Company profile
Stacks
Agentic AI platform for enterprise finance teams to automate financial close.
- Category
- Fintech AI
- Headquarters
- London
- Sells to
- Enterprise
- Business model
- SaaS subscription
- Deployment
- Cloud / SaaS
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- Tabular, Text
What Stacks does
Stacks is an agentic platform designed for enterprise finance teams to automate and streamline the financial close process. It sits natively on top of ERP systems, utilizing AI agents to reconcile, analyze, and explain financial data in real-time. The platform includes a comprehensive data layer that unifies siloed systems into a single source of truth. Stacks helps finance teams at globally operating public and private enterprises manage complex, high-volume, multi-entity, and multi-currency close operations with strict control and audit requirements. It aims to cut close cycles by 50-60%, reducing manual work and enabling teams to focus on strategic initiatives. Stacks is reinventing finance operations by transforming the Office of the CFO into a strategic powerhouse through agentic AI.
Products
- StacksAn agentic platform for enterprise finance teams that automates the financial close process, including reconciliations, journal entries, intercompany transactions, accounts receivable, reporting, and compliance.
- Payment ApplicationA feature within Stacks that uses AI agents to extract remittance data from any source, match payments to open invoices, and post to the ERP, aiming to apply cash in minutes instead of days.
- Stacks Excel AssistantA tool that simplifies manual journal uploads and provides real-time error deduction, connecting journals to tasks within the Stacks Workspace.
- Synched SheetsA function that allows users to refresh key financial reports in seconds by pulling data directly from ERPs into Excel.
- Stacks WorkspaceA centralized platform for close management that establishes clear roles, responsibilities, preparer-reviewer approval workflows, and visibility into close status, ensuring control and audit readiness.
Key capabilities
- AI agents for reconciliation, analysis, and explanation of financial data
- Comprehensive data layer unifying siloed systems
- Automated reconciliation matching across subledgers, bank feeds, and GL
- Automated journal entry preparation and posting to ERP
- Intercompany balance matching, netting, and elimination
- Automated accounts receivable and cash application (payment matching, remittance extraction)
- Automated reporting and variance analysis with audit-ready commentary
- Compliance and audit features (anomaly surfacing, segregation of duties, complete audit trail)
- Faster financial close cycles
- Quicker audit cycles with enforced segregation of duties and audit trails
- Enterprise-grade security and control (SOC II Type II, ISO 27001:2022, GDPR Compliant, SOX-Ready Controls, SAML-based SSO)
- Continuous learning AI agent for improved match rates
- Extraction of remittance data from various sources (PDFs, emails, EDI, portal exports, scanned check stubs)
- Auto-matching of payments to invoices, including complex cases
- Exception routing with context and suggested resolutions
- Automated follow-up for overdue balances
- Integration with multiple ERPs, data lakes, file storage, and BI solutions
- Preparer-reviewer approval workflows
- Centralized documentation and audit trail
Use cases
- Automating manual financial close tasks
- Reducing financial close cycle time
- Improving accuracy and efficiency of reconciliations
- Streamlining intercompany transactions and consolidation
- Accelerating accounts receivable and cash application processes
- Enhancing financial reporting and analysis
- Ensuring compliance and audit readiness
- Managing high-volume, multi-entity, multi-currency close operations
- Automating journal entries
- Centralizing close tasks and workflows
- Providing real-time visibility into close progress
- Reducing unapplied cash and improving cash position accuracy
AI approach
Stacks uses AI agents to reconcile, analyze, and explain financial data in real time, sitting natively on top of ERPs. The AI learns from corrections and payment patterns, improving match rates over time. It extracts remittance data from various sources, matches payments to invoices, and resolves exceptions. The platform also uses AI-driven reconciliation engines for bank statement matches and automates journal entries and account reconciliations.
Tech named: AI agents, AI-driven reconciliation engine, Agentic workflows
Industries served
- Software Development
- Fintech
- E-commerce
- Music Licensing
- Automotive Marketplace
What it says sets it apart
- Agentic AI platform that learns and improves over time, unlike rules-based systems
- Natively sits on top of ERP systems
- Unifies siloed systems into a single source of truth
- Designed for complex, high-volume, multi-entity, and multi-currency operations
- Focus on turning finance into a strategic powerhouse rather than a cost center
- Automates repetitive tasks to free up finance teams for strategic work
- Comprehensive security and compliance built-in (SOC II Type II, ISO 27001:2022, GDPR, SOX-Ready, SAML SSO)
- Seamless integration with a wide range of ERPs and financial systems
- Ability to handle messy and complex payment matching scenarios that other tools cannot
- Proactive exception management with context and suggested resolutions
- Continuous payment matching and posting, not batched at month-end
- Eliminates manual rule management for AI-driven matching
- Provides a clear audit trail and enforces segregation of duties throughout the close process
Funding rounds we track
Lightspeed Venture Partners
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Stacks's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.