4.7 out of 5 stars
(3 Ratings)
Ask 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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4.5 out of 5 stars
(99 Ratings)
SPEC Innovations offers a premier model-based systems engineering solution aimed at helping your team accelerate time-to-market, lower expenses, and reduce risks, even when dealing with the most intricate systems. This solution is available in both cloud-based and on-premise formats, featuring an easy-to-use graphical interface that can be accessed via any current web browser.
Innoslate provides an extensive range of lifecycle capabilities, which include:
• Management of Requirements
• Document Control
• System Modeling
• Simulation of Discrete Events
• Monte Carlo Analysis
• Creation of DoDAF Models and Views
• Management of Databases
• Test Management equipped with comprehensive reports, status updates, outcomes, and additional features
• Real-Time Collaboration
Additionally, it encompasses numerous other functionalities to enhance workflow efficiency.
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SysMLv2 Editor
The SysMLv2 Editor is a Visual Studio Code extension that facilitates the creation of SysML v2 models in a text-based format, developed by Change Vision, Inc. These models are stored as standard .sysml files, which can be effectively managed within Git repositories, compared during pull requests, and assessed alongside other source code elements.
Key features include syntax highlighting, real-time validation in accordance with the SysML v2 grammar, navigation to definitions, an outline view, and the ability to generate diagrams that analyze both structural and behavioral aspects of models. Although the provided diagrams are read-only, allowing for text editing, Change Vision also has an early access version of the SysMLv2 Modeler that permits direct manipulation of diagrams.
This editor is compatible with Windows, macOS, and Linux platforms, and users can utilize it through Astah SysML, Astah System Safety, or Astah Faculty Site Licenses without further financial commitment, with a complimentary 20-day trial also available. It is important to mention that the editor does not allow the import of SysML v1 models from Astah SysML, which helps maintain a clear differentiation between SysML versions. By concentrating on SysML v2, the tool aims to offer an enhanced user experience, featuring advanced functionalities and a contemporary approach to modeling, ultimately fostering a more efficient workflow for developers and modelers alike.
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Syndeia
A Digital Thread can be viewed as a network of nodes that symbolize different components located within enterprise repositories, systems, and tools for version control, with connections illustrating both internal relationships within each tool and external links that Syndeia enables between these elements. Furthermore, Syndeia provides model transformation features that are instrumental in building the digital thread graph, facilitating actions such as easily transferring requirements from Jama or DOORS-NG into SysML, creating Simulink models and PLM part structures based on SysML frameworks, linking behavioral components in SysML to relevant software code in GitHub, and even tracking the development status of a sub-system in JIRA directly from SysML. In addition, Syndeia enriches the digital thread by offering capabilities for searching, comparing, and bi-directionally synchronizing related models, which allows users to assess and align modifications in system architecture with the PLM part structure or to ensure that changes made in DOORS-NG requirements are reflected in SysML, showcasing the extensive functionalities involved in digital thread management. This interconnected framework not only enhances the efficiency of workflows but also guarantees that all project components are synchronized and current across various platforms, ultimately fostering better collaboration and project oversight. Thus, the comprehensive nature of the digital thread serves as a crucial element in modern engineering and project management strategies.
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