Press Release
PlatON 2.0 Established A Decentralized Collaborative Privacy Artificial Intelligence Network
PlatON, a next-generation Internet infrastructure protocol based on the fundamental properties of blockchain, recently combined blockchain, artificial intelligence and privacy computing technology to establish a decentralized collaborative privacy artificial intelligence network, which would take utilization of data to a new level. This network will serve as the infrastructure of autonomous artificial intelligence (AI) agents, who can facilitate advanced artificial intelligence and explore the road to Artificial General Intelligence.
Based on blockchain network, PlatON developers designed a decentralized privacy computing network to connect data, algorithms and hashrate through privacy computing protocols. Autonomous AI agents can obtain the required resources at low cost, train artificial intelligence models and publish them on the network, and interact with other artificial intelligence services or agents to form a self-organizing and cooperative artificial intelligence network. On this network, anyone can obtain artificial intelligence technology or become a stakeholder in its development, and realize the autonomy of artificial intelligence. In addition to practical artificial intelligence services, PlatON aims to use self-organizing swarm intelligence to create a whole larger than the sum of its parts, and advance towards realizing the vision of Artificial General Intelligence.
According to developers, PlatON 2.0 is actively applying research results to new fields such as finance, medicine, smart cities and Internet of Things applications. PlatON, as an AI infrastructure, provides a trustworthy data collaboration environment for hospitals, pharmaceutical enterprises, as well as scientific research institutions, etc. It links activities, research areas, operation modes and data streams of different types and fields to form a large-scale data aggregation effect and maximize the value of medical datasets, including clinical trials, medications, electronic health records, and patients’ genomic data, etc. to form a data analysis and mining system for many technical means, such as pharmacogenomics, disease histology, network pharmacology, and protein structure simulation, so as to speed up the discovery and development of new drugs.
In smart cities, PlatON 2.0 intelligent mobile solutions can be provided in commercial real estate in the city center by using multi-agent artificial intelligence digital services based on blockchain. Using artificial intelligence agents can optimize resource use and reduce the carbon footprint of cities. We predict that the large-scale implementation of smart city infrastructure will lead to a reduction of 34,000 tons of carbon dioxide emissions every year.
Through privacy computing technology, operators, Internet platforms, insurance institutions and other multi-party data open more risk-controlled private domain data labels to cooperate with banks in a confidential way to support financial risk control business. To mitigate the comprehensive credit risk of customers, PlatON 2.0 does not disclose either party’s customer ID and private domain data information, forming a risk joint prevention and control ecology.
About the Company
PlatON 2.0 A new paradigm of intelligence and privacy security in the digital age.
To To know more, visit https://platon.network/en
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
FinancialDataExtractionTool.com Introduces New Software for Financial Data Extraction
FinancialDataExtractionTool.com has launched a new AI-powered platform designed to help businesses automate the extraction of structured data from financial documents. The software is intended to support finance and operations teams that need a more efficient way to move information from incoming records into spreadsheets and downstream systems.
South Carolina, United States, 1st Apr 2026 – https://www.financialdataextractiontool.com recently announced the launch of its new document processing platform, a software solution developed to help organizations extract structured data from financial records through AI.
The release is aimed at a persistent challenge in finance operations: many of the documents that carry essential business information still arrive in formats that are difficult to use directly. Invoices, bank statements, financial reports, tax forms, and balance sheets may already be digital, but that does not mean the information inside them is ready for analysis, reconciliation, or system input. In many cases, finance teams still spend valuable time locating, reviewing, and re-entering key data before it can move further through the organization.
FinancialDataExtractionTool.com was developed around that operational gap. According to the company, the platform is designed to interpret the structure of financial documents and convert their contents into organized, spreadsheet-ready output without requiring manual template setup or document-by-document configuration. The software is intended to work across a wide range of financial records, including files received as PDFs, scans, photos, faxes, and handwritten documents.
The company says the platform was built not only to recognize text, but to identify the underlying financial structure of a document. In practice, that means helping teams work with totals, dates, account details, line items, and related values in a way that preserves their business context once extracted. FinancialDataExtractionTool.com is positioning its software as a tool for organizations that want to reduce the manual effort surrounding document intake while making extracted financial information easier to use in spreadsheets, reconciliation pipelines, and ERP workflows.
The launch reflects a broader shift in how finance departments are approaching document operations. As organizations continue to automate more of their back-office processes, attention is increasingly turning to the flow of information entering the business through documents. The company says this is where many automation efforts still slow down, particularly when teams are working across mixed formats and inconsistent layouts that do not lend themselves to fixed extraction rules.
FinancialDataExtractionTool.com also states that the platform is SOC 2 Type 2 certified and HIPAA compliant, uses AES-256 encryption for data at rest, protects data in transit with TLS 1.2 or higher, does not use customer files to train AI models, and deletes processed documents within 24 hours. According to the company, these measures are intended to support organizations that require stronger standards around privacy, security, and handling when processing sensitive financial information.
One user described the impact by saying that after evaluating multiple extraction tools, the team adopted a workflow that could handle financial documents across varied formats without the overhead of maintaining templates or training models. The company says this reflects growing demand for systems that can support automation in finance without adding new layers of configuration.
About FinancialDataExtractionTool.com
FinancialDataExtractionTool.com aims to help businesses extract structured data from financial documents easily using AI. The platform is designed to support automated document processing across finance and operations workflows by turning incoming records into usable spreadsheet and system-ready data.
Media Contact
Organization: FinancialDataExtractionTool.com
Contact Person: Grace Cooper
Website: https://www.financialdataextractiontool.com/
Email: Send Email
State: South Carolina
Country:United States
Release id:43454
The post FinancialDataExtractionTool.com Introduces New Software for Financial Data Extraction appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
ScantoExcel.co Launches New AI Platform for Converting Scans to Excel
ScantoExcel.co has launched a new AI-powered platform that converts scanned documents into structured Excel files. The software is designed to help businesses reduce manual data entry by extracting tabular data from paper records, scanned files, and document images without template setup.
Maryland, United States, 1st Apr 2026 – ScantoExcel.co recently announced the launch of its document processing software built to convert scanned documents into structured Excel outputs using AI OCR.
The platform was developed for businesses and teams that still rely on spreadsheets to manage information originally captured in paper documents, scanned records, and image-based files. In many organizations, this work is still handled through manual entry or traditional OCR systems that require fixed templates and repeated adjustments. ScantoExcel.co is intended to offer a more flexible approach by reading both text and table structures directly from scanned inputs and transforming them into spreadsheet-ready data.
The software supports a range of common business records, including invoices, receipts, faxed documents, and other scanned materials that need to be transferred into Excel for review, reporting, or downstream processing. According to the company, the system can work with files produced by scanners, multifunction printers, and mobile devices, including documents that lack an embedded text layer.
A central focus of the launch is reducing the operational burden created by document-heavy workflows. Many finance, operations, and administrative teams continue to spend significant time rekeying information from scanned files into spreadsheets, particularly when dealing with older records or inconsistent layouts. ScantoExcel.co is positioned as a tool for organizations seeking to move those processes into a more automated workflow without requiring per-document configuration.
The company also stated that the software was designed to perform under conditions that often make scanned documents difficult to process, such as faded print, skewed pages, low-resolution scans, and uneven lighting. By addressing these common quality issues at the extraction stage, the platform aims to make digitization more practical for businesses working with real-world documents rather than ideal source files.
ScantoExcel.co said the platform includes security controls intended for organizations handling sensitive information. The company states that it is SOC 2 Type 2 certified, uses encryption for data in transit and at rest, and does not use customer files to train AI models. Processed documents are automatically deleted within 24 hours.
The launch comes as more businesses look for practical ways to connect legacy paper records with modern spreadsheet-based workflows. Rather than asking teams to redesign documents around software limitations, ScantoExcel.co is entering the market with a product built to adapt to the format and condition of the documents businesses already have.
About ScantoExcel.co
https://www.scantoexcel.co specializes in using AI OCR to convert scanned documents into structured Excel files. The company focuses on helping organizations extract usable spreadsheet data from image-based documents without templates or manual setup.
Media Contact
Organization: ScantoExcel.co
Contact Person: Ella Murphy
Website: https://www.scantoexcel.co/
Email: Send Email
State: Maryland
Country:United States
Release id:43451
The post ScantoExcel.co Launches New AI Platform for Converting Scans to Excel appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
AbleToExtract.com Announces New Alternative AI Tool for Document Data Extraction
AbleToExtract.com has launched a new comparison resource focused on businesses evaluating alternatives to traditional document extraction software. The site highlights Lido, a cloud-based AI platform designed to extract structured data from documents without desktop installation or manual template setup.
Wisconsin, United States, 1st Apr 2026 – AbleToExtract.com has launched a new online resource designed to help businesses compare traditional document extraction software with newer AI-based alternatives built for cloud workflows.
The site focuses on a common challenge in document processing: many teams still rely on software that must be installed locally and configured around fixed extraction templates. While that model can work in controlled environments, it often becomes harder to maintain when document layouts vary or when teams need shared access across locations and devices.
AbleToExtract.com presents Lido as an alternative built around a different operating model. According to the site, Lido is designed to extract structured data from documents in the cloud using AI, allowing teams to process invoices, statements, receipts, tax forms, and other records without relying on template creation for each layout. The aim is to reduce the maintenance burden that can come with rule-based extraction systems while making spreadsheet output easier to generate across varied document types.
The launch of the comparison resource reflects broader changes in how businesses evaluate document processing tools. As more workflows move away from single-machine software and toward shared browser-based systems, organizations are increasingly comparing not just extraction accuracy, but also deployment model, scalability, and the amount of setup required to keep a system running over time.
The site is intended for teams reviewing whether desktop extraction tools remain the right fit for their current needs, particularly in environments where document volume, layout variation, and collaboration requirements have increased. In that context, the comparison positions Lido as an option for businesses seeking a more flexible approach to document data extraction.
For more information, visit https://www.abletoextract.com/.
About AbleToExtract.com
AbleToExtract.com is an online comparison resource focused on document extraction software and related workflow tools. The site highlights options for businesses evaluating alternatives to template-based desktop extraction systems.
Media Contact
Organization: AbleToExtract.com
Contact Person: Leo Murphy
Website: https://www.abletoextract.com/
Email: Send Email
State: Wisconsin
Country:United States
Release id:43453
The post AbleToExtract.com Announces New Alternative AI Tool for Document Data Extraction appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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