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Ratings and Reviews 0 Ratings
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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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CanditechCanditech equips HR professionals and hiring managers with the tools they need to make swift, confident, and impartial hiring choices. Its comprehensive testing platform assesses both technical and interpersonal skills through job simulation evaluations that encompass a range of tasks such as coding, SQL, Excel, and video communication. These assessments serve as strong indicators of a candidate's future job performance and overall fit for the role. By adopting a holistic perspective, the platform enables recruiters and hiring managers to fairly evaluate candidates for various positions across the organization, including departments like R&D, Marketing, Sales, and Customer Support. Candidates are also given the opportunity to demonstrate their technical abilities alongside their soft skills, fostering a positive experience throughout the hiring process. From the outset, the platform delivers impressive returns on investment: ✅ Cut down the time-to-hire by 50% ✅ Minimize unnecessary interviews by 80% ✅ Enhance diversity in hiring and mitigate bias Ultimately, Canditech not only streamlines the hiring process but also promotes a more equitable evaluation of potential employees.
What is Enexplan?
eneXplan is an all-encompassing software platform that aids building owners, managers, engineers, and consultants in identifying, evaluating, and implementing energy-efficient strategies tailored to various types of buildings. What sets it apart is its ability to deliver these services in a manner that is not only more efficient but also more cost-effective than other available solutions. The name eneXplan signifies its commitment to energy expert planning, positioning it as a comprehensive tool for large-scale energy conservation initiatives. Users can swiftly identify and assess a wide array of potential energy-saving options applicable in any building around the world. Furthermore, eneXplan includes a suite of essential tools, features, and reports designed to manage energy usage and improve the operational efficiency of a varied property portfolio. With a user-friendly approach, the platform enables individuals to easily construct a detailed model for any type of building. After this model is created, users gain access to an extensive library filled with energy-saving options to run simulations and analyze the possible energy savings each alternative could yield, which aids in making well-informed choices regarding energy efficiency enhancements. Moreover, eneXplan not only supports energy optimization but also promotes sustainable practices within the built environment, making it an invaluable asset for those committed to reducing energy costs while enhancing overall performance.
What is AMMP?
AMMP is a cloud-based, vendor-agnostic platform crafted for managing and supervising renewable energy portfolios that include solar, battery storage, hybrid systems, wind farms, and generator locations. By consolidating equipment data into detailed site and portfolio dashboards, it leverages cloud API connections with a variety of manufacturers and includes an edge datalogger for local data collection when required. Teams utilize this platform for real-time surveillance, performance indicator evaluations, alert handling, ticket management, performance report generation, energy savings tracking, and tariff oversight alongside Power Purchase Agreements (PPAs), while also granting access to investor or customer portals. The launch of AMMP AI introduces users to Ray, an AI assistant that assesses portfolio performance, pinpoints and ranks operational issues, provides data-driven answers to questions, and aids in report creation. Users can effortlessly engage with AMMP OS, Microsoft Teams, or Slack, and the REST Data API along with the Model Context Protocol server provides programmatic and assistant-led access to portfolio information. This adaptability ensures that teams remain well-informed and agile amid the rapidly changing landscape of renewable energy. Furthermore, the continued evolution of AMMP's features promises to enhance operational efficiency and strategic decision-making for its users.
Media
No images available
Integrations Supported
Integrations Supported
Claude
Cursor
Microsoft Copilot
Microsoft Power BI
Microsoft Teams
Model Context Protocol (MCP)
OpenAI Codex
Slack
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
AMMP AI and AMMP OS Platform are available separately or together as annual subscriptions priced per MWp of monitored capacity. A minimum annual fee applies. Volume, multi-module and multi-year discounts are available. The MCP server and Data API are add-ons.
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Almiranta
Date Founded
2010
Company Location
Canada
Company Website
www.almiranta.com/realexplan.php
Company Facts
Organization Name
AMMP Technologies
Date Founded
2016
Company Location
Netherlands
Company Website
www.ammp.io
Categories and Features
Energy Management
Benchmarking
Bill Importing
Budgeting & Forecasting
Cost / Use Reporting
Emissions Monitoring
Energy Price Analysis
Load Forecasting
Weather Normalization
Categories and Features
Energy Management
Not specified