Mobiliti Labs

AI-powered HPC simulator for urban infrastructure what-if scenarios

Website: https://mobilitilabs.ai/

Cover Block

PUBLIC

The company's identity is anchored by its academic pedigree and a specific technical ambition. Mobiliti Labs is a pre-revenue, pre-seed entity, with its founder's institutional role providing the most concrete public signal of its origins.

Attribute Value
Name Mobiliti Labs
Tagline AI-powered HPC simulator for urban infrastructure what-if scenarios [Mobiliti Labs, 2025]
Stage Pre-Seed
Business Model SaaS
Industry Defense / Govtech
Technology AI / Machine Learning
Geography North America
Founding Team Academic Spinout
Founder Dr. Jane Macfarlane [ITS Berkeley]

Links

PUBLIC

This section provides direct links to the company's primary online presence. The LinkedIn page was identified through the research engine's standard enrichment process, confirming its existence and association with the company name.

Executive Summary

PUBLIC Mobiliti Labs is developing an AI-powered high-performance computing platform to simulate urban infrastructure changes, a proposition that merits attention for its direct application to multi-billion dollar public works and climate adaptation budgets. The company's core value is enabling city planners and government agencies to model the impact of new roads, bridges, or policy shifts before committing capital, aiming to reduce financial and social risk [Mobiliti Labs, 2025]. Its founding story is rooted in academic research, with founder Dr. Jane Macfarlane licensing the underlying simulation software from Lawrence Berkeley National Laboratory and UC Berkeley, where she directs the Smart Cities Research Center [ITS Berkeley]. The product differentiates through its claimed massive-scale spatial intelligence, using parallel discrete event simulation and AI for traffic forecasting to generate vehicle-level metrics, a technical approach distinct from simpler traffic modeling tools [ITS Berkeley].

Dr. Macfarlane's joint appointment at the university and national lab provides a strong foundation in transportation research and public-sector problem-solving, though the commercial go-to-market motion remains unproven. The company is in a pre-seed, pre-revenue phase with no public funding rounds or disclosed customers, operating a SaaS business model targeted at government and organizational buyers. Over the next 12-18 months, the key indicators to watch will be the closing of an initial institutional funding round, the announcement of paid pilot deployments with municipal or state agencies, and the evolution of the platform from a licensed research tool into a commercially supported product.

Data Accuracy: YELLOW -- Core product description and founder background confirmed by primary sources; funding, traction, and competitive details are not publicly available.

Taxonomy Snapshot

Axis Classification
Stage Pre-Seed
Business Model SaaS
Industry / Vertical Defense / Govtech
Technology Type AI / Machine Learning
Geography North America
Founding Team Academic Spinout

Company Overview

PUBLIC

Mobiliti Labs is an academic spinout whose founding story is anchored in a licensing agreement for core simulation software developed at the University of California, Berkeley, and Lawrence Berkeley National Laboratory. The company was formed to commercialize a research platform known as Mobiliti, which was created to analyze traffic congestion and urban mobility scenarios using high-performance computing [ITS Berkeley, Unknown] [Lawrence Berkeley National Laboratory, 2019].

The founder, Dr. Jane Macfarlane, holds a joint appointment at UC Berkeley and Lawrence Berkeley National Laboratory, where she serves as the Director of the Smart Cities and Sustainable Mobility Center [ITS Berkeley, LBNL]. Her role in leading the research that produced the underlying technology provides a direct link from the lab to the startup. The company's legal entity is identified as Mobility Labs, Inc. in its website terms of service [Mobiliti Labs, 2025].

Key milestones are limited to this pre-commercial phase. The primary public event is the licensing of the innovative infrastructure simulation software by Dr. Macfarlane and Mobiliti Labs from the research institutions [ITS Berkeley, Unknown]. The company's website, which carries a 2025 copyright notice, describes its mission and offers a waitlist for early access, indicating active development toward a market offering [Mobiliti Labs, 2025].

Data Accuracy: YELLOW -- Company website and institutional press releases provide corroborating details, but key dates (founding, licensing) are not specified.

Product and Technology

MIXED

Mobiliti Labs is building a simulation platform for urban infrastructure, a proposition that rests on the computational complexity of modeling entire city systems. The company's public description frames its core product as "a breakthrough platform designed to help cities, planners, and organizations simulate infrastructure changes in real time" [Mobiliti Labs, 2025]. This capability to test "what-if" scenarios, such as adding a bridge or altering traffic policy, is positioned as a tool for pre-build validation and risk reduction.

The technical foundation is licensed from academic research institutions, specifically Berkeley Lab and UC Berkeley [ITS Berkeley]. This licensed software is described as a massive-scale spatial intelligence simulator that employs Parallel Discrete Event Simulation (PDES), parallel traffic assignment algorithms, and AI/ML models for traffic forecasting [ITS Berkeley]. The output includes vehicle-level metrics, suggesting a high-fidelity, agent-based modeling approach rather than aggregate flow analysis. The platform's stated aim is to deliver these complex insights in "human speak," indicating a layer of visualization and reporting built atop the simulation engine [Mobiliti Labs, 2025].

Public details on the commercial product's specific features, user interface, or API access are not available. The website currently offers a waitlist for "Early Access," with intent options for pilot programs, partnerships, and investor interest [Mobiliti Labs, 2025]. This points to a product still in a pre-launch or early pilot phase, where the primary tangible asset is the exclusive license to the underlying HPC simulation technology developed in a national lab setting.

Data Accuracy: YELLOW -- Product claims are sourced from the company's website and a university press release; technical stack details are from the latter. No independent product reviews or user testimonials are available.

Market Research

PUBLIC

Urban infrastructure simulation has become a critical tool for governments facing the dual pressures of climate mandates and strained budgets, requiring evidence-based planning before committing to billion-dollar projects. The market for this type of software is nascent and not directly sized in public reports, but its value is anchored in the massive capital flows it aims to influence. The global smart cities market, a key adjacent category, was valued at approximately $1.1 trillion in 2024 and is projected to reach $3.5 trillion by 2030, growing at a compound annual rate of 18% [Grand View Research, 2024]. This growth is driven by urbanization, sustainability goals, and federal funding initiatives like the U.S. Infrastructure Investment and Jobs Act, which allocates hundreds of billions for transportation and resilience projects.

Key demand drivers are well-documented in policy and industry literature. Cities are under pressure to reduce congestion and emissions, goals that require modeling the second- and third-order effects of infrastructure changes. Simultaneously, the rise of new mobility modes, from e-scooters to autonomous vehicle pilots, introduces complex variables that legacy planning tools struggle to simulate at a granular level. These tools often rely on static models and aggregated data, creating a gap that high-performance, AI-driven simulation aims to fill by providing dynamic, vehicle-level forecasts.

Regulatory and macro forces are significant tailwinds. Beyond federal infrastructure spending, many municipalities and states have enacted climate action plans with specific targets for vehicle miles traveled reduction and equitable transportation access. These mandates create a compliance-driven need for predictive analytics. Furthermore, the insurance and reinsurance sectors' growing focus on climate risk modeling for physical assets presents a potential adjacent market for the underlying simulation technology, extending its applicability beyond public sector planning.

Given the absence of a dedicated market report for AI-powered HPC urban simulators, the following table positions the opportunity against analogous, larger markets that inform its potential scope and growth trajectory.

Market Segment 2024 Size (Estimated) 2030 Projection (Estimated) CAGR Key Driver Source
Global Smart Cities $1.1T $3.5T 18% Urbanization, IoT, sustainability mandates [Grand View Research, 2024]
Transportation Simulation Software $4.2B $8.9B 13.3% Need for traffic analysis, autonomous vehicle testing [MarketsandMarkets, 2023]
AI in Government $6.4B $25.3B 25.7% Efficiency, predictive service delivery [IDC, 2024]

The analyst takeaway is that while Mobiliti Labs operates in a niche without a clear TAM, its technology sits at the convergence of three high-growth, funded markets: smart cities, specialized simulation, and government AI. The primary risk is not market size but sales cycle length and the challenge of displacing entrenched, though less capable, planning methodologies.

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, third-party industry reports; the specific product category is not independently sized.

Competitive Landscape

MIXED

Mobiliti Labs enters a market where competition is defined more by methodology and customer access than by direct product overlap, positioning its high-fidelity, AI-driven simulation as a specialist tool for public sector infrastructure planning.

Given the absence of named competitors in the structured facts, a direct comparison table is not possible. The competitive analysis must proceed from the known landscape of urban planning and simulation tools.

  • Incumbent engineering and planning suites. The most direct substitutes are established software packages from firms like Bentley Systems (with its OpenRoads and CUBE suites) and PTV Group (PTV Visum). These are the standard tools for traffic modeling and regional planning, deeply embedded in public agency workflows. Their advantage is regulatory acceptance and decades of feature development. Their limitation is often computational scale and a focus on traditional, aggregate modeling rather than the agent-based, vehicle-level simulation Mobiliti proposes [ITS Berkeley, 2019].
  • Challenger analytics platforms. A newer wave of companies, such as StreetLight Data (acquired by Jacobs in 2023) and Replica (a spinout from Sidewalk Labs), offer data-driven urban analytics. They compete for the same budget and decision-making process, but their wedge is observational data (e.g., mobile device location pings) rather than predictive simulation. They answer "what is happening" rather than "what would happen if." This makes them complementary in theory but competitive for procurement dollars in practice.
  • Adjacent substitutes and internal builds. Many large municipalities and metropolitan planning organizations (MPOs) maintain in-house teams that build custom simulation models, often using open-source frameworks like MATSim or SUMO. This represents a significant competitive force, as it creates a high barrier to entry based on internal expertise and sunk cost. The value proposition must clearly outweigh the inertia of existing, bespoke solutions.

Mobiliti Labs's defensible edge today rests almost entirely on its licensed academic technology and the founder's domain authority. The core simulation engine, developed at Lawrence Berkeley National Laboratory and UC Berkeley, represents years of research into parallel discrete event simulation (PDES) for massive-scale urban systems [ITS Berkeley]. This is not a commercial wrapper on open-source tools; it is a purpose-built HPC platform. Founder Dr. Jane Macfarlane's role as Director of the Smart Cities Research Center provides immediate credibility with the academic and public sector research community, a critical early-adopter channel. This edge is durable only if the company can successfully productize the research and demonstrate clear operational advantages over both incumbents and internal builds. The technology itself is perishable if not continuously developed and if challenger platforms integrate similar simulation capabilities.

The company is most exposed on go-to-market and commercial integration. While the technology may be superior for certain high-fidelity scenarios, the sales motion into slow-moving, budget-constrained public agencies is notoriously difficult. Incumbents like Bentley have entrenched relationships with engineering consultancies and procurement offices. Furthermore, Mobiliti Labs has not disclosed any pilot customers or deployments, leaving its ability to navigate this sales cycle unproven. The adjacent data analytics players, like StreetLight Data, have already scaled by offering simpler, SaaS-delivered insights that require less technical expertise from the end-user, potentially capturing the budget before a complex simulation tool is even considered.

The most plausible 18-month competitive scenario hinges on early lighthouse deployments. If Mobiliti Labs can secure a paid pilot with a major city or state DOT to model a specific, high-stakes infrastructure project (e.g., a new transit corridor or congestion pricing scheme), it could validate both the technical performance and the business model. The winner in this scenario would be the specialist simulation provider that proves its outputs lead to better, faster, or cheaper decisions than the status quo. The loser would be any player that remains in stealth or fails to transition from academic validation to commercial validation. Without demonstrated traction, the risk is that the market perceives the technology as a research project rather than a must-have operational tool.

Data Accuracy: YELLOW -- Competitive mapping is inferred from the broader market landscape as no direct competitors are named in sources. The description of incumbent and challenger categories is based on standard industry knowledge.

Opportunity

PUBLIC If Mobiliti Labs successfully commercializes its licensed HPC simulation technology, the prize is a foundational role in the multi-billion dollar modernization of urban infrastructure planning, a sector historically slow to adopt advanced analytics.

The headline opportunity for Mobiliti Labs is to become the default simulation engine for municipal and state infrastructure planning in North America. The core technology, developed and validated at Lawrence Berkeley National Laboratory and UC Berkeley, is not an incremental improvement but a methodological shift. It uses Parallel Discrete Event Simulation (PDES) and AI to model traffic and infrastructure changes at a vehicle-by-vehicle level, a capability described by the lab as "a shift for analyzing traffic congestion" [Lawrence Berkeley National Laboratory, 2019]. This positions the company to move beyond static traffic models and become the go-to platform for dynamic, real-time "what-if" analysis before billions in capital are committed to projects. The outcome is reachable because the foundational IP is already proven in a research context, and the founder, Dr. Jane Macfarlane, is the director of the very research center that created it, providing a direct conduit from lab to market [ITS Berkeley, Unknown].

Growth will likely follow one of several concrete paths, each with a distinct catalyst.

Scenario What happens Catalyst Why it's plausible
Federal Standard-Bearer Mobiliti's platform is adopted as a recommended or required tool for evaluating projects seeking federal infrastructure grants (e.g., from the USDOT). Inclusion in a Federal Highway Administration or Department of Transportation toolset or pilot program. The technology originated at a DOE national lab, a trusted source for federal agencies. The 2019 LBNL article frames the tool as guiding "safer, more equitable traffic management strategies," aligning directly with federal policy goals [Lawrence Berkeley National Laboratory, 2019].
Land-and-Expand in Megaregions The company secures a flagship contract with a major metropolitan planning organization (MPO), such as the San Francisco Bay Area's MTC or the Southern California Association of Governments, and expands to adjacent use cases like emissions modeling and equity analysis. A successful paid pilot with a Tier-1 city or regional planning body. The company's stated mission is to empower "cities, agencies, and organizations" [Mobiliti Labs, 2025]. The founder's deep roots in California's premier transportation research institute provides natural early-access channels to these exact entities.

The compounding advantage for Mobiliti Labs is a data and credibility flywheel. Each new municipal deployment generates highly detailed, locality-specific traffic and behavioral data. This proprietary dataset can be used to further train and refine the platform's AI forecasting models, making the simulation more accurate and valuable for that city and for neighboring regions with similar profiles. Furthermore, a successful deployment with a prominent city or agency serves as a powerful reference case, reducing the technical and procurement risk for the next customer. Early evidence of this flywheel is not yet public, but the architecture of the platform,generating vehicle-level metrics,is designed to capture the granular data required for it to spin [ITS Berkeley, Unknown].

Quantifying the size of the win requires looking at comparable infrastructure software providers. While direct public peers are scarce, companies like Bentley Systems (NASDAQ: BSY), which provides software for infrastructure engineering, trade at significant multiples for what is often CAD and BIM software. The opportunity for Mobiliti is to capture a slice of the higher-value, decision-support layer above pure design. A more focused comparable might be the acquisition of traffic data company INRIX by private equity, or the valuation of simulation-focused firms like Ansys (NASDAQ: ANSS) in engineering. If the "Federal Standard-Bearer" scenario plays out, embedding the platform into the workflow for a portion of the $1.2 trillion federal Infrastructure Investment and Jobs Act, the company could anchor itself as a critical piece of public-sector tech infrastructure. In that scenario, a strategic acquisition by a larger AEC (Architecture, Engineering, and Construction) software player or government contractor at a premium multiple is a plausible exit outcome, representing a win measured in the hundreds of millions to low billions (scenario, not a forecast).

Data Accuracy: YELLOW -- Core technology and founder background are well-documented by primary institutional sources (LBNL, UC Berkeley). Growth scenarios and market comps are analyst extrapolations from this foundation, as commercial traction and financials are not public.

Sources

PUBLIC

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

  2. [Mobiliti Labs, 2025] About Us | https://www.mobilitilabs.ai/about-us

  3. [Mobiliti Labs, 2025] Home | https://www.mobilitilabs.ai/home

  4. [Mobiliti Labs, 2025] Terms & Conditions | https://www.mobilitilabs.ai/terms-and-conditions

  5. [ITS Berkeley] Macfarlane, Mobiliti Labs License Innovative Software | https://its.berkeley.edu/news/macfarlane-mobiliti-labs-license-innovative-software

  6. [ITS Berkeley, Unknown] Mobiliti,A New Tool to Guide Safer, More Equitable Traffic Management Strategies | https://its.berkeley.edu/publications/mobiliti,a-new-tool-guide-safer-more-equitable-traffic-management-strategies

  7. [Lawrence Berkeley National Laboratory, 2019] Mobiliti: A shift for Analyzing Traffic Congestion | https://crd.lbl.gov/news-and-publications/news/2019/mobiliti-a-shift-for-analyzing-traffic-congestion/

  8. [Grand View Research, 2024] Smart Cities Market Size Report | https://www.grandviewresearch.com/industry-analysis/smart-cities-market

  9. [MarketsandMarkets, 2023] Transportation Simulation Software Market | https://www.marketsandmarkets.com/Market-Reports/transportation-simulation-software-market-203565196.html

  10. [IDC, 2024] Worldwide Artificial Intelligence in Government Spending Guide | https://www.idc.com/getdoc.jsp?containerId=IDC_P33173

Articles about Mobiliti Labs

View on Startuply.vc