Azuga Strengthens Services with Mobikit Acquisition
Azuga now enters the insurance tech space thanks to its acquisition of Mobikit, gaining them a new SaaS platform that comes with data harmonization.

Mobikit’s data engineering and analytics technology will integrate with Azuga’s driver performance data for an enhanced fleet telematics solution.
Photo: Unsplash
Azuga announced they have extended their investment in the insurtech space by combining forces with Mobikit, an insurance data science and analytics company based in Columbus, Ohio. The acquisition delivers a new SaaS platform to accelerate the benefits and insights telematics, AI, video, and vehicle data offers carriers, MGAs, brokers, and other insurance providers.
Insurance companies spend millions of dollars annually processing claims and writing policies to automotive fleets, Azuga wrote in a March press release. Reducing the number of claims received would lower the cost of doing business. In part, the ability to reduce the number of claims depends on an insurance company’s ability to accurately assess the risk of the fleets they insure. Making a correct assessment depends on the ability of the insurance company to track data such as how fast fleet drivers are traveling, braking, accelerating, and more. Historically, data exchanges have not solved these challenges, but Azuga and Mobikit will now be able to provide a multi-end point platform with data harmonization that resolves gaps in the exchange model.
While Azuga’s fleet telematics solution captures this data already, Mobikit’s data engineering and analytics technology expands Azuga’s data set further by seamlessly integrating Azuga’s driver performance data with Mobikit’s machine learning algorithm to provide insurance carriers with insights not before available. Insurance carriers can improve their commercial auto telematics programs with little to no technical investment and enable insurers to onboard fleets at a pace that works for them. With this platform, insurance providers are in control by integrating data from disparate data sources, including fleet telematics providers and automotive OEM telematics data feeds. This enables automated workflows that provide immediate value across loss control, claims, underwriting, brokers, agents, and MGAs.
“Azuga is delivering consistent reduction in loss ratios for our commercial insurance customers,” said Ananth Rani, CEO of Azuga. “By providing enhanced data analysis capabilities and harmonizing data from disparate data sources, insurance carriers can identify even more opportunities for reducing risk and pricing premiums more effectively. Our mutual customers are using Mobikit already and believe the team and technology can dramatically improve our data analytics solutions to continue to deliver insurtech at scale”
More Telematics

Why Fleets Are Creating Dedicated Fleet Analyst Positions
Telematics, AI, EVs, and connected technologies are generating more fleet data than traditional teams can effectively manage. Reed Jackson explains why dedicated fleet analytics roles are emerging to turn that information into better operational decisions.
Read More →
Deleting Driver Data Is No Longer Enough in Connected Vehicles
A factory reset may erase what's stored inside a vehicle, but it doesn't always end a former driver's digital connection. Here's how fleets can make digital offboarding part of every vehicle transition to reduce privacy, security, and compliance risks.
Read More →
How AI Can Help Fleet Managers Build Their Own Solutions
Syneos Health Fleet Manager Kristin Leary is exploring how AI-powered development tools, telematics data, and predictive analytics could help fleets solve operational challenges without waiting for a vendor roadmap.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-Time Prevention (Part 2 of 2)
Part Two: Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Continue learning more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab
Read More →
100% Fleet Uptime? Here's Stellantis' Strategy
Keeping commercial vehicles on the road is becoming just as important as getting them into service. Stellantis’ U.S. fleet chief Michael Ferreira shares how connected technology and AI are changing the way fleets manage uptime.
Read More →
Waymo vs. Tesla Robotaxi: Side-by-Side Ride-Hailing Test Highlights Different Approaches to Autonomy
Video comparison in Austin contrasts traditional Uber service with autonomous offerings from Waymo and Tesla Robotaxi.
Read More →
Paying for a Fire Hose, Drinking from a Garden Hose: Getting the Full Value of Your Telematics
Why fleets struggle to turn telematics data into real-world results and how to fix it.
Read More →
Building Smarter Cybersecurity Policies for Fleet Operations
As fleet operations become increasingly connected, cybersecurity can no longer be treated as an IT issue alone. Building effective policies requires a proactive approach that protects vehicles, data, and operational systems while ensuring employees, vendors, and technology partners follow consistent security standards.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
