GenLogs Secures $60 Million in Series B Funding to Scale Freight Intelligence

GenLogs, a freight intelligence startup built to bring unprecedented visibility to the trucking industry, has closed a $60 million Series B funding round led by Battery Ventures, with participation from IVP, Cathay Innovation, 9Yards and returning backers including Venrock, Steel Atlas, HOF Capital, TitletownTech and Autotech Ventures. This new infusion follows earlier seed and Series A investments totaling $21 million and marks a substantive step for the company’s expansion across commercial, insurance and government markets.

The capital will accelerate development of GenLogs’ Truck Intelligence™ platform—a combination of a nationwide roadside sensor network and advanced artificial intelligence designed to create a ground-truth dataset of truck movements and carrier activity. It will also support broader adoption of its technology by shippers, insurers, financial institutions and public agencies.

From Intelligence Roots to Commercial Scale

GenLogs was founded in 2023 by former U.S. intelligence community professionals looking to apply analytical rigor and pattern detection methods to one of the most opaque segments of the U.S. economy. Despite moving more than 70 % of freight by volume, the trucking sector has historically lacked comprehensive, real-time insight into which carriers are operating, where trucks actually travel and whether those carriers are legitimate. The fragmentation of the industry—millions of vehicles and hundreds of thousands of carriers—makes it difficult for brokers, shippers and insurers to make informed decisions about capacity, risk and compliance.

The Truck Intelligence™ platform taps into trillions of data points collected from millions of roadside cameras and sensors, augmented with satellite and third-party data, and applies proprietary AI to extract patterns that matter for users. This includes identifying carriers by USDOT or MC numbers, tracking real-time vehicle movements and flagging mismatches between a carrier’s digital footprint and its physical behavior on the road.

Current customers span Fortune 500 logistics firms, large motor carriers, insurers and port authorities. Among them are industry names such as J.B. Hunt and Werner Enterprises, as well as international insurers and municipal agencies. The breadth of use cases ranges from improving carrier sourcing and underwriting accuracy to supporting enforcement actions and cargo recovery efforts.

Tackling Fraud, Safety and Asset Recovery with Data

What sets GenLogs apart from traditional supply chain software is its emphasis on empirical, observed behavior. Rather than relying solely on self-reported data or intermittent inspections, the platform continuously monitors the commercial vehicle landscape and highlights deviations that may indicate fraud, identity misuse or potential risk. Brokers, for example, can use the platform to vet carriers before tendering loads, while insurers gain a clearer picture of operational risk and compliance.

Beyond commercial applications, GenLogs has drawn attention for its role in supporting law enforcement agencies. With its sensor and data infrastructure, the company has assisted in investigations involving human trafficking, cargo theft and narcotics smuggling. In one reported case, state authorities were able to track a vehicle engaged in interstate trafficking and secure the safe recovery of a minor. In another, federal agents leveraged the platform to dismantle a drug smuggling network, leading to multiple arrests. These use cases underscore how observational freight data can intersect with public safety and criminal investigations.

“This isn’t just about efficiency,” Ryan Joyce, GenLogs’ CEO and co-founder, has said. “It’s about bringing visibility and accountability to an industry that has been effectively blind to much of its own activity.”

What This Means for the Future of Supply Chain Technology

The implications of GenLogs’ technology extend well beyond today’s markets. In an era where supply chains are under constant stress—from labor shortages and geopolitical shifts to climate-driven disruptions—the ability to observe real-time movement offers a new foundation for resilience. Traditional systems of freight management have largely operated on lagging indicators and fragmented data sources, which can obscure critical signals until after problems surface. Platforms like GenLogs aim to change that by creating a continuous, empirical view of freight movement that can feed predictive models, automate compliance checks and bolster risk management in ways previously infeasible.

Insurance carriers, for example, might soon price risk based not on aggregated claims history but on live carrier behavior and historical movement patterns. Shippers could automate carrier selection and contract pricing with greater precision, reducing reliance on load boards and lowering empty miles. Public agencies could use aggregated truck movement insights for infrastructure maintenance planning, congestion management and safety interventions.

At a macro level, this kind of visibility could also enable more efficient matching of supply and demand across the trucking ecosystem, potentially reducing deadhead miles, lowering emissions and enhancing the sustainability of freight operations.