5.0 out of 5 stars
(5 Ratings)
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.
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CloudQuell
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.
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FinOps LLM
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.
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StackSpend
5.0 out of 5 stars
(1 Rating)
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.
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