Press Release
Lumino, lightening up the world of secure multi-party computation
New digital era, new demand of security
With the advent of the era of big data, the leakage and abuse of personal privacy data are common, which not only disturbs the normal market order, but also seriously restricts the innovation and development of the digital economy. In recent years, many countries have carried out relevant legislation of digital economy and data governance, which makes the legal requirements of personal privacy data more rigorous, and the supervision system is becoming increasingly strict. The various online scenarios led by the Covid-19 not only bring convenience to our life, but also cause a lot of security demand of data protection
Therefore, the data producers, such as government agencies, operators, platforms, are constantly raising the legal standards of storage, transmission and transaction. It has brought a problem to the data owners: how can fully utilize the data resource endowment to create business profits and social value, meanwhile ensure that the data privacy is protected in accordance with supervision provisions? The real demand behind the problem is bound to give birth to new technologies. The combination of blockchain and secure multi-party computation provides a new solution for breaking the “data island”, ensuring data security and releasing data value.
Recently, as the leader in the global blockchain industry, PlatON has started a new journey in the construction of privacy computation infrastructure, launching the secure multi-party computation ceremony—— Lumino. Lumino aims to create system parameters in a decentralized way, which could help build a real community-based, open-source blockchain ecosystem and ensure the underlying security of the main network and the reliability of future digital applications.
The “chemical reaction” of blockchain and secure multi-party computation
To understand the essence of Lumino, we need to understand the blockchain and secure multi-party computation. Blockchain is a technical solution that does not rely on a third party and a network that stores, verifies, transmits and communicates through its own distributed nodes. The core problems it solves are network decentralization, data consistency and tamper-prevent. Secure multi-party computation is to solve the problem of privacy protection among a group of mutual distrusted participants. It should ensure the independence, correctness decentralization and do not disclose the data to other participants. Secure multi-party computation was firstly proposed by professor Yao Qizhi, who is a Chinese computer scientist and the winner of Turing prize. Since 2010, the development of executable general compiler makes its concept gradually well-known.
It can be seen that both blockchain and multi-party security computation are technologies dealing with data interaction between a group of participants according to specific rules. However, blockchain is mainly used to verify the correctness of the calculation, and the purpose is to achieve the consistent recognition of the results and prevent the results from being tampered with; the purpose of secure multi-party computation (MPC) is to get specific results in the case of data confidentiality, and emphasis on privacy protection in data share situation.
When secure multi-party computation encounters blockchain, the integration has become a technology trend that attracts much attention. Due to the different traits of blockchain and multi-party security computation, they are not exclusive and can complement each other. Blockchain can improve its ability of data confidentiality by using secure multi-party computation to adapt to complex environments; while secure multi-party computation can complete redundant computation with the help of blockchain to obtain verifiable and unique results.
The combination of MPC and blockchain is ultimately to meet the more complex and changeable real needs, especially for various environments of data exchange and sharing. For example, secure multi-party computation can realize key management in the blockchain wallet, and divide the management right of assets reasonably to reduce the risk of single key loss. It can also realize the cross-domain access of EHR data. Based on personal digital identity infrastructure, hospital A could apply for data access to hospital B by obtaining the patient’s authorization, which does not need directly return the patient’s medical record data. It would meet the dual goals of diagnosis needs and privacy protection.
New practice in privacy protection——PlatON & Lumino
Secure multi-party computation is essentially a solution for data security. It is consisted of cryptographic technologies such as obfuscation circuit, secret sharing, homomorphic encryption, etc. PlatON has already realized the layout in these fileds. The key to secure multi-party computation is to use zero knowledge proof to prove that there is no leakage, which is also the key to Lumino.
Most of the existing efficient zero-knowledge proof algorithms need to create system parameters in a centralized way, so the third party who creates the parameters may forge proofs to destroy the underlying security of the main network. Lumino aims to generate the system parameters of the zero-knowledge proof through secure multi-party computation. In this process, the parameters are generated by members altogether, so they will not be obtained or tampered by a single party. This also constitutes the cornerstone of the subsequent privacy protection application. Only when the activity held safely, the subsequent decentralized application will be more secure.
This ceremony is PlatON’s latest practice in the field of privacy protection, and Lumino’s goal is to link the world’s cryptographic geeks to build a global privacy computation infrastructure. In the future community-based and open-source blockchain ecosystem, every participant is an important node, and every participation will make the underlying network more secure. Therefore, this is not only an activity, but also a collective wisdom full of ritual sense. PlatON will also take this opportunity to realize the vision of building infrastructure in the digital era, and make every effort to be the best practitioner in the field of privacy security.
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
Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series
A bestselling voice in contemporary romance trades swoon for suspense in a chilling debut thriller where no one is telling the whole truth.
United States, 3rd Jun 2026 — Some secrets don’t stay buried. They grow roots. With that haunting promise, indie author Candace Nicole introduces Tangled Roots, the chilling first installment of her new psychological thriller series, The Root Series — now available to readers everywhere.
A bold departure into darker territory for the author known for “love, lies and everything in between,” Tangled Roots opens twelve years after Clark Delaine drowned at his lakehouse. The police ruled it an accident. They were wrong. When an anonymous letter surfaces, threatening to drag the truth into the light, five strangers who have spent more than a decade burying that truth find their carefully separated lives suddenly — and dangerously — colliding.
As the past claws its way back, dark secrets emerge about the man everyone believed they knew. And in a story where no one is telling the whole truth, the most devastating revelation is the one no reader will see coming.
“This book lives in the space between what people show the world and what they hide from it,” said Candace Nicole. “I wanted to write something that keeps readers up at night, second-guessing every character — including the ones they trust.”
Candace Nicole is a Central Virginia–based indie author whose work spans contemporary romance and psychological suspense. An avid reader since childhood, she writes with a mind full of characters demanding their stories be told, bringing equal parts heart and intensity to every page. Tangled Roots marks an ambitious new chapter — trading the swoon for the slow burn while keeping the emotional depth her readers have come to love.
For fans of unreliable narrators, simmering mystery, and twist-driven suspense, Tangled Roots is the kind of book best read with the doors locked.
Tangled Roots is available now, including signed copies, at www.cnbookseries.com. Readers can connect with Candace Nicole across all platforms at linktr.ee/cnbookseries.
MEDIA CONTACT
Author Candace Nicole
Cnbookseries
cnbookseries.media@gmail.com
Media Contact
Organization: Cnbookseries
Contact Person: Author Candace Nicole
Website: https://linktr.ee/cnbookseries
Email: Send Email
Country:United States
Release id:45653
The post Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series 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.
Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.
Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.
The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.
Why Now
The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.
Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.
Inside the Platform
SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.
The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.
Capabilities
The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.
Beta Access and Early Users
SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.
Founder
SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.
About Nxapredict Analytics LLC
Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.
Media Contact
Daniel Sibanda
Founder, Nxapredict Analytics LLC
Email: daniel@signaliqintelligence.com
Website: https://signaliqintelligence.com
Media Contact
Organization: Nxapredict Analytics LLC
Contact Person: Daniel Sibanda
Website: https://signaliqintelligence.com
Email: Send Email
Contact Number: +12673361270
Address:9318 Ditman Street
City: Philadelphia,PA
State: PA
Country:United States
Release id:45643
The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence 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.
Nxapredict Analytics LLC has opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform that supports company analysis, forecasting, scenario modeling, and risk assessment for finance professionals and investors.
Philadelphia,PA, PA, United States, 3rd Jun 2026 — Nxapredict Analytics LLC today opened beta access to SignalIQ Intelligence, an AI-powered financial intelligence platform built for analysts, CFOs, consultants, researchers, and independent investors. The beta release brings a structured, AI-assisted approach to company analysis, forecasting, scenario modeling, and risk monitoring to a broader audience of finance professionals who have historically lacked the analytical infrastructure available inside large institutions.
The platform enters beta at a moment when the daily work of financial analysis has grown noticeably harder. Finance teams operate with more data than at any previous point, yet most of it sits across disconnected systems — public filings in one place, internal data in another, market and operational information somewhere else again. Analysts spend hours reconciling formats before they can begin the work they were hired to do. SignalIQ Intelligence was developed in response to that gap.
Why Now
The volume of financial information available to any organization has grown beyond what conventional tools were designed to handle. Quarterly reports, static dashboards, and after-the-fact variance decks still anchor most finance workflows, even as the questions leadership teams ask — about forecasts, scenarios, supplier exposures, and capital allocation — have become more time-sensitive. The gap between what finance teams can produce on a routine cycle and what their decision-makers need has widened.
Artificial intelligence has shifted what is practical in this domain. Language models can read filings at scale and extract structured meaning. Machine learning can identify patterns across thousands of comparable situations. Scenario engines can run sensitivity analyses in minutes that previously took weeks to build. The platforms emerging in this space, including SignalIQ Intelligence, aim to translate those capabilities into workflows finance professionals already use.
Inside the Platform
SignalIQ Intelligence consolidates financial analysis, predictive analytics, scenario modeling, risk monitoring, and reporting into a single environment. The platform ingests public company filings, structured financial statements, and supporting business data, then organizes outputs into modules that let users assess financial health, benchmark against peers, model alternative scenarios, surface early warning indicators, and produce structured reports.
The architecture is built so that each module feeds the next. A user can move from a company overview into financial health assessment, run a scenario, decompose performance drivers, and export a structured report without rebuilding inputs at each step. The intent is to compress a workflow that currently spans multiple spreadsheets, dashboards, and document libraries into a single, repeatable process.
Capabilities
The beta includes modules for financial health assessment, business strength evaluation, forecasting, benchmarking, scenario analysis, variance and decomposition analytics, unit economics, ESG insights, early warning indicators, and structured reporting, alongside AI-assisted exploration through Aurelia AI Analyst, a conversational layer that helps users interpret results and articulate findings in natural language.
Beta Access and Early Users
SignalIQ Intelligence is currently in beta. Nxapredict Analytics LLC is onboarding early users from across the finance community, including financial analysts, FP&A professionals, corporate finance teams, management consultants, researchers, mid-market CFOs, and independent investors. Beta users gain access to the full module set and the opportunity to influence platform development before general availability. Feedback from early users will help shape future enhancements and platform development.
Founder
SignalIQ Intelligence was developed by Daniel Sibanda, Founder of Nxapredict Analytics LLC. Sibanda holds an MBA with a concentration in Business Systems and Analytics and has built his career across accounting, finance, business intelligence, and predictive modeling. His background shaped the platform’s emphasis on practical, structured output and on workflows built around how finance professionals actually work.
About Nxapredict Analytics LLC
Nxapredict Analytics LLC is a financial analytics company focused on applying artificial intelligence and predictive modeling to financial analysis and business decision-support. The company is the developer of SignalIQ Intelligence, an AI-powered financial intelligence platform for analysts, finance professionals, consultants, and investors. Nxapredict Analytics LLC develops tools intended to support professional judgment; the company’s platforms do not replace audited financial statements or licensed financial advice.
Media Contact
Daniel Sibanda
Founder, Nxapredict Analytics LLC
Email: daniel@signaliqintelligence.com
Website: https://signaliqintelligence.com
Media Contact
Organization: Nxapredict Analytics LLC
Contact Person: Daniel Sibanda
Website: https://signaliqintelligence.com
Email: Send Email
Contact Number: +12673361270
Address:9318 Ditman Street
City: Philadelphia,PA
State: PA
Country:United States
Release id:45643
The post Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence 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.
Author Candace Nicole Releases Gripping New Psychological Thriller Tangled Roots Book One of The Root Series
Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence
Nxapredict Analytics Opens Beta Access to SignalIQ Intelligence
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