Specialized Solution for Commercial Autonomy

Autonomous technologies require a tech-enabled approach to risk management. We are here to deliver it.

Our Value Proposition


  • Software making decisions
  • Significantly higher asset utilization
  • Enormous volume of data produced


  • Tools for a digital insurance experience
  • Efficient data sharing and new applications
  • Autonomy know-how and insurance expertise


  • Relevant coverage for individual use cases
  • Optimal policy limits and conditions
  • Competitive cost based on data and insights

Our combination of insurance brokerage, digital tools, and data sharing enables us to iterate quickly to address evolving client risks and needs.

Our Clients

Autonomous technologies require a tech-enabled approach to risk management.

By Use Case

  • Robotaxi

    Companies developing and deploying autonomous vehicle software for passenger taxi services.

  • Trucking

    Developers and fleet owner-operators of full stack and retrofit kits for long-haul trucks in cargo transportation.

  • Delivery

    Fleet operators and software/hardware developers of last-mile delivery robots and supporting services.

  • Shuttles

    Automated transit developers, operators, and managers serving municipalities across different locations.

  • Construction

    Autonomous construction equipment such as bulldozers, tractors, excavators, CTLs, and other automated construction machinery used across different construction sites.

  • Mining

    Autonomous mining applications such as haulage, dozing, blasting, loading, spotting, watercarts, and light vehicles.

  • Agriculture

    Developers and owner-operators of autonomous farm equipment such as tractors, harvesters, and unmanned aerial vehicles for harvesting, inspection, spraying, and more.

  • Warehousing

    Autonomous mobility robots, guided robots, drones, manipulation systems, and sortation robots that optimize goods movement and storage inside warehouses.

  • Logistics

    Middle-mile and yard solutions powered by automated transportation and cargo management technologies.

  • Industrials

    Independent and collaborative robotics such as AMRs for industrial automation at any scale.

  • Aerial & Drones

    Developers and operators of unmanned and fully autonomous drones and aerial vehicles used for delivery, cargo transportation, inspections, and other commercial purposes.

  • Marine

    Various commercial operations such as cargo transportation with autonomous vessels and other types of maritime autonomous surface ships.

By Type

  • Developers

    Companies developing self-driving software for different use cases that integrate their AV stacks with base vehicle manufacturers (OEMs) and produce their own proprietary hardware.

  • Fleet Owner-Operators

    Companies that own or operate autonomy fleets such as trucks, robotaxis, drones, shuttles, and more where safety and efficiency are critical to their day-to-day operations of transporting passengers and cargo. The fleet owner-operator model is expected to be the dominant model for most (if not all) of the autonomy use cases.

  • Manufacturers & Vendors

    Suppliers of base vehicles (OEMs), sensors, or other hardware or software required for autonomy. In hardware, manufacturers supply vehicles that get retrofitted with sensors and redundancies necessary for autonomous deployment and operations. Some manufacturers integrate AV hardware at the point of assembly. In software, vendors supply products for simulation, machine learning, and more.

  • Service Provider

    Network providers, teleoperations, fleet managers, repair shops, maintenance companies, safety assessors, and others are an important part of the autonomous technology ecosystem. Each service provider can have operations-critical functions that can fail and lead to business interruption resulting in considerable losses. Protection from service provider mistakes is essential to ensure smooth autonomy operations.

By Stage

  • Research & Development

    From early-stage ventures to well-funded enterprises, we work across the whole spectrum of R&D clients in autonomy and robotics space. These companies need to protect their assets from third-party liability, damages, cyberattacks, and intellectual property theft while also protecting their employees from workplace injuries, especially in industrial robotics development and testing. These organizations fall under a variety of industry verticals and are usually on the software/hardware development and deployment side.

  • Pilot Programs

    Developers and operators performing limited trials in controlled environments to test their technology for its intended use. Different scales of pilot programs require different protection levels. Some pilots have simpler operating domains such as warehouses while other programs run on public streets with human passengers. Deployments without proper risk management practices can lead to accidents, resulting in general liability and property damage that deter technology testing and subsequent rollouts.

  • Commercialization

    With sufficiently proven technology and necessary permissions, developers turn into operators and open their intended service to private customers or public users. At this stage, companies start generating real-world performance and safety data that gives a more in-depth view into risks than simulation and pilot testing. The highest level of protection is recommended at this stage to minimize third-party liability, vehicle damage, or business interruption as clients continue commercializing autonomy.

  • Scaling

    Scale happens when companies start experiencing rapid adoption of autonomous technologies and robotics across their use cases. With increased utilization, exposure goes up compared to traditional vehicles. Outstanding risk mitigation protocols must be in place to protect developers, owner-operators, and service providers alike.

By Area of Risk

  • Public Liability

    Third-party liability arises from autonomous deployments with passengers or cargo on public roads in cities or highways. Autonomous technologies can be involved in at-fault or no-fault accidents due to software issues, hardware malfunctions, or operating domain circumstances. Protecting developers and operators from liability is a top priority for a safe rollout of autonomy.

  • Passenger or Safety Driver Injuries

    While autonomy ultimately requires low to no human intervention, passengers and safety drivers are risk exposures for operators and developers. A sudden vehicle maneuver due to misperception might result in a passenger or safety driver's bodily injury, leading to medical consequences. At scale, this could be a significant exposure item that would require thorough coverage.

  • Operations Interruption

    Any use case at any stage is prone to unforeseen events, resulting in lost development time, force-stopped pilots, and missed revenue. Prolonged business interruptions could result in permanent damage to engineering and deployment plans. Fleet owner-operators as well as developers must accept this uncertainty with due protection and risk management practices.

  • Sensor Damage

    Any autonomous operation relies on sensory data for perception, prediction, and motion planning. Even minor damage to sensor equipment can lead to undesired outcomes. Protecting such a mission-critical piece of hardware is very important in autonomy.

  • Base Vehicle Damage

    Risk exposure grows as owner-operators start adopting autonomy across different use cases. With exposure, vehicles might get into different kinds of accidents. Covering vehicles equipped with costly sensors, redundancies, and computing units can help operators avoid substantial financial losses.

  • Cargo Theft or Damage

    Though autonomous vehicles can "see" everything happening around them and assure safety and transparency of operations, they are not excluded from cargo theft performed by sophisticated groups or cargo damage due to unfavorable operating domain conditions. To mitigate this risk, it is in the fleet owner-operators' best interest to ensure the transported goods' safety, whether it is in trucking, delivery, aerial, or marine.

  • Hardware Malfunctions

    Even when base vehicle and equipment manufacturers follow the most rigorous quality assurance policies, mistakes can still happen. Manufacturing defects can lead to malfunctions, resulting in public liability or property damage. Product liability can be tailored to a specific autonomy use case to address any risk issues beyond hardware warranty.

  • Design Defects

    As new vehicles optimized for driverless functions get rolled out, the vehicles themselves will become a source of both safety and risk instead of human drivers. Developers that manufacture their own autonomous vehicles are exposed to design defects for new vehicles, especially if the rollout happens at scale. Such risk can result not only in costly recalls but also in third-party liability claims.

  • Software Developer Errors

    Software makes critical decisions in autonomous technologies. And even though humans are no longer behind the wheel, they are still behind the code that makes vehicles drive autonomously. While accidents involving autonomy could be attributed to operating domain circumstances or hardware issues, software may be required to handle such issues, so acquiring protection from software deficiencies could help developers and their operators to do their job with peace of mind.

  • Cybersecurity Issues

    Autonomy has heightened cyberattack risks as it is connected and software-defined. With commercial operations starting to scale, rogue actors might view different autonomy use cases as an attractive target. All types of companies should be protected from cyber risks that could potentially be catastrophic for autonomous operations.

  • Loss of Data

    Data enables autonomy development, testing, and validation. Losing valuable datasets due to developer errors, cybersecurity issues, or business interruptions could set companies back from reaching their desired goals. In addition to internal data security practices, it is valuable to protect your data assets from internal mishaps or external interferences.

  • Catastrophic Events

    Autonomous and robotics technologies are exposed to the same catastrophic events as other businesses, such as natural disasters. However, with a total dependency on software, connectivity, and data, large and aggressive cyberattacks could result in massive losses due to third-party liability and property damage. As the scale materializes, cyber catastrophes might exacerbate, meaning more protection will be needed.

An Integrated Policy Approach

We provide integrated insurance policies that combine relevant use case coverages for our autonomy and robotics clients and protect them against any areas of risk.

Use Case

Passenger Liability Motor Truck Cargo & Goods UAV Liability
. . .


Product Liability Tech Errors & Omissions Cyber Data & IP Inland Marine
. . .


Commercial General Liability Directors & Officers Workers' Compensation
. . .

Our Insurance Partners

We have access to leading insurance companies that are globally active in new mobility.

We have access to leading insurance companies that are globally active in new mobility, robotics, and emerging technologies, including Lloyd's of London syndicates. Across admitted and non-admitted markets, our company has a wide selection of insurance products that can fit any risk profile. With strong partners, forward-looking clients, new data sources, and state-of-the-art technology, we are uniquely positioned to build new insurance products and risk management solutions for our clients.

Our Expertise

Our team has the skills and experience across different industries to develop new products, solve complex problems, and address various client needs in meaningful ways. We take pride in our risk management expertise, engineering rigor, and ability to listen closely to what our clients and partners need. As entrepreneurs, we always embrace innovation.