Vehicle Acquisition Network (VAN)
Vehicle Acquisition Network (VAN) is an automotive software platform built to help car dealerships acquire high-quality used vehicles directly from private sellers—without relying on auctions. As wholesale prices rise and vehicle availability tightens, VAN empowers dealers with tools to source inventory faster, more profitably, and with greater control.
VAN aggregates local FSBO (for-sale-by-owner) listings, applies real-time market data to assess profitability, and automates communication with sellers at scale. Buyers can manage leads, track seller conversations, and streamline acquisition workflows through an intuitive CRM-style dashboard designed specifically for dealership teams.
For dealers who don’t have dedicated acquisition staff, VAN offers a Managed Buyer program, pairing stores with expert buyers who actively source, engage, and negotiate with private sellers on their behalf—saving time and boosting acquisition volume without internal hiring.
VAN is trusted by hundreds of dealerships across North America—from independent rooftops to franchise groups—looking to beat Carvana and CarMax at their own game. It's the smarter way to buy cars.
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Motive
Motive develops technology to improve the safety and profitability of businesses who power the physical economy. The Motive Automated Operation Platform combines IoT Hardware with AI-powered Applications to automate vehicle tracking, driver safety and compliance, maintenance, spending management, and much more. Motive serves over 120,000 businesses in industries such as trucking and logistics. Construction, oil and gas. Food and beverage. Field service. Agriculture. Reduce risk on the road with the most accurate AI in the industry. 360-degree visibility and AI that detects risk 4x more accurately than competitors will protect your drivers. With 360-degree visibility, you can save time and money by reducing costs. Improve efficiency by gaining deep insights into vehicle location, health, and usage.
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NerveCenter
Power outages from primary utility sources do happen, frequently due to inadequate infrastructure or adverse weather conditions. As networks become increasingly expansive, intricate, and essential, dependable backup power from uninterruptible power supply (UPS) systems is vital for maintaining continuous network operations. Moreover, it's important to note that UPS batteries can start losing their capacity within just three years. Although manufacturers may promote their batteries with a projected lifespan of ten years, various external elements can lead to a decline in performance and a reduction in overall battery longevity. Factors such as internal cell resistance, often influenced by temperature, play a crucial role in assessing battery health by pinpointing low-capacity cells. Additionally, monitoring inter-cell resistance ensures the integrity of the conduction path between cells, which helps prevent issues like hot spots, fires, and sudden system shutdowns through effective temperature management. By maintaining a well-monitored UPS battery system, not only can the lifespan of the batteries be extended, but the energy needed for charging can also be reduced, resulting in less preventive maintenance. Ultimately, enhancing monitoring practices can significantly improve system uptime and mitigate the risks associated with UPS failures, capacity limitations, and depleted battery power, ensuring a more resilient network environment.
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Eatron
Eatron's Intelligent Software Layer (ISL) represents an innovative approach aimed at maximizing the capabilities of batteries by improving their performance, increasing their longevity, and prioritizing safety. By utilizing our unique algorithms, we achieve remarkable State of Charge (SoC) accuracy of ±1%, which is significantly better than the industry standard of ±3%, while also ensuring a State of Health (SoH) accuracy of ±2% across the battery's lifespan, compared to the typical ±5%. This level of precision enables the extraction of optimal performance from batteries without sacrificing safety measures. Our patented method for forecasting Remaining Useful Life (RUL) integrates a comprehensive knowledge of battery chemistries with cutting-edge machine learning and AI technologies, facilitating real-time life predictions based on actual usage patterns. Continuous monitoring of battery health allows us to respond to changes within the pack, potentially prolonging operational life by as much as 25%. Furthermore, safety remains a top priority; our AI diagnostic tools can foresee cell failures weeks in advance with an impressive accuracy rate of 90%, ensuring reliable operation and peace of mind for users. This holistic approach not only enhances battery efficiency but also sets a new standard in the field of battery management technology.
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