Press Release
The impact of distributed storage of traffic data on the Web 3.0 ecology, the beginning of the transformation of the Internet economy
With the accelerated development of Web 2.0, the Internet has now entered the Web 3.0 era. We know that the essence of the Web 1.0 era is alliance. Static data reading and display was the most advanced information transmission method of Web 1.0 at that time. Web 1.0 opened the door to the Internet world for the first time. Then, with the emergence of the Web 2.0 ecology, the interactive effects of the Internet began to show, and everyone was able to freely build their own Internet value IP. Unfortunately, Web 2.0 has not brought direct economic effects to people. The emergence of Web 3.0 integrates the advantages of the previous two generations of Web, avoids the shortcomings, and returns the economic effects directly to the users themselves. Web 3.0 is a brand-new Internet application model that links information transmission and economic effects. We can understand Web 3.0 as intelligent interconnection.
In recent years, with the large-scale development of the flow economy, the flow has driven the release of productivity. Nowadays, the transformation of the digital economy has no time to delay. The large-scale expansion of traffic data has also revealed the drawbacks of traditional centralized storage, such as high storage costs, low security performance, and slow transmission efficiency. As the underlying infrastructure of the current Internet economy, traffic data plays a crucial decisive factor for the future Internet economic model. But how to solve the long-standing problems in the current traffic data storage market has been plagued many people. The emergence of Flowcoin may be able to solve this series of existing problems.
Flowcoin is a new application ecology that uses distributed storage solutions to solve flow data storage. Flowcoin provides a stable network environment for flow data storage by establishing a DSN retrieval network with high stability, security, and transparency. Compared with centralized and integrated data storage, the Flowcoin network uses ledger storage, that is, excluding centralized cloud storage service providers, and directly exchanges values between users. For example, user A wants to store traffic data and is willing to pay for the storage fee, user B provides storage space and performs traffic data storage for user A. And Flowcoin adopts the storage mechanism of space-time proof, which can effectively monitor user B who provides storage space in real time to prevent data storage interruption caused by human factors in the middle. During this period, all storage allocation is for each participant in the network. It’s all public. In each block, the network will check whether each required proof of distribution exists, check whether they are valid, and take corresponding measures: if any proof is lost or invalid, the network will punish storage by deducting part of the collateral User B. If a large amount of data is proved to be lost or the storage is invalid, the network will determine that the storage user B is faulty and set the order as failed, and re-launch a new order of the same fragment into the market. Ensure that user A who needs storage can meet the corresponding storage requirements. Under this scheme, value can be directly exchanged and market demand can be dynamically balanced, allowing users to achieve intelligent interconnection.
With the application of 5G, we have fully entered the era of the Internet of Everything, that is, the era of massive data storage. Everyday data is growing rapidly. The privacy, security, and value of data are particularly important. With the birth of blockchain, Web3.0 has a new definition, that is, value interconnection. Web3.0 will create a new digital economy system, create new business models and markets, and will bring convenience to the free flow of value. In the future, the transfer of value will be global, instant, free, and accessible to everyone. It will be more people-oriented, focusing on data security and privacy. The security and stability of data will be the underlying structure of the future development of the Internet, and the development of the traffic economy will promote the process of digital transformation in related industries. Data is an important “factor of production” in the Web3.0 era. Like the traditional “factors of production” of land, capital, and labor, it has circulation value and sustainable reproduction value. Flow data will also be the most important “factor of production” in the Internet economy. Therefore, whether flow data storage is reasonable, efficient, convenient and safe is indispensable. The emergence of Flowcoin is expected to break the long-standing technology in the current flow data storage market Disadvantages play a crucial decisive factor for the economic transformation of the Internet industry. With the continuous advancement of technology, Flowcoin will strengthen the stability of the overall structure of the DSN network, and provide feasible development strategy deployment, build a high-density centralized storage room, and empower the Internet economy by building a flow computing power network. Accelerate the operation of the Internet’s digital economy.
#Flowcoin’s official community link
1. Telegram:
2. Twitter:
3. Facebook:
https://www.facebook.com/coin.flow.18/
4. Medium:
https://flowcoin001.medium.com/
5. Reddit:
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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.
AccountingOCR.com has launched a new AI-powered OCR platform built for accounting workflows. The software helps firms and finance teams extract structured data from financial documents without relying on templates or manual document setup.
Mississippi, United States, 1st Apr 2026 – AccountingOCR.com recently announced the launch of its AI OCR platform designed to help accounting teams convert financial documents into structured digital data.
The platform was developed for firms and finance departments that regularly work with invoices, receipts, bank statements, tax forms, and other records that often arrive in inconsistent formats. In many accounting environments, processing these documents still involves a mix of manual entry, template-based extraction tools, and fragmented systems for different document types. AccountingOCR.com enters the market with a broader approach focused on handling varied financial records through a single AI-driven workflow.
According to the company, the software reads data from scanned paper documents, digital PDFs, and image-based files without requiring fixed templates or document-by-document configuration. The goal is to make document intake more practical for accounting teams that need to work across changing layouts, multiple clients, and large volumes of records while keeping extracted information usable for spreadsheet review and accounting system imports.
A key part of the platform’s positioning is its focus on accounting use rather than general OCR alone. In addition to extracting text and tables, the software is designed to support early-stage classification of financial data, helping teams organize information in a way that better fits bookkeeping and reporting workflows. This reflects growing demand for tools that do more than capture text and instead help reduce the administrative burden around coding, categorization, and review.
The launch also speaks to a wider shift taking place across the accounting profession. As firms manage rising document volumes and tighter reporting timelines, there is increasing pressure to reduce repetitive processing work without sacrificing structure or control. AccountingOCR.com is aimed at teams looking for a more consistent way to move from raw financial documents to usable data without adding more manual steps to the process.
The company said the platform includes security controls intended for organizations handling sensitive financial information. It states that the software 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. Documents processed through the system are automatically deleted within 24 hours.
About AccountingOCR.com
AccountingOCR.com is an AI-powered OCR software platform focused on accounting and financial document processing. The company helps firms and finance teams extract structured data from invoices, receipts, statements, tax forms, and other records for use in spreadsheets and downstream accounting workflows.
Media Contact
Organization: AccountingOCR.com
Contact Person: Zoe Russell
Website: https://www.accountingocr.com/
Email: Send Email
State: Mississippi
Country:United States
Release id:43490
The post AccountingOCR.com Releases AI OCR Platform for Accounting Teams 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
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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.
ContractExtraction.com has launched a new AI-powered platform designed to extract key terms from contracts and convert them into structured data. The software is intended to help legal, procurement, and operations teams reduce the time spent reviewing agreements manually and improve visibility across large contract portfolios.
United States, 1st Apr 2026 – https://www.contractextraction.com announced the launch of its new contract extraction platform, a software solution developed to help organizations identify and structure important terms from contracts, NDAs, and related agreements through AI.
For many businesses, contract information is available but not easily usable. Important details such as effective dates, renewal terms, payment obligations, notice periods, and party names are often buried in lengthy agreements that must be reviewed one by one. This can create delays not only in legal review, but also in procurement, compliance, and operational planning, especially when organizations are working across large volumes of active and legacy contracts.
ContractExtraction.com was developed to address that challenge by turning contract language into structured output that can be searched, filtered, and analyzed more efficiently. According to the company, the platform is designed to interpret legal phrasing and identify key business terms across a wide range of contract formats without requiring template setup or document-by-document configuration. The software is intended to help teams move more quickly from document review to practical contract visibility.
The company says the platform is particularly relevant in situations where businesses need to review agreements at scale, whether for migration projects, portfolio cleanup, vendor oversight, or renewal tracking. In these settings, the burden often comes from the amount of manual reading required to locate recurring terms across hundreds or thousands of files. ContractExtraction.com is positioning its software as a way to reduce that burden while making contract information easier to use in downstream systems and reporting environments.
The launch reflects broader interest in tools that can support contract operations beyond storage alone. As organizations place greater emphasis on obligation tracking, commercial visibility, and internal controls, there is increasing demand for systems that can help transform static agreements into working data. The company says this is especially relevant for teams that need contract information to support ongoing decisions rather than remain locked inside legal documents.
ContractExtraction.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 contracts within 24 hours. According to the company, these measures are intended to support organizations that require stronger safeguards when handling sensitive legal and business records.
One user described the impact by saying that a portfolio migration involving more than 2,000 legacy contracts, which would have taken months to review manually, was completed in two days using automated extraction. The company says this reflects growing demand for tools that can help legal and business teams work through contract volume with greater speed and consistency.
About ContractExtraction.com
ContractExtraction.com helps organizations extract key terms and structured data from contracts using AI. The platform is designed to make information from agreements easier to use in spreadsheets, reporting tools, and contract management workflows.
Media Contact
Organization: ContractExtraction.com
Contact Person: Isaac Bell
Website: https://www.contractextraction.com/
Email: Send Email
Country:United States
Release id:43461
The post ContractExtraction.com Launches AI Platform for Extracting Data from Contracts 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.
ContractDataExtraction.com has launched a new AI-powered platform designed to convert contracts into structured, spreadsheet-ready data. The software is intended to help legal, procurement, and operations teams work more effectively with contract information that is often difficult to track once it is locked inside static documents.
United States, 1st Apr 2026 – ContractDataExtraction.com recently announced the launch of its new contract analysis platform, a software solution developed to help organizations extract structured data from contracts, agreements, and related records through AI.
The release addresses a common challenge in contract management. While contracts often contain critical information tied to renewal timing, payment obligations, termination rights, liability terms, and operational commitments, much of that information remains embedded in documents that are easy to store but difficult to monitor at scale. In many organizations, this leads to fragmented review processes, limited visibility across contract portfolios, and avoidable risk when key terms are not surfaced in time.
ContractDataExtraction.com was developed to address that gap by converting contract language into structured output that can be searched, filtered, and analyzed more easily. According to the company, the platform is designed to identify key provisions and business terms across a wide range of contract formats without requiring document-specific templates or manual setup. The software is intended to support both newly received contracts and legacy archives that may currently sit in shared folders, inboxes, or document repositories without a practical way to compare them at scale.
The company says the platform is especially relevant for teams that need contract data in a working format rather than a storage format. In legal and procurement environments, the challenge is often not access to contracts themselves, but the time required to locate and organize the information that matters across hundreds or thousands of files. ContractDataExtraction.com is positioning its platform around that operational need, with an emphasis on helping businesses turn agreements into usable datasets that support oversight, compliance, and planning.
The launch also reflects a broader shift in how organizations are approaching contract operations. As companies place greater emphasis on renewal management, vendor governance, and internal controls, there is increasing demand for tools that can surface contractual information without requiring line-by-line manual review for every document. The company says this is particularly important where large contract inventories make traditional tracking methods difficult to sustain.
ContractDataExtraction.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 contracts within 24 hours. According to the company, these measures are intended to support organizations that require stronger standards around privacy, security, and document handling.
One user described the impact by saying that a contract archive containing thousands of documents could be converted into a searchable spreadsheet within days, allowing the team to identify expiration dates and renewal terms that had previously been difficult to track. The company says this reflects growing demand for tools that can help organizations move from passive contract storage to more active contract visibility.
About ContractDataExtraction.com
https://www.contractdataextraction.com aims to help organizations extract structured data from contracts using AI. The platform is designed to make information from agreements, NDAs, leases, and other contract records easier to use in spreadsheets, reporting tools, and operational workflows.
Media Contact
Organization: ContractDataExtraction.com
Contact Person: Nora Kelly
Website: https://www.contractdataextraction.com/
Email: Send Email
Country:United States
Release id:43460
The post ContractDataExtraction.com Launches AI Tool to Convert Contracts into Structured Data 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.
AccountingOCR.com Releases AI OCR Platform for Accounting Teams
ContractExtraction.com Launches AI Platform for Extracting Data from Contracts
ContractDataExtraction.com Launches AI Tool to Convert Contracts into Structured Data
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