Roiva Alternatives

CloudZero is the leader in proactive cloud cost efficiency. We enable engineers to build cost-efficient software without slowing down innovation. CloudZero's next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. We are the only platform that enables companies to understand 100% of their operational cloud spend and take an engineering-led approach to optimizing that spend. CloudZero is used by industry leaders worldwide, such as Coinbase, Klaviyo, Miro, Nubank, and Rapid7.

FISPAN partners with your bank to deliver embedded, automated ERP banking solutions for accounts payable, accounts receivable, bank feeds, and cash management. Eliminate error-prone manual processes and embrace secure, seamless ERP-to-bank connectivity. Integrate your banking directly into leading ERP and accounting platforms, including NetSuite, Sage Intacct, Microsoft Dynamics 365 Business Central, Workday, QuickBooks, and Xero. Streamline AP workflows, initiate vendor payments, manage expense reimbursements, automate cash application, and send detailed remittance advice emails, all without leaving your system of record. Access near real-time account balances and transactions across entities, initiate book transfers, and automate reconciliation with secure API connections. No file uploads. No bank statement formatting. Just reliable, scalable embedded ERP banking powered by FISPAN.

FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate. Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle. Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks. PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage. EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars. ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute. PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant. proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client. Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide

LeaseAccounting.app is the self-serve IFRS 16 and FRS 102 lease accounting platform for finance teams that want audit-ready compliance without spreadsheets, consultants, or six-figure implementations. Built by ZenTreasury Oy in Helsinki (EU data hosting), it generates lease schedules, journal entries, modifications, remeasurements, and one-click audit evidence packs from any lease contract. AI-assisted contract extraction reads PDFs and proposes lease terms with confidence scoring; you approve, and the deterministic engine handles the math. Same inputs, same outputs, every time. Includes a Discount Rate Advisor that pulls reference rates from central bank sources, plus continuous compliance monitoring for indexations and reassessments. Journal export to SAP, Oracle, Dynamics, and NetSuite. Free tier covers 2 leases, no card required; paid plans from €149 per month with no per-seat pricing.

FinOps LLM is an AI cost management and LLM observability platform for engineering teams running production GenAI. It makes token spend visible across OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, Groq, and other providers and reconciles internal usage data against provider invoices. Token-level costs can be filtered by provider, model, feature, team, customer, environment, and custom dimensions, giving every dollar a clear owner. Attribution and chargeback tools map usage to product surfaces and customer cohorts, support showback, and export data to NetSuite, QuickBooks, CSV, or APIs. Real-time anomaly detection monitors spend, latency, and quality against rolling feature baselines, sending alerts through Slack, PagerDuty, email, or webhooks when behavior changes. Optional budget enforcement and auto-throttling can stop runaway agents, retries, or model shifts before they become expensive.

StackSpend is a cloud and AI cost management platform that gives engineering, finance, and FinOps teams one daily view of the modern AI stack. It connects through read-only credentials to providers including AWS, Google Cloud, Azure, Snowflake, Vercel, ClickHouse Cloud, Elastic Cloud, OpenAI, Anthropic, Cursor, GitHub, Hugging Face, Grok, and Twilio, then automatically loads historical billing data and normalizes spend across services. Dashboards and explorers break costs down by provider, service, model, project, user, team, feature, and customer, helping teams understand AI COGS, cost per request, and product-level margins. Budgets and pace-to-forecast show where monthly spending is headed, while same-day anomaly detection catches unusual increases caused by traffic, prompt bugs, model changes, deployments, or individual users. Alerts and daily green, amber, or red spend signals can be delivered through Slack, Microsoft Teams, email, or webhooks.

CloudQuell is a cost management platform built for teams whose spend no longer sits in one place. It ingests AWS billing data daily through a scoped read-only cross-account IAM role, and connects OpenAI, Anthropic, and Snowflake from the Integrations page. On top of that it supports cost centers, allocation rules, tags, and multi-account cost views, so spend can be attributed to the team or product that caused it. Anomaly detection, budgets, and alert delivery flag problems as they develop, and ranked savings recommendations show where the money is. Every tier receives a weekly accrued-cost recap email.

LLMeter is an open source AI cost monitoring platform that gives developers one dashboard for tracking spend across OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI. Teams connect read-only provider keys and can see real costs, daily trends, model-level breakdowns, and optimization opportunities in about 30 seconds without installing an SDK, changing endpoints, or routing production traffic through a proxy. Because requests continue going directly to the model provider, LLMeter adds no latency, does not become a point of failure, and never sees prompts or completions. Budget alerts warn teams before spending crosses daily or monthly limits, while anomaly detection identifies unexpected usage spikes before they grow. The dashboard shows which providers, models, endpoints, customers, and environments are driving costs, and OpenRouter support extends visibility across more than 500 models.

Insights by Promevo is a read-only reporting and governance platform for organizations using Gemini Enterprise and Google Cloud. It brings together reporting on Gemini license activity, custom AI agents, cloud access, and AI and cloud costs. Teams can review license use and identify idle seats; inventory custom agents and examine their models, tools, health, and errors; and attribute token or model spending to teams and projects. FinOps dashboards show cloud spending trends and budget-versus-actuals, while access reports map users to Google Cloud assets to help identify permissions that may be broader than needed. The product connects through read-only APIs and is designed not to change customer environments or read or store prompt content. Promevo offers Insights alongside gPanel.

Burnwise is an AI cost copilot that shows where an organization’s AI budget goes, why spending changes, and what actions can reduce it without sacrificing product quality. It tracks usage across LLMs, image generation, video, and audio from major providers through a single SDK and unified dashboard. Instead of stopping at aggregate token charts, Burnwise attributes costs to individual product features, users, sessions, teams, and agent workflows, helping teams understand the true cost of functions such as chat support, document analysis, summaries, or translation. Usage intelligence highlights cost-to-value mismatches, while anomaly alerts identify sudden spikes and runaway prompts in real time. Burnwise delivers a small set of prioritized decision cards with estimated savings, risk, and quality impact, covering actions such as switching models, enabling semantic caching, setting limits, or changing how a feature runs.

Microsoft has introduced Microsoft 365 Copilot Chat, a free AI-driven chat service designed to enhance workplace productivity. Powered by OpenAI's GPT-4, Copilot Chat allows users to create and utilize AI agents for tasks such as automating processes and managing email inboxes. These agents, previously exclusive to the full Microsoft 365 Copilot subscription, can now be accessed through Copilot Chat. Users can develop custom agents using Copilot Studio, with usage priced on a pay-as-you-go basis or through consumption packs. Agent interactions are measured in messages, with costs ranging from 1 cent for simple responses to 30 cents for accessing work data via the Microsoft Graph. This initiative aims to familiarize businesses with AI tools, encouraging adoption of the comprehensive Microsoft 365 Copilot suite, which remains available at $30 per user per month.

AICosts.ai is a unified AI cost management platform that brings billing and usage data from more than 50 providers into one dashboard. Teams upload provider invoices and exports in PDF, CSV, or JSON format, or push usage events through the developer API, and the platform parses them into a normalized structure without requiring a proxy or changes to production requests. It supports services including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Cohere, Groq, Hugging Face, Pinecone, RunwayML, Make, Zapier, and n8n. Daily views break spending down by platform, model, and billed unit, including tokens, operations, characters, and other provider-specific measures, helping users compare services and see where each bill comes from. Budgets can cover the full AI stack or a specific platform or feature, with email alerts when rolling 30-day spending crosses configured thresholds.

Cloudgov.ai is an agentic AI FinOps platform for continuous cost and policy governance across cloud, multicloud, data, container, and AI environments. It brings AWS, Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, Kubernetes, OpenAI, Anthropic, and Gemini into one control plane, giving teams a live view of cost, allocation, policy, and risk. Continuous Multicloud Observability connects accounts, analyzes historical spending, filters costs by region, account, and service, and forecasts future spend from history. AI-driven insights identify waste and optimization opportunities, while anomaly detection highlights unexpected spending surges and their financial impact. Ready-to-use Infrastructure as Code remediation snippets help engineering teams apply recommended changes, and Jira integration turns insights and anomalies into assignable work.

AI Cost Board is an AI API observability and cost control platform that brings costs, requests, tokens, latency, errors, and usage from multiple model providers into one real-time dashboard. Applications route LLM traffic through a single proxy endpoint, while requests are forwarded to the connected provider and logged with model, token, status, timing, costs, input, output, and raw JSON context. In most cases, teams only replace the provider base URL and use an AI Cost Board project key, keeping the original request structure intact. It supports providers including OpenAI, Anthropic, and Google Gemini, with a consistent setup that standardizes usage data across integrations. Cost analytics break spending down by project, provider, model, and timeframe, showing trends, cost per request, success rates, and operational performance. Searchable request logs help developers inspect payloads, troubleshoot failures, compare models, and investigate slow or expensive calls.

Track costs, usage, and latency for GPT applications with one line of code. Trusted by leading companies building with OpenAI. We will support Anthropic, Cohere, Google AI, and more coming soon. Stay on top of your costs, usage, and latency. Integrate models like GPT-4 with Helicone to track API requests and visualize results. Get an overview of your application with an in-built dashboard, tailor made for generative AI applications. View all of your requests in one place. Filter by time, users, and custom properties. Track spending on each model, user, or conversation. Use this data to optimize your API usage and reduce costs. Cache requests to save on latency and money, proactively track errors in your application, handle rate limits and reliability concerns with Helicone.

Mavvrik is an AI and hybrid infrastructure cost management platform that gives finance, FinOps, IT, and engineering teams one control center for GenAI, autonomous agents, GPUs, cloud, on-premises systems, Kubernetes, data platforms, and SaaS. It unifies cost, usage, and telemetry signals from AWS, Azure, Google Cloud, Oracle, VMware, NVIDIA, OpenAI, Anthropic, Gemini, Snowflake, Databricks, and LiteLLM, creating a single source of truth across the technology stack. Teams can track every model call, agent interaction, GPU hour, workload, service, and resource, then allocate spending by customer, product, feature, project, application, environment, team, or cost center. Cost-to-serve and unit-economics analysis reveal margin drains, expensive workloads, and the true cost of delivering each offering. Real-time anomaly detection and alerts identify usage before it becomes a budget surprise, while predictive forecasting helps organizations model cloud, GPU, and AI expenses.

Bifrost is a high-performance AI gateway that unifies access to 20+ providers OpenAI, Anthropic, AWS, Bedrock, Google Vertex, Azure, and more, through a unified API. Deploy in seconds with zero configuration and get automatic failover, load balancing, semantic caching, and enterprise-grade governance. In sustained benchmarks at 5,000 requests per second, Bifrost adds only 11 µs of overhead per request.

Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.

LLMetrics is LLM cost tracking software for teams shipping AI products, bringing model spend, token usage, feature attribution, and usage alerts into one live dashboard. It supports more than 100 models across OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together AI, Groq, and other providers, with pricing data synchronized daily. Teams tag each model call with a feature name, provider, model, input tokens, and output tokens, allowing them to see exactly whether a chatbot, summarizer, search feature, lesson generator, or other workflow is driving spend. Real-time updates and daily trend charts reveal how costs change after releases, prompt edits, traffic growth, or model swaps. Spend thresholds and spike-detection rules can alert teams through email or Slack when usage patterns look wrong, helping them catch runaway loops and unexpected cost increases before the provider invoice arrives.

Tokonomics is an AI cost metering proxy that sits between your app and any LLM provider. One URL change gives you real-time cost tracking, budget alerts, and hard spending caps across OpenAI, Anthropic, DeepSeek, Google Gemini, Mistral, Groq, and more. How it works: Replace your LLM base URL with Tokonomics, keep your existing code. Every API call is logged with token counts, cost (8-decimal USD precision), latency, and custom tags for per-team or per-feature attribution. Key features: - Budget alerts via email, Slack, or Teams at configurable thresholds - Hard spending caps that block requests when monthly budget is exceeded - Analytics dashboard with spend-by-model, daily trends, and cost optimization reports - BYOK (Bring Your Own Keys) with AES-256 encryption - Rate limiting per API key - Works with any language or HTTP client (PHP, Python, Node.js, Go, Ruby)

Waterfall is a credit infrastructure for platforms building on large language models, designed to turn AI usage into a business model without requiring teams to build their own billing stack. It gives each user, agent, or team a stablecoin-backed credit wallet, then meters every model call by provider, model, token count, and cost. Requests can be routed through the Waterfall Gateway or integrated through TypeScript and Python SDKs, with usage attributed to the correct wallet in real time. Each API call settles atomically against the wallet as it happens, so credits decrease, and revenue is recognized per request instead of through delayed invoices and manual reconciliation. Waterfall supports more than 300 models across providers such as OpenAI, Anthropic, DeepSeek, and xAI, allowing products to use multiple AI services while maintaining one accounting layer.

Keep track of your OpenAI usage and costs with AI Spend and never be surprised again. AI Spend offers user-friendly cost tracking with a dashboard and notifications that passively monitor your usage and costs. The analytics and charts provide insights that help you optimize your OpenAI usage and avoid billing surprises. Get daily, weekly, and monthly notifications with your spending. Discover which models and how many tokens you're using. Get clear insights into how much OpenAI is costing you.

Spendline is a hosted AI gateway and cost-management tool for software companies that offer AI features in their products. It routes model requests through a gateway and records usage and cost by customer and agent, helping engineering and finance teams compare AI spend with customer revenue. Teams can set nested budgets for companies, teams, agents, and customers; configure alerts and approval workflows; and apply rules to route requests to lower-cost models. Spendline also provides usage reporting and month-end checks that compare recorded usage with provider invoices. The service supports multiple model providers and offers controls for managing AI usage across customer-facing applications.

Scientific Figure Generator is an AI-powered web application built for researchers, scientists, students, and scientific teams. It turns plain-language research ideas into publication-ready scientific diagrams, graphical abstracts, research-paper figures, and technical illustrations in minutes. Users can choose line art, 3D render, or flat illustration styles, generate high-resolution 1K outputs, download PNG files, save figures to an account, and refine selected regions. The tool supports figures for manuscripts, posters, theses, presentations, experimental workflows, biological mechanisms, engineering diagrams, and multidisciplinary research communication. A free version is available, including an initial no-sign-up generation and a three-figure lifetime free allowance for registered users.

Finaxis automates accounts receivable workflow by offering smart reminders, multichannel follow-ups (email, SMS, voice), predictive payment scoring, and real-time cash visibility. It plugs directly into QuickBooks, Xero, Acomba, Sage 300, and NetSuite. It also support CRM connection like HubSpot and Salesforce to maximize personalization. CSV import for any other system. Designed for the Canadian market with bilingual French/English workflows and data hosted in Canada, supporting compliance with Quebec's Law 25 and PIPEDA. Used by finance teams at professional services firms, SaaS companies, consulting, and staffing businesses It acts as a virtual AR employee, an AI Copilot that learns how each of your customers actually pays.

Copilot 3D is an experimental, AI-powered tool available in Microsoft’s Copilot Labs that enables users to convert a single 2D photo (JPG or PNG, max 10 MB) into a fully rendered 3D model (GLB format) without any prior experience. Designed for creative simplicity, it makes 3D generation accessible, requiring only an image upload and returning a downloadable 3D output. The tool is globally available at no extra cost to anyone with a personal Microsoft account, and the resulting models support applications like game design, animation, 3D printing, virtual and augmented reality, as well as digital content creation. While Copilot 3D excels at rendering common inanimate objects, like furniture or everyday items, it often performs poorly with complex subjects such as animals or human figures. The system includes guardrails that prevent the modeling of copyrighted or sensitive imagery, and it stores creations for 28 days.

PatentAssist.ai is a browser-based AI workspace for patent professionals, in-house IP teams, startups and inventors. It turns invention disclosures into claim sets first, then drafts complete or provisional patent specifications, abstracts and figure descriptions in USPTO, EPO, DPMA and IP India formats. Users can review and edit drafts with an AI copilot and export to DOCX. The platform searches more than 20 million US, European and Indian patent records using natural-language and field queries, and prepares patentability search reports. Its drawing tool builds figures and reference numerals from claims and generates patent illustrations. Patent search is available without an account; drafting plans include a seven-day trial. The interface supports English, German, Spanish and French. Customer invention content is not used to train models, and AI processing runs through Azure OpenAI in EU regions.

Microsoft’s Copilot Checkout and Brand Agents are new AI-driven commerce capabilities designed to shorten the path from browsing to buying by letting customers discover, compare, and complete purchases without leaving an AI conversation while keeping merchants in control of the transaction and customer relationship. Copilot Checkout embeds a fully conversational shopping and payment flow into Microsoft’s Copilot AI experience, so shoppers can ask about products, get recommendations, compare options, and check out right inside the chat interface with no redirects or friction, and merchants stay the merchant of record while orders are processed through partners like PayPal, Shopify, and Stripe. Brand Agents are AI-powered shopping assistants that merchants deploy on their own sites (initially via Shopify and Microsoft Clarity) to provide brand-specific conversational guidance, answer customer questions in the brand’s voice, and help visitors explore inventory, handle objections, etc.

Balance your key initiatives across the 3 Planning Horizons. Manage your initiatives through the evaluation, prioritisation and approval cycle. Agree costs and benefits, relative to your goals. Build your Implementation Roadmap. Map your initiatives against your goals to confirm alignment and completeness. Test your initiatives against your scenarios for robustness. Personal Calendar and Actions: see all your meetings and actions across all your projects. Calendar Integrations, add strategy meetings from StratNavApp.com to your calendar, Google Calendar, iCal for Outlook, Web Clipper: Bookmarklet for snipping content from the web (first 3 months only). File Vault: upload and link files and images where they belong. Includes Microsoft SharePoint integration. API integrations: connect your existing systems to StratNavApp.com. MSWord Reports: generate reports at the click of a button.

Formis is construction project management software for running the core of the job: RFIs, submittals, transmittals, document control, and approvals. It is built for general contractors who need to run the project without an enterprise platform or a six-figure implementation. A self-serve form builder and workflow engine let a project manager build the forms, set the routing and approval steps, and edit notifications, without a consultant, on workflows you configure yourself. Formis keeps one system of record: a document register with versions and revisions, and transmittals with acknowledgement tracking. Send transmittals to external partners without a paid seat. When an answer is already in your indexed project documents, Formis AI can surface it, cited to the sheet and page, before an RFI is submitted. It assists your team and does not replace your Engineer of Record. Pricing is seat-based, transparent, and published, with no setup fee.

Launch production-ready apps with the LMOps stack for monitoring, model management, and more. Replace your OpenAI or other provider APIs with the Portkey endpoint. Manage prompts, engines, parameters, and versions in Portkey. Switch, test, and upgrade models with confidence! View your app performance & user level aggregate metics to optimise usage and API costs Keep your user data secure from attacks and inadvertent exposure. Get proactive alerts when things go bad. A/B test your models in the real world and deploy the best performers. We built apps on top of LLM APIs for the past 2 and a half years and realised that while building a PoC took a weekend, taking it to production & managing it was a pain! We're building Portkey to help you succeed in deploying large language models APIs in your applications. Regardless of you trying Portkey, we're always happy to help!

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. Find unused Microsoft 365 licences before renewal, with a warning 30 days ahead. See who changed a setting in Entra ID, Intune, Exchange Online, Teams, SharePoint, Windows 365, Defender or Purview, and put back just that setting. See the AI apps in your tenant and who let them in, and check Microsoft 365 Copilot readiness. MSPs see every customer tenant in one partner portal. Scans are read-only and metadata-only. £0.79 per licensed user a month, no add-ons. 14-day free trial (card required). Also on Microsoft Marketplace.

​LiteLLM is a versatile platform designed to streamline interactions with over 100 Large Language Models (LLMs) through a unified interface. It offers both a Proxy Server (LLM Gateway) and a Python SDK, enabling developers to integrate various LLMs seamlessly into their applications. The Proxy Server facilitates centralized management, allowing for load balancing, cost tracking across projects, and consistent input/output formatting compatible with OpenAI standards. This setup supports multiple providers. It ensures robust observability by generating unique call IDs for each request, aiding in precise tracking and logging across systems. Developers can leverage pre-defined callbacks to log data using various tools. For enterprise users, LiteLLM offers advanced features like Single Sign-On (SSO), user management, and professional support through dedicated channels like Discord and Slack.

Current RMS is a cloud-based rental management software solution for the AV, lighting, broadcast, production and event sectors. Within a single, unified system, businesses can easily manage the full rental lifecycle, from the initial inquiry through to invoicing, using powerful tools for quote generation, inventory management, online quote approval, customer relationship management, and more. Using a drag-and-drop editor and built-in document templates, Current RMS can generate quotes, proposals, invoices, and rental agreements. Plus, it seamlessly integrates with Xero and QuickBooks Online.

Stop wasting your time figuring out when all are available. Schedule meetings with Scedule. Because it can quickly provide date proposals that suit you and everybody invited. Appointments with colleagues and partners are not found in seconds. Really? Try Scedule! It quickly identifies the most suitable dates and professionally involves every attendee. A smart algorithm identifies best times to meet reflecting everybody invited, without sharing calendars. Schedule integrates workplaces and meeting rooms from your groupware and ensures required booking. Instead of manually initiating services or follow-ups, Scedule automates your meeting workflows.

Alder is the AI employee for accounts receivable. Most late B2B invoices aren't refusals. They're stuck behind a stalled approval, a rejected AP portal submission, a missing PO number, a short-pay, or an AP contact who left. Alder finds out which, and clears it. Collections: follows up in the original email thread with the person who actually releases payment, and tracks every promise to pay. AP portals: submits invoices to Coupa, Ariba and custom customer portals, and fixes rejections, missing POs and changed AP contacts. Disputes and short-pays: researches each one and assembles the supporting evidence. Alder works on the systems finance teams already use: Gmail, Outlook, Teams, Slack, NetSuite, SAP, QuickBooks, Stripe, Coupa, Brex, Mercury, Chase and Plaid. The finance team stays in control. Alder was founded in 2025 by former Uber engineers, is based in San Francisco, and is backed by Y Combinator.

Compleat is a purchasing and accounts payable automation platform that helps businesses automate procurement, invoice capture, approvals, payments, and purchase-to-pay workflows. The software is designed for SMEs and supports modular use, allowing companies to start with invoice capture, AP automation, purchasing automation, or a complete purchase-to-pay process. Compleat captures invoice data, validates supplier bank details, checks for duplicates, automates GL coding, manages approvals, sends reminders, and provides real-time invoice and payment status updates. Its purchasing automation tools help employees buy from preferred suppliers, generate purchase requests, control spend, and reduce costs on everyday business purchases. The platform integrates with major accounting, ERP, and supplier websites, including Xero, QuickBooks, Sage, Oracle NetSuite, Microsoft Dynamics, SAP, Amazon Business, Staples, Office Depot, and many others.

Cademy is a training management system (TMS) for professional training providers, awarding bodies, associations and in-house academies. It brings course registrations and bookings, scheduling, a training CRM, invoicing and a learning management system (LMS) into one platform for in-person, live online, on-demand and blended courses. Take course registrations and bookings from individuals, groups and employers on your own website or a branded booking site, with card, PayPal, Klarna or invoice payments, waitlists, discounts and memberships. Schedule sessions, trainers and venues, record attendance and sync with Google or Outlook Calendar. Keep every learner, customer and organisation on one training CRM record. Deliver online lessons, quizzes and SCORM courses, and issue certificates with CPD and expiry dates automatically. Integrates with Stripe, PayPal, Klarna, Xero, Zoom, HubSpot, Salesforce, NetSuite, Zapier and WordPress.

SalesRepFielder is commission software for QuickBooks Online: reads your invoices and the migrated sales-rep field, applies your commission rules, produces per-rep statements, and posts the journal entry into your books. Built for bookkeepers, accounting firms, and small businesses on QBO. THE PROBLEM. QuickBooks Online has no Sales by Rep report. If you migrated from Desktop, the converter carried your REP field over as a custom-field dropdown — initials only, unlinked from any employee record. The standard fix is a monthly commission spreadsheet almost no one audits. WHAT IT DOES. SalesRepFielder connects to QuickBooks Online and reads invoices, sales receipts, payments, credit memos, and refund receipts — including the migrated rep custom field. Commission plans run as explicit rules: flat, tiered, per-deal rate lookup, margin-based, quotas and attainment, bonuses, SPIFF windows, splits, pools, manager overrides, caps, clawbacks.

CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and SaaS Security platform that gives enterprises one command center to discover, secure, govern, and optimize their entire SaaS and AI stack, including AI usage control and both human and non-human identities. CloudEagle governs applications, identities, and non-human identities (service accounts, bots, API keys, AI agents) continuously, rationalizing redundant tools and tracking security posture against frameworks like NIST 800. Onboarding takes 30 minutes; savings and governance start day one. To date: $50B+ in spend processed, $3B+ saved. With 500+ integrations, CloudEagle eliminates shadow SaaS and AI, enforces AI usage policies, and secures non-human identities. Slack-enabled, no-code workflows automate onboarding/offboarding, access reviews, license harvesting, and just-in-time access, while an autonomous agent triggers renewals and routes approvals through Slack, Jira, or ServiceNow.

AICostGuardian is an enterprise AI cost management platform that helps organizations track, optimize, and control spending across 25+ AI providers from one unified dashboard. It monitors every API call with millisecond precision, calculates cost instantly, and combines provider usage into cross-platform analytics, automated reports, forecasts, and dashboards. Teams can analyze spending trends, compare usage, identify optimization opportunities, and use machine-learning insights and smart recommendations to reduce unnecessary AI expenses. Predictive alerts and anomaly detection warn users about unusual usage spikes and approaching budget overruns, while configurable spending limits help keep consumption under control. Department-level cost allocation, team analytics, granular permissions, and role-based access make it easier to understand ownership and govern AI use across an organization.

Flexera One is a SaaS platform designed to optimize IT spend, compliance, and risk management across complex hybrid IT environments. It unifies visibility and control of hardware, software, SaaS, and cloud assets, leveraging data from the Technology Intelligence Platform and Technopedia®. By delivering actionable insights, Flexera One helps organizations reduce costs, improve security, and meet sustainability goals. It strengthens vendor negotiations through intelligent analytics and ensures compliance with regulatory requirements. The platform supports IT asset management, SaaS management, FinOps, and cloud cost optimization in a single solution. Flexera One empowers businesses to drive AI-powered digital transformation and operational efficiency.

FirstHelm is a control plane for AI agents. It sits between your agent fleet — n8n, OpenAI, Anthropic, CrewAI, LangChain, Microsoft Copilot Studio, or any custom agent via REST API — and the rest of the world, deciding what each agent is allowed to do, not just showing what it did. Every action is logged and checked in flight against your rules: budget caps, blocked actions, and per-mission cost and token visibility. Expensive, risky or irreversible actions are held for human approval, and unanswered approvals expire safely — silence is not consent. Live dashboards let you steer agents mid-mission, and FirstHelm generates audit trails and compliance exports mapped to the EU AI Act, ISO 42001, SOC 2, UK GDPR, NIST AI RMF and FCA expectations — 38 controls, scored live from your own data. Freemium, framework-agnostic, UK-built.

Control your costs and reduce the risk of overspending across all your clouds with a single, unified view. No matter the size and complexity of your Cloud Infrastructure. Improve the return on your cloud investment with intelligent recommendations and the industry’s best practices tailored to your business. Take advantage of smart rightsizing recommendations to ensure the most cost-effective resources utilization. Discover your consumption patterns and invest in reserved instances to get volume discounts and maximize savings. Automate your cloud policy management to control costs, optimize performance, and achieve continuous cost optimization. Drive cost accountability to resources consumers by creating custom policies and applying automated actions.

Cost Reports are easy to use dashboards that provide complex reporting and filtering for accrued costs. Set filters to see day-to-day cost trends per service, business unit, tag or account. Chain complex logic to cover any reporting use case. Forecasts have confidence intervals that will adjust every day as your infrastructure changes to help you understand where you will end up. Get notified in Slack, Teams, or by email on a daily, weekly, or monthly basis about costs and trends. Receive alerts for cost anomalies. Autopilot analyzes your EC2 workloads and purchases 3 year, no-upfront reserved instances to save you money. Control which compute categories or regions Autopilot manages. Manage commitment and infrastructure changes with ease.

TokenAtlas is an AI FinOps and cost intelligence platform that helps teams understand, forecast, and optimize AI costs before they become expensive. Users describe a workload by entering the model, input and output token volumes, request counts, and growth assumptions, and TokenAtlas prices the scenario against a maintained catalog of published API rates. The cost modelling dashboard brings configured workloads into one view, while model comparison places provider and model options side by side using transparent assumptions. What-if scenario planning shows the cost impact of launching a new prompt, agent, model swap, retrieval pipeline, or traffic increase before it reaches production. Cost risk analysis identifies the workloads most sensitive to changes in volume, prompt size, or model choice, and benchmark comparisons show how a modeled model mix compares with typical AI product and infrastructure profiles.

Finout combines Cloud Providers, Data Warehouses, and CDNs into one mega bill, enabling an unparalleled business context view of your cloud spend with no heavy lifting in minutes. Monitor anomalies, view recommendations and forecast cost per growth. While AWS charges you by the instance, you genuinely care about your pod cost. With no-agent integration, utilize your existing Datadog or Prometheus to get a pod-level granularity of your spend in minutes. Forget about absolute cloud cost. See the cost of what you are utilizing and not only what you are paying for. For example, view Kubernetes pods instead of EC2 instances and DynamoDB indexes. Finout can give you one unified language the entire company can talk in, not only DevOps.

ZenLLM is an AI cost optimization platform for engineering teams running LLM applications in production. It connects provider invoices to the application behavior behind them, showing which prompts, workflows, models, customers, retries, and request paths are driving spend. Teams send request-level telemetry through the ZenLLM SDK and can attach business context such as workflow, owner, customer, team, or product feature without storing prompt or response content. It monitors token usage, model selection, latency, errors, retries, and cost, then surfaces the waste patterns hidden by aggregate provider dashboards. It detects context accumulation when conversations or agents resend growing histories, premium-model overuse on low-risk work, retry loops that repeat expensive context, stale system prompts, routing mistakes, anomalies, and weak cost ownership.

We give engineering, finance, and FinOps teams a single platform to track, attribute, and optimise LLM API spend across every provider. Costs are broken down by dimensions you define, matching how your business already reports its financials. Engineering teams get frictionless cost tracking without slowing anything down. CTOs get a single pane of glass to enforce model governance and prevent shadow usage. CFOs get finance-grade reporting for forecasting, budgeting, and chargebacks, attributed using their own reporting structure. FinOps teams get real-time, multi-provider cost data that slots straight into the workflows they already run for cloud. If your organisation uses LLM APIs and the board is asking "what are we spending and why?" we're the answer.

Reveal hidden cloud waste and drive continuous cost efficiency across your entire infrastructure. Equip your team with actionable analytics and encourage their commitment to continuous cost optimization. PointFive reaches further into your cloud architecture to find novel savings opportunities. Insights in the context of your business give you the full picture at a glance, and step-by-step remediation workflows make implementation a snap. Provide stakeholders with tailored views and build a culture of shared accountability across your FinOps and engineering teams. Our research team continuously enhances our detection algorithms, enabling them to generate novel recommendations that enhance cost efficiency and performance. Continuous resource scanning detects issues before they drain your budget. Mine your complete cloud architecture and k8s environments for untapped savings. Expansive coverage ensures your team optimizes across all your resources and services.