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Ratings and Reviews 0 Ratings
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What is Solvas Digitize?
Solvas Digitize is a powerful document intelligence platform that solves one of the biggest challenges in financial operations: extracting clean, accurate data from complex, inconsistent, and high-volume documents. As organizations scale and documentation grows in volume and variety, manual data processing becomes costly, slow, and prone to error — and Solvas Digitize directly addresses this problem. Its automated pipeline handles receipt, extraction, validation, and reconciliation, allowing firms to fully manage critical document workflows in one place. The platform’s decision-tree logic identifies incomplete or mismatched data early, helping teams fix issues before they impact reporting or analysis. Solvas Digitize supports all major document types, including investor statements, capital calls, distribution notices, contracts, spreadsheets, and emails. It delivers accuracy levels above industry standards, dramatically reducing the time spent on review and manual cleanup. As a managed service, it gives organizations access to expert support and advanced automation without needing to build or maintain internal systems. CTOs gain a scalable way to leverage AI for document processing, while COOs reduce operational drag and improve efficiency across reconciliation, portfolio reporting, and compliance workflows. Normalized data outputs integrate seamlessly into downstream systems, accelerating decision-making across accounting, portfolio management, and regulatory processes. With high configurability, real-time visibility, and reliable extraction results, Solvas Digitize helps organizations convert documentation complexity into operational advantage.
What is Extract Systems ?
Our sophisticated document management system provides automated solutions for extraction, redaction, classification, and indexing, specifically designed for various industries. The Extract platform efficiently manages incoming unstructured documents without disruption. With our flexible framework, we can either extract or redact critical information and ensure both the data and original documents are sent to their appropriate destinations. By leveraging Optical Character Recognition (OCR) technology alongside tailored rules specific to your business, the Extract Systems Platform triggers the necessary extraction or redaction processes. Our intelligent software guarantees that data and original documents are swiftly routed to your chosen endpoints. This streamlined workflow not only reduces the time needed for manual data input but also decreases the likelihood of human errors often seen in such processes, thereby speeding up the access to essential discrete data. This improvement enables you to share, compare, report, and analyze information effortlessly. In the end, our platform enables organizations to refine their document management practices and boosts overall efficiency, providing them with a significant competitive edge in their respective markets. Additionally, our commitment to continuous improvement ensures that we stay ahead of industry trends and evolving client needs.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Alter Domus Data Solutions Inc.
Company Location
United States
Company Website
www.solvassolutions.com/solvas-digitize/
Company Facts
Organization Name
Extract Systems
Date Founded
1998
Company Location
United States
Company Website
www.extractsystems.com
Categories and Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Categories and Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Government
Budgeting & Forecasting
Code Enforcement
Compliance Management
Fixed Asset Management
Inventory Management
License Issuance
Permit Issuance
Purchasing & Receiving
Self Service Portal
Taxation & Assessment
Utility Billing
Work Order Management
Hospital Management
Accounting Integration
Appointment Management
Appointment Scheduling
Bed Management
Billing & Invoicing
Claims Management
In-Patient Management
Inventory Management
Medical Billing
Out-Patient Management
Patient Records Management
Physician Management
Policy Management
Revenue Management
Legal Document Management
Access Controls
Archiving & Retention
Collaboration
Contract Management
Document Assembly
Document Indexing
Document Tagging
Full Text Search
Version Control
Order Entry
Back Order Management
Customer Database
Inventory Management
Order Fulfillment
Order Management
Real Time Order Entry
Remote Order Entry
Shipping Management
Warehouse Management
Workflow Management
Access Controls/Permissions
Approval Process Control
Business Process Automation
Calendar Management
Compliance Tracking
Configurable Workflow
Customizable Dashboard
Document Management
Forms Management
Graphical Workflow Editor
Mobile Access
No-Code
Task Management
Third Party Integrations
Workflow Configuration