UC Berkeley Institute of Transportation Studies, March 2024]. The platform, called Mobiliti, is designed to simulate the movement of an entire metropolitan population through a regional road network, allowing planners to test infrastructure changes and estimate congestion, energy use, and productivity loss in minutes rather than months [Institute of Transportation Studies, 2023 SB1 and RIMI Projects Funded].

The founding narrative is one of academic spinout, with Professor Scott Macfarlane cited as the academic developer of the licensed software [UC Berkeley Institute of Transportation Studies, March 2024]. While the commercial founding team is not publicly named, the company's headquarters in Berkeley, CA, and the depth of the underlying research suggest a close operational tie to the university ecosystem. The business model appears to be SaaS, targeting city governments, transportation agencies, and infrastructure planners, though specific pricing and customer deployments are not yet in the public record.

Over the next 12-18 months, the key watchpoints will be the translation of this research-grade technology into a commercial product with defined customer segments, the announcement of initial pilot deployments beyond the university, and any clarity on the company's capitalization and go-to-market leadership. The primary risk is the classic valley of death for deep-tech spinouts: moving from a proven simulation engine to a scaled, revenue-generating enterprise software business. Data Accuracy: YELLOW -- Core technology and licensing relationship confirmed by a primary source (UC Berkeley ITS); commercial details, team, and funding are not publicly available.

Taxonomy Snapshot

Axis	Classification
Business Model	SaaS
Industry / Vertical	Deeptech
Technology Type	AI / Machine Learning
Growth Profile	Venture Scale
Founding Team	Academic Spinout

Company Overview

PUBLIC

Mobiliti Labs exists as a commercial vehicle for a specific, advanced transportation modeling software developed within the University of California, Berkeley's research ecosystem. The company's public origin is defined by a formal licensing agreement, announced in March 2024, through which it obtained rights to commercialize software created by Professor Scott Macfarlane and his team at the UC Berkeley Institute of Transportation Studies and Lawrence Berkeley National Laboratory [UC Berkeley Institute of Transportation Studies, March 2024]. This transaction marks the transition of the Mobiliti simulation platform from an academic research tool to a commercial product.

The company is headquartered in Berkeley, California, aligning with its origins and the location of its licensed intellectual property [Mobiliti Labs, retrieved 2025]. Beyond this licensing milestone and its web presence, the company's founding date, legal structure, and subsequent operational milestones are not detailed in public records. No state business filings or incorporation records that clearly correspond to this specific entity were surfaced in the research.

Data Accuracy: YELLOW -- The licensing agreement and headquarters location are confirmed by a primary source (UC Berkeley). The absence of other founding and milestone data is itself a verified finding; no contradictory public information exists.

Product and Technology

MIXED

The core of Mobiliti Labs is a high-performance computing platform licensed from UC Berkeley, designed to simulate urban mobility at a regional scale. According to university research documents, the software, called Mobiliti, is a massive-scale simulator developed at the UC Berkeley Smart Cities Research Center and Lawrence Berkeley National Laboratory [Institute of Transportation Studies, Mobiliti: A shift for Analyzing Traffic Congestion]. It uses Parallel Discrete Event Simulation (PDES) to model the movement of an entire population through a road network, simulating millions of nodes, links, and individual agents [Smart Cities Research Center, Mobility Overview]. The company claims this allows it to estimate congestion, energy usage, and productivity loss for a region like the Bay Area within minutes [Institute of Transportation Studies, Mobiliti: A shift for Analyzing Traffic Congestion].

On its commercial website, Mobiliti Labs frames this capability as delivering "urban insights through spatial intelligence" in human language [Mobiliti Labs, retrieved 2025]. The platform is presented as a tool for cities, planners, and organizations to simulate infrastructure changes in real time and test "what-if" scenarios, powered by AI and HPC [Mobiliti Labs, retrieved 2025]. The primary public evidence of the product's existence and technical foundation is the March 2024 announcement that Mobiliti Labs licensed the innovative transportation modeling software from UC Berkeley, with Professor Scott Macfarlane noted as the academic developer [UC Berkeley Institute of Transportation Studies, March 2024]. Details on the commercial interface, specific AI applications, or integration capabilities are not described in available sources.

Data Accuracy: YELLOW -- Core technical description is confirmed by UC Berkeley research publications; commercial product claims are sourced solely from the company website.

Market Research

PUBLIC

The market for urban planning and transportation simulation software is expanding as cities face compounding pressures to modernize infrastructure, manage congestion, and meet sustainability goals with constrained budgets. This creates a clear need for tools that can model the complex, second-order effects of policy and investment decisions before capital is committed.

Quantifying the total addressable market for specialized simulation software is challenging, as it sits at the intersection of several larger, adjacent software categories. Public analyst reports provide useful analogs. The global smart cities market, which includes planning and analytics platforms, was valued at approximately $1.1 trillion in 2023 and is projected to grow to over $3 trillion by 2030 [MarketsandMarkets, 2024]. More narrowly, the market for traffic management systems was estimated at $44 billion in 2024 and is forecast to reach $85 billion by 2030 [Grand View Research, 2024]. While these figures encompass hardware, services, and broader software suites, they indicate the scale of municipal and private spending on urban mobility solutions where simulation could play a role.

Demand is driven by several converging tailwinds. Infrastructure spending in the United States is receiving a sustained boost from legislation like the Infrastructure Investment and Jobs Act, which allocates hundreds of billions for roads, bridges, and public transit [White House, 2021]. This funding increases the stakes for planning accuracy. Simultaneously, regulatory mandates for environmental impact assessments and climate action plans, such as those required under California's SB 375, compel municipalities to model emissions and traffic outcomes [State of California]. The rise of new mobility modes, from e-scooters to autonomous vehicle testing, introduces further complexity that legacy planning tools struggle to model at regional scale.

Key adjacent and substitute markets include traditional geographic information systems (GIS), transportation modeling suites from engineering firms, and broader urban data platforms. Established players like Esri dominate the GIS layer, while companies like PTV Group (owned by Bentley Systems) offer traffic simulation software used by transport authorities [Bentley Systems, 2023]. The competitive threat or partnership opportunity often depends on whether the simulation is viewed as a feature within a larger planning workflow or as a standalone decision engine. The regulatory environment is generally favorable but fragmented, with data privacy regulations (like GDPR and CCPA) governing the use of population-level mobility data, and procurement cycles for municipal software remaining long and complex.

Smart Cities Market 2023 | 1100 | $B
Smart Cities Market 2030 | 3000 | $B
Traffic Management Systems 2024 | 44 | $B
Traffic Management Systems 2030 | 85 | $B

The cited market sizes, while for broader categories, suggest the potential revenue pool for a tool that can claim a material impact on planning outcomes. The growth rates imply a receptive and expanding buyer base for data-driven urban intelligence.

Data Accuracy: YELLOW -- Market sizing is drawn from third-party analyst reports for analogous, larger markets; direct TAM for niche simulation software is not publicly available.

Competitive Landscape

MIXED

Mobiliti Labs enters a competitive arena defined by established enterprise simulation vendors, specialized transportation consultancies, and a growing number of AI-native startups, but its position is anchored by a unique academic licensing agreement rather than a traditional go-to-market footprint. The company's primary competitive claim rests on its licensed high-performance computing (HPC) simulation engine, which was developed for large-scale, regional urban modeling at UC Berkeley and Lawrence Berkeley National Laboratory [UC Berkeley Institute of Transportation Studies, March 2024].

The competitive analysis must therefore be constructed from the known landscape of urban simulation and planning tools. This landscape can be segmented into three broad categories. First, incumbent enterprise software providers like Bentley Systems (with its OpenRoads and CUBE suites) and PTV Group (VISUM/VISSIM) offer mature, widely adopted traffic modeling and planning tools. These are industry standards for many departments of transportation and engineering consultancies, with deep feature sets and integration into broader design workflows. Second, specialized transportation and urban planning consultancies (e.g., AECOM, WSP) often build proprietary models and offer simulation as a service, competing on domain expertise and bespoke analysis rather than a standalone software product. Third, a newer wave of AI and data analytics startups are targeting adjacent insights, such as StreetLight Data (using mobile location data for traffic metrics), Remix (for transit network planning), and UrbanLogiq (data aggregation and visualization for public agencies). These firms often focus on descriptive analytics and lighter-weight scenario planning rather than the computationally intensive, agent-based simulation that is Mobiliti's purported core.

Where Mobiliti Labs may hold a defensible edge today is in the raw technical capability of its licensed simulation engine. The software's origin in a national lab research environment suggests it was built to handle simulation scales,millions of agents across regional networks,that may be challenging for commercial off-the-shelf tools not originally designed for HPC clusters [Institute of Transportation Studies, Mobiliti: A shift for Analyzing Traffic Congestion]. This technical edge is tied directly to the licensed intellectual property and the ongoing academic involvement of its developers, such as Professor Scott Macfarlane [UC Berkeley Institute of Transportation Studies, March 2024]. However, this edge is perishable; it depends on the company's ability to productize the research code into a reliable, user-friendly SaaS platform and to maintain its technological lead as other vendors incorporate HPC and advanced AI into their own offerings. Without a visible commercial team or customer deployments, the durability of this advantage is unproven.

The company's most significant exposure lies in its lack of a commercial track record and the intense competition for budget within public sector and planning organizations. A named competitor like Bentley Systems has decades of entrenched relationships, a vast partner ecosystem, and a product suite that addresses the full project lifecycle from design to operations. Mobiliti, by contrast, appears to be a single-point simulation engine without a clear path to integration with existing planning and CAD workflows. Furthermore, the company faces potential channel conflict; many of its likely early adopters (city planners, metropolitan planning organizations) are already served by consultancies that might view Mobiliti's software as a disintermediating threat rather than a tool to purchase directly.

The most plausible 18-month competitive scenario hinges on Mobiliti Labs's ability to transition from a licensing announcement to a commercial product with reference customers. If the company can successfully productize its engine and secure a flagship deployment with a major metropolitan planning organization, it could establish a beachhead as the specialist tool for ultra-large-scale scenario analysis, a niche potentially underserved by generalist incumbents. In this scenario, a "winner" could be a data-centric startup like UrbanLogiq, if it partners with or acquires such a simulation capability to round out its analytics suite. Conversely, a "loser" in this timeframe could be Mobiliti Labs itself, if it fails to move beyond its academic origins and is outflanked by incumbents who simply license similar HPC technology from other research institutions or develop it in-house, rendering Mobiliti's initial technical edge moot.

Data Accuracy: YELLOW -- Competitive positioning is inferred from the company's stated technology and the general market landscape, as no direct competitors are named in available sources. The analysis of the simulation software's origins is corroborated by UC Berkeley publications.

Opportunity

PUBLIC

The prize for Mobiliti Labs is the transformation of urban planning from a slow, data-poor process into a dynamic, simulation-driven discipline, potentially creating the standard operating system for future city infrastructure.

The headline opportunity rests on becoming the default simulation layer for public-sector transportation planning. If the company can successfully productize and scale the licensed UC Berkeley software, it could establish the foundational model for how cities evaluate everything from new bus lanes to congestion pricing. The evidence for this outcome being reachable, rather than purely aspirational, lies in the proven technical foundation. The core Mobiliti simulation platform was developed at the Lawrence Berkeley National Laboratory and the UC Berkeley Smart Cities Research Center, where it demonstrated the ability to simulate millions of agents across a regional network like the Bay Area within minutes [Institute of Transportation Studies, Mobiliti: A shift for Analyzing Traffic Congestion]. This academic validation provides a significant head start over building a comparable capability from scratch. The licensing agreement itself [UC Berkeley Institute of Transportation Studies, March 2024] is the commercial catalyst, transferring a research-grade asset into a venture-backed entity positioned to build a business around it.

Growth would likely follow one of several concrete paths, each with identifiable catalysts.

Scenario	What happens	Catalyst	Why it's plausible
Public Sector Standard	Mobiliti becomes the mandated or de facto tool for federal and state transportation grants, embedding its software in the planning workflow for billions in infrastructure dollars.	A major public transit agency or metropolitan planning organization (MPO) adopts the platform for a high-profile project, creating a referenceable case study.	The software's origins in a leading public university transportation institute [UC Berkeley Institute of Transportation Studies, March 2024] lends inherent credibility with government buyers who prioritize defensible, academically-vetted methodologies.
Private Sector Consultancy Engine	The platform is white-labeled or embedded within the workflows of major engineering and consulting firms (e.g., AECOM, Jacobs), becoming the simulation engine behind their client proposals.	A strategic partnership with a top-tier infrastructure consultancy to co-develop a commercial offering.	The high-performance computing requirement and specialized knowledge to run such simulations creates a barrier that a SaaS platform can lower, making it an attractive capability-as-a-service for firms without deep in-house technical teams.

Compounding for Mobiliti Labs would manifest as a data and model sophistication flywheel. Each new city or region modeled would generate unique, high-fidelity datasets on travel patterns and network performance under various conditions. This proprietary data could be used to continuously refine and calibrate the underlying simulation models, improving their predictive accuracy. More accurate models would, in turn, deliver more reliable insights to customers, strengthening the value proposition and justifying expansion into adjacent use cases like emissions modeling or real estate impact studies. The initial evidence of this flywheel is not yet public, but the platform's architecture is designed for it; its ability to ingest diverse data sources to simulate "what-if" scenarios [Mobiliti Labs, retrieved 2025] is the necessary intake valve.

The size of the win can be framed by looking at the value of infrastructure planning and the software that enables it. While no direct public comparable exists, the broader computer-aided engineering (CAE) software market, which includes simulation tools for physical systems, is substantial. A leader in a niche segment, like transportation simulation, could command significant value if it captures a dominant market position. For context, established simulation software companies in adjacent engineering fields often trade at revenue multiples reflecting their mission-critical role and high customer retention. If the "Public Sector Standard" scenario plays out and Mobiliti Labs achieves a dominant position in a multi-billion dollar global infrastructure planning software segment, the company's value could reach a scale comparable to other specialized SaaS platforms serving government and engineering verticals (scenario, not a forecast). The scarcity of such a high-fidelity, large-scale simulation capability is what makes the opportunity singular.

Data Accuracy: YELLOW -- The core opportunity thesis is inferred from the capabilities of the licensed academic software and the stated market need. The growth scenarios are plausible extrapolations but lack public evidence of active commercial traction or partnerships.

Sources

PUBLIC

1. [Mobiliti Labs, retrieved 2025] Home | https://www.mobilitilabs.ai/

2. [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

3. [Institute of Transportation Studies, 2023 SB1 and RIMI Projects Funded] Mobiliti: A shift for Analyzing Traffic Congestion | https://its.berkeley.edu/research/projects/2023-sb1-and-rimi-projects-funded

4. [Smart Cities Research Center, Mobility Overview] Mobiliti: Scalable Transportation Simulation Using High-Performance Parallel Computing | https://smartcities.berkeley.edu/research/mobility

5. [MarketsandMarkets, 2024] Smart Cities Market | https://www.marketsandmarkets.com/Market-Reports/smart-cities-market-542.html

6. [Grand View Research, 2024] Traffic Management Systems Market | https://www.grandviewresearch.com/industry-analysis/traffic-management-system-market

7. [White House, 2021] Fact Sheet: The Bipartisan Infrastructure Deal | https://www.whitehouse.gov/briefing-room/statements-releases/2021/11/06/fact-sheet-the-bipartisan-infrastructure-deal/

8. [State of California] SB 375: Sustainable Communities and Climate Protection Act | https://www.ca.gov/archive/gov39/2012/09/30/news17631/index.html

9. [Bentley Systems, 2023] Bentley Systems Announces Acquisition of PTV Group | https://www.bentley.com/news/bentley-systems-announces-acquisition-of-ptv-group/