Press Release
To Create a New Era of Digital Finance, PRC Reconstructs the Value of Financial Token Economy
The long-awaited bull market in bitcoin and recent signs that a large number of corporate and institutional have invested most of their savings in Bitcoin indicate that the development of a mainstream cryptocurrency market is accelerating.
Bitcoin broke through the shackles of traditional finance and opened the door to digital finance. After decades of thriving, it has formed a decentralized, open and transparent digital financial ecosystem with blockchain technology as the core and has become a challenge to the traditional financial system. Based on this development, both the payment industry and the blockchain payment technology are all require innovative solutions. Proxima Centauri (PRC) rose in response to the proper time and conditions and became a leader in the new era of digital finance.
Proxima Centauri has always been committed to creating a financial scene suitable for the mass market, adhering to the purpose of providing the most suitable financial services for anyone. In order to fulfill our promise, we started to build an ecosystem around Proxima Centauri. As an emerging decentralized finance in the world, it has created an application scenario of “ecosphere” on the basis of the Internet. It is our mission to break national boundaries to achieve a community of shared future and create a better world together.
PRC Empowers the Development of Digital Economy with Comprehensive Services
As a pioneer in the digital asset industry, digital asset transactions can drive the development, application and promotion of a series of technologies in the blockchain industry. Proxima Centauri is based on its experience and capabilities in technology research, development and product design, from basic services to ecological operations, etc. Starting from different dimensions, we are committed to providing safer and more efficient services for the global digital financial sector.
For industry giants, while setting up the scene and ecology becomes an important consideration, there is a lack of in-depth polishing and optimization for complex application scenarios. Therefore, how to better create and get through the “whole chain” of the industry has become a difficult problem. Therefore, the PRC, which has its own rich business ecology, massive branches and accumulated experience in global operation activities, to be the first to break the game.
PRC Main Network Launching Plan
Dedicated to Empower Global Entities with “Blockchain+”
In 2021Q2, the PRC test network will be launched with the main network, and will become a blockchain network that can operate independently. Transactions on the network are recognized by the community and will build the DeFi ecosystem in the future.
The PRC team will realize the coupling of its own alliance chain system + multi-mainstream public chain data in the 2021Q4 phase. Based on the technical characteristics, PRC will solve the trust problem and ensure the openness and transparency of asset circulation and investment.
In the future, through the PRC data on-chain system, offline physical assets of traditional industries can pledge equity valuations and convert them into tokens, complete data on-chain, and realize the digitization of real industrial assets, which has brought more flexible funds and a more relaxed investment environment at the same time, allowing anyone to participate without any threshold, and the efficiency of asset circulation is greatly improved.
PRC will Optimize the Drawbacks and Create the Real DEX In the Future
Although the DEX under the banner of Justswap has brought an encouraging performance this year, and PRC officially launched Justswap on November 9, but through the feedback of PRC users, the DEX type of the AMM model is not suitable for normal users. The traditional model is plagued by old problems, such as slow transaction speed, poor transaction depth, large transaction slippage, and normal APP experience.
Therefore, for ordinary users, especially the larger number of incremental users, the PRC team is studying how to combine the using skills and thresholds, so that DEX trading can truly fit CEX in terms of user experience and trading habits, achieving the security advantage of “Got the private key in hand, and my asset is safe”. Security issues will be a real breakthrough for DEX and an important part of the PRC’s ecological future.
PRC Foundation Construction to Accelerate the Expansion of Fuel for the Ecosystem
The construction of the PRC foundation is also an important part of the ecology. It will be used in four sectors in the future: PRC Developer Community Support Fund, PRC Main Network Construction Fund, PRC Charity Fund, and PRC Technology Innovation Investment Fund.
- The PRC Developer Community Support Fund
It is used to encourage outstanding development teams or individuals to participate in the development of PRC mainnet DApp, solve the short-term problems caused by developers due to funds, and quickly expand the PRC ecosystem.
- PRC Main Network Construction Fund
It is mainly used to reward community developers who participate in the development of ACC mainnet and check and correct vulnerabilities.
- PRC Charity Fund
It is mainly used to help the construction of infrastructure in poverty areas around the world, improve the skills of professionals, and improve the living conditions of disadvantaged children.
- PRC Technology Innovation Investment Fund
The Foundation will integrate into the global network to enhance the ability of international technology strategic resource allocation; Carry out venture capital, private equity investment and other financial innovations; We will develop commercial finance in key areas and expand financing channels for energy technology innovation.
The Most Valuable Digital Asset for Investment, and to Create a Global Community Financial Consensus
The development of PRC’s future application ecology is inseparable from the establishment of community consensus. With PRC’s strong ecological fission ability and consensus building experience, PRC community consensus will be the foundation for promoting the construction, development and prosperity of PRC financial application ecology.
In order to accelerate the construction of community consensus, Proxima Centauri is about to launch a global community node recruitment plan to recruit more capable and thoughtful community leaders to participate in autonomy to develop and promote market value together. In the future, driven by the strong consensus of the community, the ecology of PRC will be more prosperous.
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 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
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.
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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