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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Qualio
Qualio is a purpose-built quality and compliance platform for life sciences companies operating in complex, high-stakes regulatory environments. Medical device, SaMD, biotech, and pharma teams use Qualio to replace fragmented eQMS tools, spreadsheets, and consultant-driven audits with a single, validated system that delivers continuous audit and inspection readiness.
Qualio combines a modern eQMS with Compliance Intelligence—an AI-driven layer that continuously evaluates how well real operating data aligns with regulatory requirements. Instead of treating audits as one-off events, teams gain always-on visibility into compliance coverage, risk exposure, and readiness across FDA, ISO, EU MDR, GxP, and software-intensive standards.
Core quality workflows—document control, training, CAPA, change management, supplier quality, and design controls—are directly connected to regulatory obligations and objective evidence. Deep integrations with Jira, Azure DevOps, GitHub, TestRail, and Salesforce automatically capture proof from development and operational systems, eliminating manual evidence gathering and reducing compliance drag on engineering teams.
Compliance Intelligence runs multi-standard gap analysis in under an hour, flags emerging risks before they become findings or 483s, and maps reusable evidence across frameworks to accelerate submissions and market expansion. All insights are explainable and traceable back to specific clauses and internal policies, supporting validation and audit expectations.
The result: audit readiness in weeks instead of months, fewer fire drills, faster launches, and lower long-term compliance cost. Qualio turns compliance from a reactive burden into a predictable, scalable system.
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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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TWAICE
Our advanced battery analytics platform delivers state-of-the-art solutions for monitoring, analyzing, and optimizing battery performance. By utilizing a variety of machine learning techniques and battery-specific algorithms, we ensure accurate results across diverse scenarios. The platform features an API that allows for seamless integration with third-party applications, such as fleet management systems. Instead of relying on guesswork, laboratory experiments, and cumbersome manual data management, users can conduct virtual testing and enjoy automated handling of lab data. The model library enables users to effectively test battery cells in a virtual environment, further enhancing the development process. Our data management software solutions also facilitate the efficient organization of lab data, allowing for better decision-making. By utilizing field data analytics, you can optimize your development efforts. The TWAICE battery model library grants access to a wide array of high-fidelity electrical, thermal, and aging models of the latest lithium-ion battery cells available on the market today, ensuring that you have the most accurate and up-to-date resources for your projects. This comprehensive approach not only streamlines the research and development process but also significantly accelerates innovation in battery technology.
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