Alternatives to Roiva

CloudZero helps businesses optimize cloud spend with full visibility into costs—so they can reduce wasteful spending and improve their unit economics. Unlike other solutions, we take an engineering-led approach to cost optimization, helping teams understand what drives 100% of their operational cloud spend, empowering them to reduce risk, minimize waste, and maximize profit.

FISPAN is a leader in embedded ERP banking, connecting financial institutions directly to the ERP and accounting systems businesses rely on every day. By embedding secure banking functionality inside NetSuite, Sage Intacct, Microsoft Dynamics 365 Business Central, Workday, QuickBooks, and Xero, FISPAN eliminates manual file uploads and disconnected workflows. Automate accounts payable, streamline accounts receivable, enable reliable bank feeds, initiate payments, manage expense reimbursements, and access near real-time cash visibility, all within your ERP. FISPAN’s secure API connectivity ensures accurate transaction data flows directly into your reconciliation module, reducing errors, improving efficiency, and enhancing financial control. Designed for banks, businesses, and ERP partners, FISPAN transforms ERP systems into fully connected financial command centers.

Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned. FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills. Capabilities include: Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured. Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed. Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly. Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served. For technology and finance leaders accountable for what AI spend returns.

LeaseAccounting.app is a self-serve IFRS 16 and FRS 102 lease accounting platform built for finance teams who want audit-ready compliance without spreadsheets, implementation consultants, or six-figure setup costs. Made by ZenTreasury Oy in Helsinki, Finland with EU-only data hosting. Designed for SMEs reporting under IFRS 16 or FRS 102 (UK GAAP), typically managing 5 to 50 leases. The platform generates complete lease schedules, journal entries, modifications, remeasurements, terminations, and one-click audit evidence packs from any lease contract. AI-assisted contract extraction reads your PDFs and proposes lease terms with confidence scoring; you approve, and the deterministic calculation engine produces the numbers. Same inputs, same outputs, every time. Zen AI is advisory only and never touches a calculation. Other features: Discount Rate Advisor pulls reference rates from central bank sources and drafts a rate memo for review; continuous compliance monitoring flags indexations due, expiring leases, and overdue reassessments; multi-entity bookkeeping from day one; auditor portal access with activity logging (coming soon); journal export to SAP, Oracle, Dynamics, and NetSuite formats; Azure AD / Entra ID SSO with JIT provisioning. Pricing: free tier covers 2 leases with no credit card required. Paid plans start at €149 per month with no per-seat pricing and generous team access included on every tier. Differentiation: built IFRS-first (not ASC 842-first), EU-hosted, fully implemented FRS 102, and self-serve onboarding. The trusted alternative to spreadsheet-based compliance and consultant-heavy enterprise lease tools.

CloudQuell is an innovative cost management solution tailored for teams managing expenditures that are dispersed across various platforms. It efficiently retrieves AWS billing data on a daily basis via a scoped read-only cross-account IAM role, while also integrating seamlessly with OpenAI, Anthropic, and Snowflake through its dedicated Integrations page. Additionally, the platform offers features such as cost centers, allocation guidelines, tagging systems, and the ability to view costs across multiple accounts, enabling precise attribution of expenses to the respective team or product responsible. With functionalities like anomaly detection, budget tracking, and alert notifications, it proactively identifies issues as they arise, while providing prioritized savings suggestions to help users pinpoint where financial resources can be optimized. Furthermore, every user tier benefits from a weekly email summarizing their accrued costs, ensuring that all teams stay informed about their spending.

FinOps LLM serves as an advanced platform for AI cost management and observability, specifically designed for engineering teams utilizing production GenAI. It enables transparency in token expenditures across a variety of providers such as OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, and Groq, while also aligning internal usage data with invoices from these providers. Users can filter token-level expenses based on provider, model, feature, team, customer, environment, and other custom metrics, ensuring that each dollar spent has a designated owner. Additionally, the platform includes attribution and chargeback functionalities that correlate usage with product interfaces and customer demographics, facilitating showback processes and allowing for data exports to systems like NetSuite, QuickBooks, CSV, or through APIs. Furthermore, real-time anomaly detection features track spending, latency, and quality, comparing them against dynamic feature baselines, and issue alerts via Slack, PagerDuty, email, or webhooks whenever notable changes occur. To further enhance cost control, optional budget enforcement and auto-throttling measures can prevent excessive spending due to runaway agents, excessive retries, or unexpected model shifts. This comprehensive approach ensures that engineering teams can manage their AI resources effectively while maintaining financial oversight.

LLMeter is a comprehensive open-source platform designed for monitoring AI costs, allowing developers to manage their expenditures across various providers like OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI from a single dashboard. By simply connecting read-only provider keys, teams can instantly access detailed insights into actual costs, daily usage trends, model-specific analytics, and potential areas for optimization, all within approximately 30 seconds and without any need for SDK installation, endpoint modifications, or rerouting production traffic through a proxy. Since it facilitates direct communication with model providers, LLMeter introduces no additional latency, avoids becoming a single point of failure, and does not access or store any user prompts or completions. Additionally, budget alerts notify teams prior to exceeding their daily or monthly spending thresholds, while anomaly detection features help catch unexpected usage surges before they escalate. The platform's dashboard provides a clear overview of the costs associated with various providers, models, endpoints, customers, and environments, and its integration with OpenRouter enhances transparency by covering over 500 models, ensuring users have a robust tool for managing their AI-related expenditures efficiently. Ultimately, LLmeter empowers teams to make informed financial decisions regarding their AI usage.

StackSpend is an advanced cost management platform leveraging cloud and AI technologies, designed to offer engineering, finance, and FinOps teams a consolidated daily overview of their contemporary AI infrastructure. By establishing read-only connections to a variety of providers such as AWS, Google Cloud, Azure, Snowflake, and others, it seamlessly imports historical billing information and standardizes expenditure across different services. The platform features comprehensive dashboards and exploration tools that dissect costs by various dimensions, including provider, service, model, project, user, team, feature, and customer, thereby aiding teams in analyzing AI COGS, cost per request, and profit margins at the product level. Additionally, it provides insights into budgets and projected spending trends, while its same-day anomaly detection feature identifies unexpected cost spikes triggered by factors such as traffic surges, prompt errors, model adjustments, deployment activities, or specific user actions. Notifications and daily indicators, categorized as green, amber, or red based on spending levels, can be dispatched through communication platforms like Slack, Microsoft Teams, email, or webhooks, ensuring teams remain informed about their spending patterns. Ultimately, StackSpend empowers organizations to maintain a firm grip on their AI expenditures, fostering enhanced financial accountability and strategic decision-making.

Burnwise serves as a financial assistant powered by AI, providing insights into an organization's AI expenditure, the reasons behind spending fluctuations, and strategies for cost reduction without compromising on product quality. It monitors usage metrics across large language models, image generation, video, and audio services from leading providers through a consolidated SDK and a cohesive dashboard. Rather than merely presenting aggregate token statistics, Burnwise breaks down costs by specific product features, users, sessions, teams, and agent workflows, allowing teams to gain a clearer understanding of the actual expenses associated with functions such as chat support, document assessment, summaries, or translation services. The platform's usage intelligence uncovers discrepancies between cost and value, while real-time anomaly alerts detect unexpected surges and excessive prompt usage. Additionally, Burnwise provides a concise set of prioritized decision cards that outline potential savings, risk factors, and quality implications, suggesting actions such as changing models, activating semantic caching, imposing limits, or altering feature operations. By offering these insights, Burnwise empowers organizations to make informed decisions that enhance efficiency and optimize resource allocation.

Insights by Promevo serves as a read-only reporting and governance tool tailored for organizations leveraging Gemini Enterprise and Google Cloud. This platform consolidates reporting on various aspects including Gemini license usage, custom AI agents, cloud access, and associated costs for both AI and cloud services. Teams are empowered to analyze license utilization and pinpoint idle seats, manage inventories of custom agents, and assess their performance, tools, health, and any errors that may arise. Additionally, it enables the allocation of token or model expenditures to specific teams and projects. The FinOps dashboards provide valuable insights into cloud spending trends and allow for comparisons between budgeted amounts and actual spending, while access reports effectively link users to Google Cloud assets, aiding in the identification of excessive permissions. Designed to operate via read-only APIs, the product ensures that it does not interfere with customer environments or access prompt content. In conjunction with gPanel, Promevo enhances the management capabilities of Insights, making it an essential tool for organizations seeking comprehensive governance and reporting solutions.

AICosts.ai serves as a comprehensive platform for managing AI-related expenses, consolidating billing and usage information from over 50 different providers into a single dashboard. Users can easily upload invoices and data exports in various formats such as PDF, CSV, or JSON, or they can utilize the developer API to send usage events, with the platform efficiently parsing this information into a standardized format without needing any proxy setups or alterations to production requests. It accommodates a wide array of services including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Cohere, Groq, Hugging Face, Pinecone, RunwayML, Make, Zapier, and n8n. Daily insights break down expenditures by platform, model, and billed units, which encompass tokens, operations, characters, and other specific metrics from providers, enabling users to compare different services and understand the origins of their charges. Additionally, users can set budgets that may either encompass the entire AI landscape or focus on specific platforms or features, while also receiving email notifications whenever their rolling 30-day expenses surpass predetermined thresholds, ensuring they stay informed and within their financial limits. This level of detail and control empowers teams to manage their AI costs more effectively.

Mavvrik operates as a sophisticated platform for managing costs associated with AI and hybrid infrastructure, providing a centralized hub for finance, FinOps, IT, and engineering teams to oversee GenAI, autonomous agents, GPUs, cloud systems, on-premises resources, Kubernetes, data platforms, and SaaS solutions. By consolidating cost, usage, and telemetry data from major providers such as AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, it establishes a comprehensive source of truth for the entire technology ecosystem. Teams can meticulously monitor each model interaction, agent engagement, GPU utilization, and resource workload, allowing for precise spending allocation across various dimensions, including customer, product, feature, project, application, environment, team, or cost center. Through in-depth analysis of cost-to-serve and unit economics, Mavvrik uncovers margin losses, identifies costly workloads, and clarifies the actual expenses involved in delivering each service. Additionally, its capability for real-time anomaly detection and alerts serves to flag unusual usage patterns before they escalate into unexpected budget overruns, while its predictive forecasting tools assist organizations in effectively modeling their cloud, GPU, and AI-related expenditures. This holistic approach empowers teams to make informed financial decisions and optimize resource utilization for sustained growth.

Microsoft has launched Microsoft 365 Copilot Chat, a complimentary AI-powered chat service aimed at boosting productivity in the workplace. Utilizing OpenAI's advanced GPT-4 technology, Copilot Chat enables users to design and implement AI agents for a variety of tasks, including automating workflows and organizing email correspondence. While these AI agents were initially part of the premium Microsoft 365 Copilot subscription, they can now be accessed through the Copilot Chat platform. Users have the opportunity to create personalized agents via Copilot Studio, with a flexible pricing model that includes pay-as-you-go options or consumption packs. The interactions with these agents are quantified in messages, with charges ranging from 1 cent for basic replies to 30 cents for retrieving information from work-related data through the Microsoft Graph. This new offering is intended to introduce companies to AI tools, fostering a greater acceptance of the full Microsoft 365 Copilot suite, which continues to be available for $30 per user each month. Additionally, this move reflects Microsoft's commitment to integrating AI into everyday business operations, potentially transforming how organizations operate in the digital age.

Cloudgov.ai serves as an intelligent AI-driven FinOps platform designed for ongoing management of costs and policy adherence across various environments, including cloud, multicloud, data systems, containers, and artificial intelligence. By integrating major platforms such as AWS, Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, Kubernetes, OpenAI, Anthropic, and Gemini into a unified control panel, it enables teams to monitor expenses, allocation, policies, and associated risks in real time. Its Continuous Multicloud Observability feature links accounts, reviews past expenditures, categorizes costs based on region, account, and service, and projects future spending based on historical data. With AI-generated insights, the platform uncovers areas of waste and potential optimization, and its anomaly detection functionality alerts users to unexpected spikes in spending along with their financial implications. Furthermore, it provides ready-to-use Infrastructure as Code snippets for remediation, which allows engineering teams to implement suggested adjustments seamlessly, and integrates with Jira to convert insights and anomalies into actionable tasks for team members, thereby streamlining the workflow for cost management. Overall, Cloudgov.ai empowers organizations to maintain financial control while enhancing efficiency across their cloud operations.

AI Cost Board serves as a comprehensive platform for monitoring AI API usage and managing associated costs, consolidating important metrics like expenses, requests, tokens, latency, errors, and overall usage from various model providers into a unified real-time dashboard. By directing LLM traffic through a single proxy endpoint, applications can efficiently forward requests to the designated provider while capturing detailed logs that include model information, token usage, status, timing, costs, input, output, and raw JSON context. Typically, teams only need to adjust the base URL of the provider and utilize an AI Cost Board project key, thereby maintaining the integrity of the original request structure. This platform accommodates a variety of providers such as OpenAI, Anthropic, and Google Gemini, offering a standardized setup that harmonizes usage data across different integrations. Cost analytics provide a breakdown of spending categorized by project, provider, model, and timeframe, enabling users to identify trends, calculate cost per request, assess success rates, and evaluate operational performance. Moreover, the searchable request logs empower developers to analyze payloads, address failures, compare various models, and probe into instances of slow or costly API calls. Overall, AI Cost Board enhances transparency and control over AI API expenditures, facilitating informed decision-making for teams utilizing AI technology.

Tokonomics serves as an intermediary cost measurement tool that connects your application to various LLM providers. By simply altering a URL, you can access real-time expense monitoring, receive budget notifications, and enforce strict spending limits across platforms like OpenAI, Anthropic, DeepSeek, Google Gemini, Mistral, Groq, and others. To implement, just swap your LLM base URL with Tokonomics while retaining your current code. Each API interaction is meticulously documented, capturing token usage, cost in precise 8-decimal USD, response time, and personalized tags for attributing costs to specific teams or features. Highlighted features include: - Notifications for budget thresholds through email, Slack, or Teams - Enforced spending limits that prevent further requests once the monthly budget is reached - An analytics dashboard that provides insights on spending by model, daily patterns, and opportunities for cost reduction - Support for BYOK (Bring Your Own Keys) with robust AES-256 encryption - Rate limiting for each API key to manage usage - Compatibility with a wide array of programming languages and HTTP clients, such as PHP, Python, Node.js, Go, and Ruby, ensuring versatility for developers. Additionally, Tokonomics empowers teams to take control of their spending while enhancing their capability to manage diverse LLM integrations efficiently.

Waterfall serves as a credit infrastructure tailored for platforms that leverage large language models, enabling the transformation of AI applications into profitable business ventures without the need for teams to develop a proprietary billing system. It offers each user, agent, or team a credit wallet secured by stablecoins, meticulously tracking every model interaction based on provider, model, token count, and associated costs. Users can either route their requests through the Waterfall Gateway or utilize TypeScript and Python SDKs for integration, ensuring that usage is accurately attributed to the appropriate wallet in real time. Each API request is settled instantly against the wallet, leading to a decrease in credits while allowing for immediate revenue recognition for every request, eliminating the delays associated with traditional invoicing and manual accounting processes. With support for over 300 models from various providers, including OpenAI, Anthropic, DeepSeek, and xAI, Waterfall enables products to seamlessly deploy multiple AI services while managing a unified accounting framework. This innovative approach simplifies financial management for AI-driven applications, making it easier for businesses to scale their operations efficiently.

Monitor expenses, usage, and latency for GPT applications seamlessly with just one line of code. Renowned organizations that leverage OpenAI trust our service. We are expanding our support to include Anthropic, Cohere, Google AI, and additional platforms in the near future. Stay informed about your expenses, usage patterns, and latency metrics. With Helicone, you can easily integrate models like GPT-4 to oversee API requests and visualize outcomes effectively. Gain a comprehensive view of your application through a custom-built dashboard specifically designed for generative AI applications. All your requests can be viewed in a single location, where you can filter them by time, users, and specific attributes. Keep an eye on expenditures associated with each model, user, or conversation to make informed decisions. Leverage this information to enhance your API usage and minimize costs. Additionally, cache requests to decrease latency and expenses, while actively monitoring errors in your application and addressing rate limits and reliability issues using Helicone’s robust features. This way, you can optimize performance and ensure that your applications run smoothly.

Cloptima is an innovative platform that integrates AI and cloud FinOps, offering governance for LLM expenditures, insights into multicloud costs, optimization for Kubernetes, analysis of queries, and controls on engineering costs within a unified framework. Through its AI gateway, teams can securely utilize their own credentials from OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock, applying a range of protections like encrypted controls, virtual keys, model policies, token limits, budgets, guardrails, and attribution before any requests are sent to the providers. The platform's spend analytics provide a comprehensive breakdown of usage categorized by provider, model, team, application, environment, user, agent session, tool, workflow, and other dimensions, while the agent controls monitor retries, loops, tool interactions, and the potential for runaway costs. Additionally, exact and semantic response caching can help minimize redundant usage, whereas intelligent routing capabilities allow for the redirection of eligible traffic to more cost-effective or faster models, with the option for canary rollout and rollback if there are regressions in quality, latency, or error rates. This holistic approach ensures that organizations can effectively manage their AI-related expenditures while maximizing efficiency and performance across their operations.

Bifrost serves as a powerful AI gateway that consolidates access to over 20 providers, including OpenAI, Anthropic, AWS, Bedrock, Google Vertex, Azure, and others, all via a single API. It allows for rapid deployment in mere seconds without the need for any configuration, ensuring features such as automatic failover, load balancing, semantic caching, and robust enterprise governance. In rigorous tests handling 5,000 requests per second, Bifrost introduces a minimal overhead of just 11 microseconds for each request, showcasing its efficiency and reliability for high-demand applications. This makes it an ideal choice for organizations looking to streamline their AI integrations while maintaining performance.

Stay informed about your OpenAI usage and expenses with AI Spend, ensuring you're never caught off guard. With its intuitive dashboard and notification features, AI Spend efficiently tracks your costs while actively monitoring your usage. The detailed analytics and visual charts offer valuable insights that empower you to optimize your engagement with OpenAI and prevent unexpected bills. Receive notifications daily, weekly, and monthly to stay updated on your spending patterns. Understand which models you're utilizing and the number of tokens consumed, allowing for a comprehensive view of your OpenAI costs. By using AI Spend, you can take control of your expenses and make informed decisions about your usage.

LLMetrics serves as a comprehensive cost tracking solution for teams involved in the development of AI products, integrating model expenses, token consumption, feature attribution, and usage notifications into a single, interactive dashboard. This powerful tool accommodates over 100 models from various providers, including OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together AI, and Groq, with pricing information updated on a daily basis. Teams can label each model interaction with details such as feature name, provider, model type, input tokens, and output tokens, enabling them to pinpoint which specific functionalities—be it a chatbot, summarizer, search tool, or lesson creator—are contributing to their expenditures. The platform offers real-time updates and daily trend visualizations, illustrating how costs fluctuate in response to software releases, modifications to prompts, increases in traffic, or transitions between models. Additionally, it includes spend thresholds and spike-detection features that can alert teams via email or Slack when unusual usage patterns are identified, aiding them in preventing runaway loops and unforeseen cost surges prior to receiving the provider invoice. By leveraging these insights, teams can make informed decisions regarding their AI product strategies and budget management.

The Scientific Figure Generator is an innovative web application powered by AI, designed specifically for researchers, scientists, students, and scientific teams. This tool quickly transforms straightforward research concepts into polished scientific visuals, such as diagrams, graphical abstracts, figures for research papers, and technical illustrations, all within a matter of minutes. Users have the flexibility to select from various styles, including line art, 3D renderings, or flat illustrations, and can produce high-resolution outputs of 1K quality. Additionally, they can download files in PNG format, save their figures to a personal account, and make adjustments to selected areas. This versatile application caters to a wide array of needs, supporting figures for manuscripts, posters, theses, presentations, experimental workflows, biological mechanisms, engineering diagrams, and facilitating communication in multidisciplinary research. Furthermore, a complimentary version is offered, which allows users to generate figures without signing up initially, along with a lifetime allowance of three free figures for registered users. This accessibility makes it an invaluable resource for those engaged in scientific communication.

Spendline serves as a cloud-based AI gateway and cost-management solution tailored for software companies incorporating AI capabilities into their offerings. It efficiently channels model requests through a centralized gateway while documenting usage and expenses linked to each customer and agent, which aids engineering and finance departments in assessing AI expenditures against customer-generated revenue. Users have the ability to establish detailed budgets for various levels, including companies, teams, agents, and individual customers; they can also set up alerts and approval procedures and implement rules to direct requests to more cost-effective models. Additionally, Spendline features comprehensive usage analytics and month-end reconciliation processes that align documented usage with invoices from providers. With support for a variety of model suppliers, the service provides essential controls for overseeing AI usage across applications that are directly engaged with customers, ensuring efficient resource allocation and financial oversight. Moreover, its flexible budgeting system empowers teams to adapt to changing financial landscapes while maintaining a keen eye on cost management strategies.

Copilot 3D is an innovative, AI-driven application found within Microsoft’s Copilot Labs that allows users to transform a single 2D image (either JPG or PNG, with a maximum size of 10 MB) into a complete 3D model (in GLB format) without needing any technical skills. Focusing on ease of use for creative individuals, the tool requires merely the upload of an image and produces a 3D file that users can download. This service is available worldwide at no additional cost to those with a personal Microsoft account, making it a valuable resource for various fields such as game development, animation, 3D printing, virtual and augmented reality, and digital content creation. Although Copilot 3D is particularly effective at generating models of typical inanimate objects like furniture and everyday items, it encounters challenges when dealing with intricate subjects, including animals or human representations. Additionally, the system incorporates safeguards to block the creation of copyrighted or sensitive content, and it retains user-generated models for a period of 28 days. Overall, the tool serves as a gateway for many users to explore the fascinating world of 3D modeling effortlessly.

Finaxis streamlines the accounts receivable process by providing intelligent reminders, follow-ups across multiple channels (including email, SMS, and voice), predictive payment analytics, and immediate cash flow visibility. It seamlessly integrates with platforms like QuickBooks, Xero, Acomba, Sage 300, and NetSuite. Additionally, it enhances customer engagement by connecting with CRM systems such as HubSpot and Salesforce, allowing for tailored communication. For compatibility with other systems, it also offers CSV import functionality. Tailored specifically for the Canadian market, it features bilingual workflows in French and English, with all data securely stored within Canada to comply with Quebec's Law 25 and PIPEDA regulations. Aimed at finance teams in sectors such as professional services, SaaS, consulting, and staffing, Finaxis serves as a virtual accounts receivable assistant, functioning as an AI Copilot that adapts to the unique payment behaviors of each customer. This innovative solution not only improves efficiency but also helps companies optimize their cash flow management practices.

PatentAssist.ai is an online AI platform designed specifically for patent professionals, internal IP teams, startups, and inventors alike. It efficiently converts invention disclosures into claim sets initially, followed by the drafting of full or provisional patent specifications, abstracts, and figure descriptions in conformity with USPTO, EPO, DPMA, and IP India guidelines. Users have the ability to review and modify drafts with the assistance of an AI copilot and can conveniently export their work in DOCX format. The platform is capable of searching over 20 million patent records from the US, Europe, and India, utilizing both natural-language queries and field-specific searches to compile comprehensive patentability reports. Additionally, its drawing tool facilitates the creation of figures and reference numerals directly from claims, producing professional-grade patent illustrations. Users can perform patent searches without needing to create an account, and those interested in drafting have the opportunity to explore a seven-day trial. The interface is multilingual, supporting English, German, Spanish, and French, making it accessible to a diverse user base. Importantly, the platform ensures that any customer invention content is not utilized for model training, with AI processing conducted through Azure OpenAI in EU regions, thereby prioritizing user confidentiality. This focus on data privacy, alongside its robust features, makes PatentAssist.ai a valuable resource for innovation and intellectual property management.

Seats nobody uses. Changes nobody noticed. AI nobody approved. EtherInsights finds all three across your Microsoft estate, gives each one an owner, and keeps the proof. Seats nobody uses: find unused Microsoft 365 licences before your renewal locks them in. Add your renewal dates and EtherInsights warns you 30 days ahead, with the seats to cut. Azure resources and Windows 365 Cloud PC capacity are sized from real use. Changes nobody noticed: see who changed a setting, when, and what it was before, then put back just that setting, across Entra ID, Intune, Exchange Online, Teams, SharePoint and OneDrive, Windows 365, Defender and Purview. AI nobody approved: see the AI apps in your tenant and who let them in, and check Microsoft 365 Copilot readiness before you buy licences. Every finding carries an owner, an action and a value, so it can be approved line by line. MSPs see every customer tenant in one partner portal. Scans are read-only and metadata-only: no file content or mail bodies are stored. One published price for the whole platform: £0.79 per licensed user a month, no add-ons, no feature tiers. 14-day free trial on your own tenant (card required). Also available on Microsoft Marketplace. EfficientEther is certified to ISO 27001, ISO 9001 and ISO 42001.

Distribute your key initiatives evenly across the three Planning Horizons to ensure a balanced approach. Oversee your initiatives by following a systematic evaluation, prioritization, and approval process. Establish a clear agreement on costs and benefits in relation to your strategic objectives. Develop a detailed Implementation Roadmap that outlines the steps necessary for execution. Align your initiatives with your goals to ensure both consistency and thoroughness in your planning. Rigorously test your initiatives against various scenarios to verify their durability and effectiveness. Maintain a Personal Calendar and Actions feature that allows you to view all your meetings and tasks across different projects seamlessly. Utilize Calendar Integrations to synchronize strategy meetings from StratNavApp.com with your Google Calendar or iCal for Outlook. The Web Clipper tool enables users to easily bookmark and capture web content during the initial three months. With the File Vault, you can upload and organize files and images appropriately, benefiting from Microsoft SharePoint integration. Leverage API integrations to connect your current systems with StratNavApp.com for enhanced functionality. Finally, generate comprehensive MS Word Reports effortlessly at the push of a button for streamlined documentation and reporting.

Microsoft has introduced Copilot Checkout and Brand Agents, innovative AI-enhanced commerce features aimed at streamlining the customer journey from exploration to purchase, allowing users to discover, evaluate, and finalize transactions within an AI chat without leaving the conversation, all while ensuring that merchants retain oversight of the sale and customer interactions. The Copilot Checkout feature integrates a seamless conversational shopping and payment process into the Microsoft Copilot AI platform, enabling customers to inquire about products, receive tailored recommendations, compare choices, and finalize purchases directly within the chat interface, eliminating the need for redirects and enhancing the user experience, with payment processing managed through established partners such as PayPal, Shopify, and Stripe. Additionally, Brand Agents serve as AI-driven shopping assistants that merchants can implement on their own websites, initially through platforms like Shopify and Microsoft Clarity, to offer personalized brand-centric conversational support, address customer inquiries in the brand’s unique tone, and assist visitors in navigating inventory and overcoming concerns. This combination of tools not only enhances the shopping experience but also empowers brands to maintain their identity and engage customers more effectively.

LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!

Formis is a construction project management tool designed to streamline essential tasks such as RFIs, submittals, transmittals, document control, and approvals, specifically tailored for general contractors who prefer to manage projects without relying on costly enterprise software or extensive implementation costs. With its intuitive self-serve form builder and workflow engine, project managers can easily create forms, establish routing and approval processes, and modify notifications independently, eliminating the need for external consultants and allowing for customized workflows. Formis operates with a single source of truth, maintaining a comprehensive document register that tracks versions, revisions, and transmittals along with acknowledgment tracking, enabling users to communicate with external partners without incurring additional fees for paid seats. Furthermore, when team members seek answers already available in indexed project documents, Formis AI can quickly retrieve relevant information, referencing the specific sheet and page, which occurs prior to the submission of an RFI, thereby enhancing team efficiency while still valuing the expertise of the Engineer of Record. Moreover, the pricing model is straightforward, based on user seats, with clear and published rates, and importantly, there are no setup fees involved, making it accessible for teams looking to optimize their project management processes. This combination of features and transparency ensures that teams can focus on their construction projects without unnecessary financial burdens.

LiteLLM serves as a comprehensive platform that simplifies engagement with more than 100 Large Language Models (LLMs) via a single, cohesive interface. It includes both a Proxy Server (LLM Gateway) and a Python SDK, which allow developers to effectively incorporate a variety of LLMs into their applications without hassle. The Proxy Server provides a centralized approach to management, enabling load balancing, monitoring costs across different projects, and ensuring that input/output formats align with OpenAI standards. Supporting a wide range of providers, this system enhances operational oversight by creating distinct call IDs for each request, which is essential for accurate tracking and logging within various systems. Additionally, developers can utilize pre-configured callbacks to log information with different tools, further enhancing functionality. For enterprise clients, LiteLLM presents a suite of sophisticated features, including Single Sign-On (SSO), comprehensive user management, and dedicated support channels such as Discord and Slack, ensuring that businesses have the resources they need to thrive. This holistic approach not only improves efficiency but also fosters a collaborative environment where innovation can flourish.

Quit spending unnecessary time determining when everyone is free; opt for Scedule to organize your meetings seamlessly. This tool swiftly generates date suggestions that accommodate both you and all participants, making it easier than ever to coordinate with colleagues and partners. Astoundingly efficient, Scedule identifies the optimal meeting times for everyone involved while maintaining privacy by not requiring calendar sharing. Additionally, it integrates with your workplace and meeting room systems to facilitate necessary bookings. By automating your meeting processes, Scedule removes the hassle of initiating services or following up manually, allowing you to focus on what truly matters. Experience the convenience of streamlined scheduling with Scedule today!

AICostGuardian serves as a comprehensive platform for managing AI expenses, enabling organizations to monitor, enhance, and regulate their spending on over 25 different AI service providers through a centralized interface. It meticulously tracks every API interaction with millisecond accuracy, providing instantaneous cost calculations and integrating provider data into comprehensive analytics, automated reporting, forecasting, and visual dashboards. Teams can evaluate spending patterns, benchmark usage against peers, pinpoint areas for cost savings, and leverage machine-learning insights alongside intelligent recommendations to minimize avoidable AI costs. With predictive alerts and anomaly detection features, users receive timely notifications about unusual spikes in usage and potential budget exceedances, while customizable spending thresholds ensure that consumption remains manageable. Additionally, department-specific cost tracking, team performance analytics, detailed permission settings, and role-based access facilitate clearer ownership accountability and regulation of AI resource utilization throughout the organization, ensuring informed decision-making and strategic oversight. As organizations increasingly adopt AI technologies, AICostGuardian stands out as a vital tool for fostering financial prudence and operational efficiency.

Cademy serves as a cloud-based platform tailored for training management specifically designed for professional course providers. It seamlessly integrates functionalities for course creation, booking, scheduling, a training customer relationship management system, payment processing, invoicing, and a comprehensive learning management system that facilitates the administration of learners while delivering in-person, live online, on-demand, and hybrid courses. Course providers have the flexibility to publish their offerings via a customized booking site or incorporate booking functionalities into their existing websites, allowing them to manage bookings for individuals, groups, and organizations while also coordinating facilitators, venues, attendance tracking, reminders, and calendar syncing. The platform is equipped with features for quizzes, assessments, SCORM course delivery under certain plans, issuance of certificates, and tracking learner progress and reporting metrics. Additionally, it handles payment processing, invoicing, membership management, discounts, and waitlisting options, along with integration capabilities for calendars, video conferencing tools, accounting software, and various workflow applications. Users can choose between a free version and multiple paid plans, each offering differing features and usage limits to cater to diverse training needs. This flexibility makes Cademy an appealing choice for a wide range of training organizations seeking to enhance their management processes.

Current RMS is a comprehensive cloud-based software designed specifically for managing rentals in the audiovisual, lighting, broadcast, production, and events industries. This all-in-one platform enables businesses to efficiently oversee every stage of the rental process, starting from the initial request all the way through to invoicing, by utilizing robust tools for generating quotes, managing inventory, facilitating online quote approvals, and maintaining customer relationships. With an intuitive drag-and-drop editor and pre-built document templates, Current RMS allows users to easily create quotes, proposals, invoices, and rental agreements. Additionally, it offers smooth integration with accounting software like Xero and QuickBooks Online, further enhancing its functionality for users. This makes it an invaluable tool for businesses looking to streamline their rental operations.

FirstHelm serves as a centralized control plane for managing AI agents, acting as an intermediary between your collection of agents—such as n8n, OpenAI, Anthropic, CrewAI, LangChain, Microsoft Copilot Studio, or any custom agent through REST API—and the broader ecosystem. It not only regulates the permissions of each agent but also ensures accountability by logging every action and verifying it against established rules, including budget limits, prohibited actions, and visibility into costs and tokens per mission. Actions that are deemed costly, hazardous, or irreversible require human consent before proceeding, with any unattended approvals set to expire as a safeguard against inaction. Additionally, FirstHelm features live dashboards that allow users to guide agents in real time during missions, while also producing comprehensive audit trails and compliance documentation aligned with standards such as the EU AI Act, ISO 42001, SOC 2, UK GDPR, NIST AI RMF, and FCA requirements—encompassing 38 controls that are evaluated in real-time based on your own data. This innovative solution is available under a freemium model, is adaptable to various frameworks, and originates from the UK, underscoring its commitment to regulatory compliance and user empowerment. With its user-friendly interface and robust functionality, FirstHelm aims to enhance the management and oversight of AI-driven operations.

We provide a unified platform for engineering, finance, and FinOps teams to monitor, allocate, and enhance spending on LLM APIs from various providers. Expenses are categorized based on customizable dimensions that align with your organization's financial reporting practices. Engineering teams experience seamless cost monitoring that doesn't impede their workflow. CTOs benefit from a consolidated view that facilitates model governance and mitigates unauthorized usage. CFOs receive high-quality financial reports for accurate forecasting, budgeting, and chargebacks, all tailored to their specific reporting frameworks. FinOps teams have access to real-time cost information across multiple providers, integrating effortlessly into their existing cloud management processes. When your organization utilizes LLM APIs and the board inquires about spending and its justification, we serve as the definitive solution to those questions. Furthermore, our platform empowers teams to make informed financial decisions, increasing accountability and optimizing resource allocation.

Cost Reports offer user-friendly dashboards that enable sophisticated reporting and filtering of accrued expenses. You can apply filters to observe daily cost patterns by service, business unit, tag, or account. Additionally, you can link intricate logic to meet any reporting requirement. The forecasts come with confidence intervals that update daily in response to your changing infrastructure, allowing you to gauge future costs effectively. Notifications regarding costs and trends can be sent to you via Slack, Teams, or email on a daily, weekly, or monthly schedule. You will also receive alerts for any cost anomalies detected. Autopilot assesses your EC2 workloads and procures three-year, no-upfront reserved instances to help you cut costs. You have the ability to specify which compute categories or regions Autopilot oversees. Furthermore, managing commitments and infrastructure adjustments becomes a seamless process, ensuring you stay on track with your budgetary goals. This way, you maintain full control over your cost management strategy while optimizing resource usage.

CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and Identity Governance platform that helps organizations discover, govern, and optimize every SaaS and AI application across the enterprise, including applications outside traditional SSO or IT visibility.

Compleat is a SaaS platform for purchasing automation, accounts payable automation, invoice capture, and purchase-to-pay management. It helps businesses automate manual finance and procurement workflows so teams can reduce costs, shorten processing times, and maintain stronger control over company spending. The platform is modular, allowing organizations to adopt the tools they need immediately and expand into more advanced automation over time. Compleat’s invoice capture solution extracts header and line-level data, includes attachments and email content, supports multiple invoice formats, languages, and currencies, and performs duplicate invoice checking and supplier bank validation. Its AP automation features include automated GL coding, dynamic approval workflows, parallel and group approvals, reminders, query management, proposed payment management, mobile access, and real-time invoice status visibility. Purchasing automation helps employees buy from approved suppliers, create purchase requests automatically, use pre-order approvals, and manage spend before purchases happen. The purchase-to-pay capabilities support purchase requests, PO layouts, ERP PO and receipt imports, two-way and three-way matching, budget management, commitment accounting, accrual accounting, and approval routing. Compleat connects with a wide range of accounting systems, ERP platforms, and supplier websites, including Xero, QuickBooks, Sage, Oracle NetSuite, Microsoft Dynamics, SAP, Amazon Business, Staples, Office Depot, and other global, UK, and US suppliers. By combining purchasing, invoice management, approvals, supplier integrations, and ERP connectivity, Compleat gives SMEs a practical way to modernize finance operations and improve purchasing control.

Flexera One transcends traditional IT asset management and financial operations by providing a comprehensive SaaS suite for hybrid IT environments. The platform delivers full visibility into hardware, software, SaaS subscriptions, and cloud infrastructure, enriched with proprietary data on millions of technology products via Technopedia®. Organizations gain intelligence on asset usage, vulnerabilities, and lifecycle events like end-of-life and end-of-support, enabling cost savings and risk reduction. Flexera One integrates ITAM with FinOps to optimize cloud spending, software licenses, and SaaS renewals, while also enhancing security and regulatory compliance. Sustainability efforts are supported through carbon footprint visibility and compliance reporting. It helps bridge communication gaps between IT and business units by aligning technology investments with business outcomes. With deep vendor integration and continuous data updates, the platform provides a reliable source of truth for IT investments. Flexera One fuels strategic decisions that improve ROI and accelerate digital transformation.

SalesRepFielder is an effective commission management tool designed for QuickBooks Online that analyzes your invoices along with the transferred sales-rep field, applies your specified commission guidelines, generates detailed statements for each representative, and seamlessly integrates the necessary journal entries into your accounting records. This software is particularly advantageous for bookkeepers, accounting firms, and small businesses utilizing QBO. THE ISSUE. One significant drawback of QuickBooks Online is the absence of a Sales by Rep report. For those who transitioned from the Desktop version, the conversion process resulted in the REP field being transferred as a custom dropdown with only initials, which remains unlinked to any employee records. As a workaround, many users resort to a monthly commission spreadsheet that tends to be overlooked during audits. WHAT IT OFFERS. SalesRepFielder seamlessly interfaces with QuickBooks Online to extract data from invoices, sales receipts, payments, credit memos, and refund receipts, including the imported rep custom field. The platform supports a variety of commission structures through clearly defined rules, such as flat rates, tiered systems, per-deal rate lookups, margin-based calculations, quotas and performance targets, bonuses, SPIFF periods, splits, pools, manager overrides, caps, and clawbacks. This comprehensive approach ensures that all aspects of commission management are covered efficiently.

Binadox is a multicloud spend optimization solution. It combines SaaS and IaaS management into one solution. * Manage SaaS subscriptions and optimize spend * Cloud (AWS Azure, Azure) spend visibility and overspend prevention * Shadow IT & SaaS: * Cloud Spend Drilldown Analysis & Optimization Recommendation Binadox dashboard provides a view of all SaaS applications within your organization. This includes all authorized users, actual consumption, as well as costs. Get all the information you need to make informed decisions. Multi-cloud monitoring for both AWS and Azure. Proactive granular spend monitoring, and notification to avoid Bill Shocks. Monitoring of major Cloud services like compute, storage, and network You can drill down to the most atomic level, such as a single virtual computer in EC2. Get insights into the cost and usage of each virtual machine. Get actionable optimization suggestions Use an API, Proxy, or Agent to discover SaaS app usage