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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.
What is DSE Monitoring?
DSE Monitoring represents an innovative solution for managing energy and utility operations, giving organizations a thorough overview and authority over multiple resources such as electricity, water, gas, heat, air, temperature, and environmental conditions through the use of advanced sensors and specialized software that aggregates all major consumption statistics into one platform. By delivering precise, real-time information, this system allows companies to uncover persistent inefficiencies, minimize waste, enhance resource utilization, and achieve significant cost savings often within the initial month of implementation, while simultaneously strengthening sustainability initiatives and aiding ESG reporting with detailed energy performance records. The technology relies on secure, wireless LoRa connectivity, enabling quick installation that does not require existing network infrastructure and integrates seamlessly with current meters and systems for efficient management across a range of facilities, factories, and buildings. Moreover, this comprehensive strategy not only boosts operational productivity but also fosters better environmental responsibility for organizations dedicated to eco-friendly practices. Ultimately, DSE Monitoring stands as a pivotal tool for organizations striving to align their operational goals with sustainability and efficiency.
What is BrainBox AI?
BrainBox AI utilizes cutting-edge self-learning artificial intelligence to improve the energy efficiency of major energy consumers and significant greenhouse gas emitters: buildings. One critical yet frequently underestimated contributor to this energy use is the Heating, Ventilation, and Air Conditioning (HVAC) systems installed in these facilities. Astonishingly, HVAC systems are responsible for 45% of the energy consumption in commercial buildings, with around 30% of that energy often going to waste. By employing deep learning, cloud technology, and our distinctive strategies, our AI system optimizes HVAC operations in real-time, resulting in notable improvements in energy efficiency, reductions in carbon emissions, and enhanced overall performance of the buildings. Given that commercial structures are major contributors to global greenhouse gas emissions, our groundbreaking technology holds the potential to significantly decrease these emissions, potentially halving them. In the grand scheme, BrainBox AI's innovative method leverages advanced algorithms and state-of-the-art technology to create a substantial impact in the ongoing battle against climate change, fostering a more sustainable future. This approach not only benefits the environment but also leads to considerable cost savings for building operators.
Integrations Supported
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Android
iPhone
iPad
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
DSE Monitoring
Date Founded
2023
Company Location
United Kingdom
Company Website
dsemonitoring.io
Company Facts
Organization Name
BrainBox AI
Date Founded
2017
Company Location
Canada
Company Website
www.brainboxai.com
Categories and Features
Energy Management
Not specified
Categories and Features
Energy Management
Not specified
Smart Building
Not specified