Asset Panda, a Frisco-based company specializing in asset management software, has introduced a new AI-driven feature designed to bridge the gap between the purchasing of enterprise software and its deployment. This fall, the company launched Asset Panda Pro, equipped with Ursa, an AI copilot intended to streamline the configuration process traditionally reliant on lengthy consultant engagements. Founder and CEO Rex Kurzius emphasized that the aim is to eliminate friction in enterprise software rollouts, allowing organizations to realize value more quickly.
Kurzius stated, “We challenge the outdated belief that deep customization must come with high costs, complex development, and long implementation times.” He believes that enterprise software should adapt to organizational workflows rather than the other way around, advocating for a faster, more user-friendly deployment process.
Since its inception in 2012, Asset Panda has grown without external funding, now serving over 4,000 organizations across more than 60 countries. The platform is currently used to track over 20 million assets, according to Kurzius. He has observed a recurring trend in asset management; organizations often begin tracking assets through simple spreadsheets, which can lead to complexity as they expand their operations. To address this, Asset Panda’s platform offers tracking capabilities for nearly 100 asset categories, ranging from industrial equipment to medical devices.
In the past year, customers executed approximately 2.7 million workflows on the platform, with more than 40,000 active users added in the second quarter of 2025 alone. Among the company’s clientele are major organizations such as Amazon, Toyota, Dyson, and Carnival, highlighting the platform’s utility across diverse global operations.
Ursa, as part of Asset Panda Pro, targets what Kurzius identified as the most significant bottleneck in asset management: configuration. This AI-driven assistant integrates directly into the platform, allowing users to manage tasks that would typically necessitate external consultants. Kurzius articulated the importance of keeping customer data secure by avoiding third-party AI plugins, a decision that aligns with the company’s commitment to user privacy.
Even in its nascent stages, Ursa is changing customer interactions with the platform. Users can leverage it for a variety of functions, including instant support, on-demand report generation, and effortless database configuration via natural language prompts. Ursa also facilitates real-time language translation for global teams while automating routine tasks like data import mapping.
Justin Lackey, the President of Asset Panda, noted that accelerating the setup process while maintaining the necessary enterprise checks and balances has been a key challenge. “What makes this different is the balance we’ve achieved: deep configurability with rapid time to test or go live,” Lackey said in a recent LinkedIn post. The company has ensured that prospective customers can still seek guidance from solution engineers and implementation teams throughout the process.
This philosophy extends to the trial process as well. Asset Panda has launched a streamlined experience that lets prospective users engage hands-on with the platform almost instantly. According to Kurzius, potential clients can generate a fully configured environment to test drive in just minutes using Ursa.
Kurzius’s entrepreneurial journey has been shaped significantly by personal experiences, including the early loss of his father. After overcoming financial hardships, he pursued education diligently and later founded several startups, with Asset Panda being his sixth. He keeps a symbolic $1 million check, written to himself during his time at university, as a reminder of the hurdles he has faced and the persistence required in entrepreneurship.
Looking ahead, Kurzius aims to deepen Asset Panda’s focus in specific verticals over the next 12 to 24 months, enhance AI capabilities, and explore voice-based interactions with Ursa. The company is also planning to expand its global marketplace presence and build new partnerships.
“Our goal is to establish Asset Panda as a single source of truth for asset-related intelligence,” Kurzius stated, highlighting an ambition that could redefine how organizations manage their assets in an increasingly complex technological landscape.
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