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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Maxima is an advanced AI-driven platform designed for accounting and financial close automation, aiming to revolutionize enterprise record-to-report processes by taking on the most tedious and error-prone activities such as journal entry creation, reconciliations, transaction matching, variance analysis, and overall close operations while ensuring human oversight and adherence to compliance standards like SOX. Its intelligent AI agents gather data from various systems, create a cohesive financial context using an Enterprise Finance Graph, produce logic-based journal entries at scale, ensure real-time validation of the general ledger's accuracy, and offer comprehensive evidence and audit trails, enabling accounting teams to focus more on review rather than on the manual preparation of tasks. Maxima seamlessly integrates with existing ERP systems by automatically posting entries and consolidating various tasks, reconciliations, and reporting into a unified platform that not only streamlines the close process—cutting down the time needed by several days—but also eliminates repetitive tasks, achieving a high level of automation coverage that enhances overall efficiency in financial operations. This innovative approach empowers financial teams to work smarter and allocate their time to more strategic activities, ultimately driving better decision-making within organizations.

Description

Stacks is an innovative platform that leverages AI to streamline financial closing and automate accounting processes, empowering finance teams to achieve month-end tasks with enhanced speed and precision. By unifying financial operations into one cohesive workspace, it allows organizations to automate key functions such as reconciliations, journal entries, variance analysis, and reporting, all while maintaining full integration with their ERP systems. Its agentic AI capabilities enable the platform to learn from both accounting data and team interactions, facilitating automatic transaction matching, discrepancy identification, and explanation generation within a secure and auditable framework. Additionally, teams benefit from real-time insights into their responsibilities, timelines, and financial patterns via dashboards that monitor progress and identify potential risks prior to their escalation. Designed to minimize reliance on manual spreadsheets and disjointed processes, Stacks consolidates data across various entities and currencies, ensuring robust governance and traceability are upheld throughout. This comprehensive approach not only enhances efficiency but also fosters a more organized financial environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ADP DataCloud
Charles Schwab
Google Drive
Google Sheets
Microsoft Excel
Microsoft OneDrive
NetSuite
Oracle Fusion Cloud ERP
SAP Cloud Platform
Salesforce
Silicon Valley Bank (SVB)
Snowflake
Stripe
Workday HCM

Integrations

ADP DataCloud
Charles Schwab
Google Drive
Google Sheets
Microsoft Excel
Microsoft OneDrive
NetSuite
Oracle Fusion Cloud ERP
SAP Cloud Platform
Salesforce
Silicon Valley Bank (SVB)
Snowflake
Stripe
Workday HCM

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Maxima

Founded

2024

Country

United States

Website

www.maxima.ai/

Vendor Details

Company Name

Stacks

Country

United Kingdom

Website

stacks.ai/

Alternatives

Alternatives

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