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What is Numeric?

Numeric equips teams with the tools needed to streamline their closing procedures, enhance reconciliation processes, and leverage AI for swift flux analysis and reporting. By consolidating and refining the month-end closing process, teams can harness the power of recurring workflows and collaborative resources. Crafted for efficiency, Numeric allows users to work at a faster pace than ever before. Elevate your month-end closing practices with automated solutions and processes that focus on both efficiency and oversight. Manage all elements of your close seamlessly from one centralized interface, which includes journal entries, reconciliations, flux analysis, review notes, tasks, and subtasks. You have the ability to set up recurring tasks at various intervals—be it monthly, quarterly, annually, or tailored to your specific needs—ensuring that your checklist is always relevant. Comments can be easily accessed and addressed, while updates and reviews can be managed from a single platform. Moreover, you can utilize rich-text procedures and pinned links to thoroughly document every aspect, gathering all essential information in one accessible location. This all-encompassing strategy not only improves organizational efficiency but also encourages better communication and collaboration among team members, ultimately leading to a more effective closing process. Team members can easily track progress and share insights, making the entire workflow more transparent and manageable.

What is LedgerSight?

LedgerSight is a cutting-edge application designed to use AI for improving financial operations within teams that operate in regulated or sensitive environments. It combines financial and operational data to streamline essential tasks such as reconciling bank statements and accounts receivable, scrutinizing accounts payable exceptions, prioritizing collections, cash allocation, conducting financial-close checks, and analyzing recurring exceptions. The software is particularly adept at matching transactions, detecting inconsistencies, and offering actionable next steps, all while providing pertinent context for each situation. Reviewers have the capability to assess the suggested recommendations against predefined policies and approval thresholds, which allows them to either approve or override the suggestions made by the application. Furthermore, LedgerSight carefully documents all relevant source context, recommendations, policy guidelines, decisions made, and follow-up actions via its CloudSeals Evidence Fabric. Instead of replacing existing financial systems, it serves as a complementary tool that integrates effortlessly, refraining from autonomously posting ledger entries or executing payments. This harmonious integration guarantees that teams can boost their operational efficiency while maintaining their established workflows, ultimately leading to a more streamlined finance operation. In this way, LedgerSight not only enhances productivity but also reinforces compliance within financial processes.

Media

Media

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Integrations Supported

Airbyte
AngelList
Betterment
Box
Cisco Duo
Clearbit
Google Drive
Google Sheets
Heap
Mercury
Metropolis
Microsoft Excel
OneLogin
Plaid
Public
Slack
Stash
Wealthfront
Xero
Zip

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Numeric

Company Location

United States

Company Website

www.numeric.io

Company Facts

Organization Name

CloudSeals

Date Founded

2019

Company Location

United Kingdom

Company Website

cloudseals.com

Categories and Features

AI Finance

Not specified

Financial Close

Not specified

Reconciliation

Not specified

Categories and Features

AI Finance

Not specified

Reconciliation

Not specified

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