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FinOpslyAsk a CFO what the company spent on AI last quarter and you will get a number. Ask which product line it belonged to, whether anyone approved it, or what it earned, and the room goes quiet. FinOpsly was built for that second set of questions. It is an AI Cost Governance platform. AI does not run in isolation, so FinOpsly does not price it in isolation either. A model call pulls warehouse queries, GPU time and storage behind it, and the engineers building the feature are burning licensed seats the whole time. All of that lands in one cost model, mapped to the company's own structure: owner, team, product, business unit, customer. What teams use it for: Pricing a workload before anyone provisions anything. Describe the architecture, get a cost estimate across the stack, and see which assumptions drove it. Compare model options using consumption you have already paid for. Making chargeback something finance trusts. Hierarchies run nine levels or deeper. Tags get standardized across providers that never agreed on a convention. API keys and resources are labeled in bulk from instructions written in ordinary English. Anything still unowned shows up as a dollar figure. Holding the line during the month. Budgets by team, project or key. Anomalies flagged with a root cause and sent to the person responsible. Waste that provider consoles do not catch, found by FinOpsly's own detection models. Idle compute parked on schedules the customer approved, and reversible. Proving the outcome. One chargeback run covering AI, cloud, data and SaaS together. Savings measured against the base-line along with cost-to-serve metrics: cost per active user, per customer served. Customers have moved attributable spend from 68% to 99% inside 90 days and taken a chargeback cycle from 12.4 days down to under one. Built for CIOs, CTOs, FinOps practitioners and the finance teams who sign off on the bill.
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AdversusAdversus is an innovative outbound calling solution designed to enhance your calling strategies and automate tedious manual tasks, while also offering insightful data to refine your outbound operations. Established in 2015 by a group of founders who were dissatisfied with the inflexibility of existing solutions, our mission was to revolutionize the outbound calling landscape. We deliver a highly customizable solution that empowers users to tailor every facet of their workflow according to their specific needs. The core objective of Adversus is to create a robust, future-ready platform that consistently meets the evolving demands of the market. Our ambition extends beyond mere adaptation; we aim to redefine the limits of what can be achieved in outbound calling. Adversus has been adopted by businesses across various sectors, significantly enhancing their outbound calling effectiveness, and we provide options suitable for organizations of all sizes, ensuring that everyone can benefit from our cutting-edge features. Additionally, our commitment to continuous improvement ensures that as the industry evolves, so does our solution, keeping our clients at the forefront of outbound communication.
What is DataLube?
We appreciate your visit to the DataLube website, where we are excited to showcase our cutting-edge software solutions. DataLube is recognized as the most flexible and cost-effective, Windows-compatible, fully integrated point-of-sale (POS) software specifically designed for the Auto Care Industry, which means you won't need any specialized hardware. Originally designed for Quick Lube and Oil Change businesses, DataLube has successfully developed and adapted because of its strong, versatile, and intuitive design. We make it a priority to heed the voices of our customers and those who share their aspirations, especially when they express thoughts like “I wish I could …” or “why do I have to …”. With nearly three decades of experience in the field, we have continually delivered effective answers to these challenges. Our goal is to earn your trust and become an integral part of your team; however, we also understand that every business has unique needs. Therefore, we take it upon ourselves to clearly articulate the benefits of our product and how we can be of service to you. Our commitment lies in ensuring that our solutions are perfectly tailored to meet your distinct requirements while providing exceptional support throughout your experience with us.
What is Auto Data?
Driverse LLC has introduced PosiLube, an innovative point-of-sale system specifically crafted for quick lube enterprises. Featuring an intuitive interface that combines all essential functions onto a single screen, it includes dropdown menus for effortless transaction processing, minimizing the requirement for extensive training. Notable features encompass a visual dashboard for preventive maintenance, detailed illustrations of engines and chassis, capabilities for oil light resets, accurate data collection, VIN decoding, fleet management, thermal static stickers, customer data sharing, and an integrated time clock. Furthermore, the system is complemented by the AutoGreet tablet application, which simplifies customer retrieval through VIN barcode scanning, license plate recognition, or name searches, while providing immediate access to work orders, vehicle histories, and maintenance schedules on the device. Inventory management is significantly optimized through real-time oversight and smart automatic parts reordering that aligns with actual sales trends, guaranteeing that businesses stay well-stocked with essential items. This all-encompassing system not only streamlines operational processes but also enhances customer service efficiency, ultimately contributing to improved business performance and customer satisfaction. By adopting PosiLube, quick lube businesses can ensure they remain competitive in a fast-paced market.
Integrations Supported
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
Windows
Supported Platforms
Windows
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Online Training
Training Options
Documentation Hub
On-Site Training
Company Facts
Organization Name
DataLube Systems
Date Founded
1986
Company Location
United States
Company Website
datalube.net
Company Facts
Organization Name
Driverse
Date Founded
2006
Company Location
United States
Company Website
www.driverse.com/auto-data/
Categories and Features
Auto Repair
Not specified
Categories and Features
Auto Repair
Not specified