
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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StackAI is an enterprise AI automation platform built to help organizations create end-to-end internal tools and processes with AI agents. Unlike point solutions or one-off chatbots, StackAI provides a single platform where enterprises can design, deploy, and govern AI workflows in a secure, compliant, and fully controlled environment.
Using its visual workflow builder, teams can map entire processes — from data intake and enrichment to decision-making, reporting, and audit trails. Enterprise knowledge bases such as SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected directly, with features for version control, citations, and permissioning to keep information reliable and protected.
AI agents can be deployed in multiple ways: as a chat assistant embedded in daily workflows, an advanced form for structured document-heavy tasks, or an API endpoint connected into existing tools. StackAI integrates natively with Slack, Teams, Salesforce, HubSpot, ServiceNow, Airtable, and more.
Security and compliance are embedded at every layer. The platform supports SSO (Okta, Azure AD, Google), role-based access control, audit logs, data residency, and PII masking. Enterprises can monitor usage, apply cost controls, and test workflows with guardrails and evaluations before production.
StackAI also offers flexible model routing, enabling teams to choose between OpenAI, Anthropic, Google, or local LLMs, with advanced settings to fine-tune parameters and ensure consistent, accurate outputs.
A growing template library speeds deployment with pre-built solutions for Contract Analysis, Support Desk Automation, RFP Response, Investment Memo Generation, and InfoSec Questionnaires.
By replacing fragmented processes with secure, AI-driven workflows, StackAI helps enterprises cut manual work, accelerate decision-making, and empower non-technical teams to build automation that scales across the organization.
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DapperDox
DapperDox is a freely available tool designed to provide a comprehensive and ready-to-implement presentation of your OpenAPI specifications, seamlessly integrating them with your documentation, guides, and diagrams crafted in GitHub-flavored Markdown. It revolutionizes the publication of your API Swagger specifications and allows for the management of various API specifications as an interconnected suite of products, complete with the capability to cross-reference them as necessary. The built-in API explorer encourages users to experiment directly from the documentation pages, while also ensuring smooth integration with your authentication processes and API key arrangements. Furthermore, DapperDox can act as a proxy for your development platform, simplifying the API key generation and management process in conjunction with your specifications and guides. You also have the option to tailor themes to present your documentation according to your desired aesthetic. Developed by passionate authors focused on API documentation, DapperDox strives to improve the quality and accessibility of the information available to developers, promoting a deeper understanding and engagement with APIs. This commitment to user-friendliness guarantees that both beginners and seasoned developers can benefit from the platform, establishing it as an indispensable resource for any API-centric project. As such, DapperDox plays a crucial role in enhancing collaboration and communication within development teams, making it a valuable addition to any API toolkit.
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ChatOga
ChatOga utilizes the advanced functionalities of OpenAI's GPT-3 and Whisper to assess both text and audio messages, allowing it to deliver accurate and pertinent responses through platforms like WhatsApp and Telegram. By leveraging the text processing capabilities of GPT-3 alongside Whisper's audio analysis, ChatOga meticulously evaluates both communication types to provide meaningful answers to user questions. The service seamlessly integrates with the widely-used chat applications of WhatsApp and Telegram, making it user-friendly and accessible. This thoughtful integration not only simplifies interactions but also enriches the user experience by facilitating easy communication with cutting-edge technology. As a result, users can effortlessly access information and support in a manner that feels natural and intuitive.
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