#AI-powered compliance solution

[complyrelax]

ComplyRelax is an AI-driven, cloud-based dashboard that simplifies secretarial and corporate compliance for Company Secretaries and legal teams. Automate MCA filings (AOC‑4, MGT‑7, DIR-3 KYC), track deadlines and SRNs in real-time, manage director tenures, generate board documents effortlessly, and stay audit-ready—all from one centralized platform 

[certivo]

Effortless REACH Compliance with Certivo’s AI‑Powered Inventory Management Platform

Certivo’s AI‑powered platform makes REACH compliance seamless and stress‑free. The solution centralizes inventory management and streamlines regulatory compliance by automatically tracking material disclosures, managing REACH regulations, and flagging Restricted Substance updates. With comprehensive inventory management workflows and proactive risk alerts, Certivo empowers businesses to efficiently meet EU and UK market requirements. Automate your REACH obligations — from dossier preparation to supplier communication — without manual effort or compliance delays. Simplify processes, reduce risk, and get market-ready faster with Certivo’s intelligent REACH compliance solution.

[jcmarchi]

Vasu Murthy, SVP and Chief Product Officer at Cohesity – Interview Series

New Post has been published on https://thedigitalinsider.com/vasu-murthy-svp-and-chief-product-officer-at-cohesity-interview-series/

Vasu Murthy, SVP and Chief Product Officer at Cohesity – Interview Series

Vasu Murthy is the SVP and Chief Product Officer at Cohesity, bringing over 25 years of enterprise software experience across data security, protection, and analytics. Prior to joining Cohesity, he held leadership roles at Rubrik, Oracle, and DataScaler, contributing to product growth and large-scale innovation.

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge

You co-founded DataScaler, which was later acquired by Oracle. What lessons from your startup journey still guide your decision-making today?

Finding product market fit was our primary goal in the early stages at DataScaler. While we had many enthusiastic prospects for the product, enthusiasm did not always translate into a repeatable use case. The power is in asking the right questions. If all you ask is “What would you like?” or “Would you use this?”, people are often in the mindset of their ideal self, thinking about what they’d like to use or need in a perfect world, and it doesn’t always reflect what they need in their day-to-day reality.

If something is truly important to a customer, chances are they’re already doing it, likely not efficiently or enjoyably. They might be using a clunky product they don’t like, spending more money, or handling things manually and wishing they could get time back. The better questions to ask are: “What are you doing today that’s hard?” or “What would save you time or money?” When you start with the right questions, you uncover problems that are worth solving.

What drove your decision to move from a giant like Oracle into the fast-paced world of Rubrik and later Cohesity?

I think of my career as a series of missions. Reid Hoffman calls it “Transformational Tours” in his book, The Alliance. A typical mission for me lasts 2-3 years and ends with a specific outcome for the business, and then it’s time to work on something new. While I was at Oracle, I was given a project that became a three-year mission. Once completed, I asked, “What’s next?” and they said, “Something even bigger!”, so I assembled a team and began the next mission. That cycle repeated itself, and each time, the challenge grew.

At the end of my third mission at Oracle, I was craving something at the pace and perspective of a high-growth startup, which led me to Rubrik. After Rubrik’s IPO, I took some time off to think about what was next, and set out to join a team with an exciting challenge, which is how I came into my role at Cohesity.

What unique opportunities did you see at Cohesity that convinced you this was the right next chapter in your career?

Cohesity’s recent acquisition of Veritas’ enterprise data protection business is exactly the kind of project that I was looking for. The opportunity to play a key role in integrating the companies while charting a smooth transition for the large customer base is both challenging and rewarding. I’m privileged to contribute to shaping the culture, influence product development, and making this transformation successful for our employees and customers.

You joined Cohesity just before the Veritas acquisition. What was your first focus as CPO coming into this high-stakes moment?

For a CPO, understanding the mindset of customers and employees is just as important as understanding the product and the market. Our customers are global, and our people have been through different experiences. Getting a message across that resonates with all of them is crucial.

Beyond communication, my top priority is to increase the pace of innovation we deliver to our customers, and earn the right to continue to expand our footprint. There’s an opportunity to guide our customers to the future of data security and AI.

Cohesity has a strong AI-first vision. How are you thinking about AI as a product layer versus an embedded capability?

Cohesity leverages AI in all aspects — from detecting anomalies and classifying data to helping customers accelerate and strengthen cyber recovery. With hundreds of exabytes of data under our management, there’s a big opportunity to unlock AI-driven insights from all across the platform.

Cohesity was built from the ground up as a platform, which makes us unique in this market. Designed to support multiple applications from the start, Cohesity has a strong position in many use cases on data. Customers pay us to bring their data into our platform, which gives us a powerful opportunity to build and deliver applications on top of it.

How do tools like Cohesity Gaia redefine how enterprises interact with their data?

80% of enterprise data is unstructured and traditionally difficult to manage or analyze, and generative AI has provided opportunities to extract insights and value from it.

To leverage unstructured data, it needs to be gathered from a variety of sources, cleaned to ensure it does not have unwanted private, sensitive data, and provided in immutable views for RAG and other ways to derive insights. Even when data is available, it takes significant effort to build the AI infrastructure to deliver insights.

Cohesity Data Platform already gathers and secures data from all locations, and we also built Gaia, a full-fledged RAG application to derive insights from data. This allows users to interact with their data using natural language, generate valuable insights, and seamlessly unify company knowledge across various data types and locations.

What are the most exciting customer use cases you’ve seen so far for AI-powered conversational search and threat detection?

There’s so much data worldwide that many customers don’t even know what they have. Being able to unlock that and leverage for more information is very powerful for business. One aspect I find particularly interesting is the concept of data sovereignty. In today’s geopolitical climate, countries are increasingly concerned about whether data stored within their borders gives their citizens control. A key question that’s been coming up, especially with AI, is whether these AI services are hosted in the cloud. People are worried about whether they can query their data and who can access it.

Cohesity stands out to me in situations like this because it offers a solution through enabling on-premises data management. With Cohesity, customers don’t need to move their data to the cloud or worry about entities managing it in other countries. The growing concern around data sovereignty and “data gravity” means that more organizations want to keep things on-premises, and we can provide exactly that solution, working with our hardware partners and NVIDIA.

How do you ensure alignment across product, design, and documentation—especially when launching AI-first experiences?

Success of a company depends on all functions operating in harmony – not just product, design and documentation. Ideas can come from anywhere and when people feel heard, they feel a sense of ownership that drives the best outcome.

It is important to include all stakeholders early on, listen to them, and ensure they all have a say in the outcome. Product teams need to be good idea curators and help prioritize, designers need to keep customer experience at the forefront, and documentation teams need to focus on minimizing the time spent in documents by working with designers, providing in-line guidance as necessary. AI has a huge role to play in developing and delivering this experience.

What frameworks help you prioritize between customer pain points, visionary innovation, and technical debt?

It pays to start from first principles when determining priorities and shaping our approach. Frameworks can be helpful for communicating this, especially when they’re well-aligned. That said, I believe most products can generally be categorized into three types.

First, there are new products with few customers, where innovation should be the main focus. Then, you have the core products that are the bread and butter. Innovation is important here, but addressing customer pain points should also be a priority. Lastly, you have long-term, mature products that are well-established. In this case, the focus shifts more to managing customer pain points and technical debt.

What are your goals for Cohesity’s product portfolio over the next 12 to 18 months?

We’ve found so much that fits between Cohesity and Vertias’ enterprise data protection business since the acquisition. It’s the fastest I’ve ever seen two product suites come together. In Veritas’ most recent iteration, they converted their backup solution into a set of microservices within containers. Conversely, Cohesity started as a container-based application platform built on a flexible data layer. Because of this, it’s possible to drop Veritas services onto the Cohesity platform, and things work seamlessly because the data platform works with both.

Over the next 12 to 18 months, we want our workload support, data security and AI services to be common for all our customers. We’re also building a seamless upgrade path for all customers to get to a future proof platform for their data.

A product that I’m particularly excited about is RecoveryAgent, Cohesity’s new Agentic AI cyber orchestration solution. The first new offering from the joint development efforts of Cohesity and Veritas, it provides customers with easy cyber recovery preparation, testing, and automation to strengthen security postures, increase confidence in incident response, and prove compliance.

What advice would you give to other CPOs navigating this AI-dominated landscape?

People are feeling the immediate need to incorporate AI into applications. Often this is in the form of making workflows easier and assisting people in being more productive. While this is useful for customers, it is unlikely that customers pay significantly more for this incremental productivity improvement.

True AI differentiation requires re-thinking the workflows completely driven by AI. The technology is evolving rapidly and will become more valuable as the AI accuracy improves. AI can be great for natural language interactions and some planning, the core logic still requires a lot of validation, monitoring, error-correction, and scaffolding. While AI driven apps will improve over time, there is money to be made in AI and data infrastructure.

Thank you for the great interview, readers who wish to learn more should visit Cohesity. 

[tagbintech]

AI Streamlining Decision-Making 2025: Transforming Business Efficiency

Introduction

In 2025, artificial intelligence (AI) is revolutionizing decision-making processes across industries, making operations faster, more accurate, and highly data-driven. With AI-powered analytics, predictive insights, and automation, businesses can optimize strategies and improve overall efficiency. This article explores how AI is streamlining decision-making in 2025, its applications, and the future it holds for businesses worldwide.

How AI is Transforming Decision-Making in 2025

1. Real-Time Data Processing for Faster Decisions

AI-powered algorithms can process vast amounts of data in real time, enabling companies to make swift and informed decisions. Businesses no longer have to rely on traditional data analysis, which often lags behind market trends.

2. Predictive Analytics for Strategic Planning

AI-driven predictive analytics help businesses anticipate trends and challenges before they arise. This allows companies to implement proactive strategies rather than reactive measures, ensuring competitive advantages in dynamic markets.

3. AI in Financial Decision-Making

AI is transforming financial forecasting, risk assessment, and investment strategies. By analyzing historical data and market patterns, AI enables businesses to make profitable financial decisions while minimizing risks.

4. Enhancing Customer Decision Journeys

Companies are using AI to personalize customer experiences by analyzing preferences and behaviors. AI-driven recommendation engines enhance decision-making in marketing, sales, and customer service.

5. AI-Driven Automation for Operational Efficiency

From supply chain management to HR processes, AI streamlines decision-making by automating repetitive tasks, reducing human error, and improving efficiency.

The Role of AI in Different Industries

AI in Healthcare Decision-Making

AI assists doctors in diagnosing diseases, recommending treatments, and predicting patient outcomes with high accuracy. AI-driven diagnostics speed up decision-making and improve patient care.

AI in Manufacturing & Supply Chain Management

Manufacturers leverage AI for inventory optimization, quality control, and production planning. AI-powered supply chain analytics reduce delays and optimize logistics.

AI in Marketing and Customer Engagement

AI helps marketers analyze consumer behavior and optimize campaigns, ensuring personalized and data-backed decision-making in advertising strategies.

AI in Corporate Governance

AI enhances corporate decision-making by analyzing legal and compliance risks, ensuring transparency, and mitigating potential business threats.

The Future of AI in Decision-Making

AI is expected to become even more sophisticated, integrating with blockchain, IoT, and quantum computing for enhanced decision intelligence. AI-driven platforms will offer real-time insights, self-learning capabilities, and autonomous decision-making systems.

Conclusion

AI in decision-making is revolutionizing industries, empowering businesses with data-driven insights, automation, and strategic planning. As we step into 2025, AI will continue to be a game-changer, improving efficiency, reducing risks, and driving growth. Companies that embrace AI will lead the future, making smarter and faster decisions in an increasingly competitive world.

[precallai]

The Role of Artificial Intelligence in Call Centers: Advantages, Challenges, and Innovations

Introduction

Artificial Intelligence (AI) is transforming the call center industry by automating customer interactions, streamlining workflows, and improving service quality. AI-driven technologies, such as virtual assistants, speech analytics, and predictive insights, enhance operational efficiency and customer satisfaction. However, integrating AI into call centers comes with challenges that need strategic solutions. This article explores the key benefits, challenges, and emerging innovations in AI-powered call centers.

Key Advantages of AI in Call Centers

1. Enhanced Customer Support

AI chatbots and virtual assistants provide instant responses, reducing customer wait times and ensuring round-the-clock availability. Natural Language Processing (NLP) enables these systems to interpret and respond to inquiries with human-like accuracy.

2. Boosted Agent Efficiency

AI supports call center agents by automating routine tasks, suggesting relevant responses, and summarizing interactions in real time. This allows human agents to focus on more complex and high-value conversations.

3. Smart Call Routing

AI-powered systems analyze customer history, sentiment, and query type to route calls to the most suitable agent, reducing resolution times and enhancing first-call resolution rates.

4. Predictive Analytics for Proactive Engagement

AI analyzes customer data to forecast behavior, identify potential churn risks, and suggest tailored solutions. This proactive approach helps businesses retain customers and improve satisfaction.

5. Cost Efficiency and Scalability

By automating a significant portion of customer interactions, AI-driven call centers reduce operational costs. AI also enables businesses to scale support operations efficiently without a proportional increase in staff.

Challenges of AI Integration in Call Centers

1. Handling Complex Queries

While AI is effective for routine inquiries, complex or emotionally sensitive issues often require human intervention. Balancing AI automation with human support is essential for optimal service.

2. Data Security and Privacy Compliance

Call centers manage sensitive customer information, making compliance with regulations such as GDPR and CCPA critical. AI systems must include strong security protocols to safeguard data.

3. Legacy System Integration

Many call centers operate on outdated infrastructure, which may not be fully compatible with modern AI solutions. Upgrading or implementing middleware can be costly and time-consuming.

4. Customer Trust and AI Acceptance

Some customers prefer human support over AI-driven interactions. Ensuring that AI systems provide accurate, empathetic, and context-aware responses while allowing seamless handoffs to human agents is crucial.

5. Mitigating AI Bias

AI models can inherit biases from training data, leading to inaccurate or unfair responses. Continuous monitoring and refining of AI algorithms are necessary to ensure unbiased and equitable customer service.

Cutting-Edge Innovations in AI Call Centers

1. Real-Time Sentiment Analysis

AI-driven sentiment analysis detects customer emotions in real time, enabling agents to adjust their approach and prioritize urgent cases accordingly.

2. Voice Biometrics for Secure Authentication

AI-powered voice recognition verifies customer identities using unique vocal patterns, reducing reliance on passwords and enhancing security.

3. AI-Enhanced Speech Analytics

Speech analytics tools analyze call interactions to uncover customer trends, identify compliance gaps, and suggest service improvements.

4. Hyper-Personalized Customer Interactions

AI-driven CRM systems leverage customer behavior and history to offer personalized recommendations, promotions, and support solutions.

5. AI-Powered Multilingual Support

Real-time language translation powered by AI enables call centers to serve global customers seamlessly, eliminating language barriers.

Conclusion

AI is redefining call center operations by improving efficiency, personalizing customer interactions, and reducing costs. However, successful AI adoption requires addressing challenges related to security, integration, and customer trust. As AI technology advances, businesses that strategically implement AI-powered solutions will gain a competitive edge in delivering exceptional customer service

[askmycfo]

AskMyCFO: AI-Powered Financial Optimization & Compliance

Unlock smarter financial management with AskMyCFO. Our AI-driven platform streamlines cost-cutting, automates financial reporting, ensures compliance, and delivers deep business insights—empowering you to make data-driven decisions with confidence.

[websyn]

Seamless Intranet Applications for Singapore’s Shipping, Oil, and Gas Industries

In the dynamic landscape of Singapore’s shipping, oil, and gas sectors, seamless communication and efficient operations are paramount. As industries that thrive on precision, speed, and collaboration, leveraging cutting-edge intranet applications can redefine how organisations in these sectors operate, boosting productivity and resilience.

The Modern Challenges in Shipping, Oil, and Gas

Industries like shipping and oil and gas face a myriad of challenges:

Complex Operations: Managing global fleets, multi-national crews, and intricate logistics demands streamlined coordination.

Regulatory Compliance: Navigating stringent international and local regulations requires reliable and up-to-date data management.

Data Silos: Disconnected systems lead to inefficiencies, delayed decision-making, and resource wastage.

Cybersecurity Threats: The rise of digital operations brings increased vulnerability to cyberattacks.

Seamless intranet solutions tackle these challenges head-on by providing a unified digital framework that connects people, processes, and systems.

Key Features of Seamless Intranet Applications

Centralised Information Hub Modern intranet platforms act as a one-stop solution for all organisational data. Whether it’s vessel maintenance logs, crew schedules, or safety protocols, employees can access critical information in real-time, reducing delays and errors.

Enhanced Collaboration With features like instant messaging, video conferencing, and project management tools, teams across geographies can collaborate effectively. This is particularly crucial in industries where onshore and offshore teams need to synchronise operations seamlessly.

Advanced Security Protocols Industry-grade intranet applications come equipped with robust encryption, two-factor authentication, and intrusion detection systems to safeguard sensitive data from cyber threats.

Integration with Industry-Specific Tools Intranet systems can integrate with tools like enterprise resource planning (ERP) software, compliance management platforms, and IoT-enabled devices, offering a cohesive operational experience tailored to sector-specific needs.

Scalability and Customisation Scalable solutions ensure that the intranet grows with your business, adapting to new technologies and expanding requirements. Custom dashboards allow businesses to prioritise what matters most, from supply chain visibility to environmental performance metrics.

Benefits for Singapore’s Shipping, Oil, and Gas Industries

Improved Operational Efficiency: Minimise downtime with faster communication and streamlined workflows.

Regulatory Compliance: Stay ahead of compliance requirements with automated updates and centralised documentation.

Cost Reduction: Eliminate redundancies and optimise resource allocation through data-driven insights.

Enhanced Employee Engagement: Empower teams with user-friendly tools and access to training modules, improving morale and performance.

Sustainability Goals: Intranets that integrate with green logistics tools help businesses track and achieve environmental objectives.

Real-World Applications

Singapore’s position as a global maritime and energy hub makes it an ideal testing ground for innovative intranet solutions. For example:

Shipping: Streamlined fleet management with real-time data access ensures on-schedule deliveries and reduced operational costs.

Oil and Gas: Enhanced safety protocols through connected systems help reduce risks in high-stakes environments like offshore drilling platforms.

Why Invest in Seamless Intranet Applications?

In a world where digital transformation is no longer optional, adopting seamless intranet applications is a strategic necessity. These tools not only future-proof your business but also provide a competitive edge by fostering agility, collaboration, and innovation.

Conclusion

For Singapore’s shipping, oil, and gas industries, seamless intranet applications are more than just a technological upgrade—they’re a business imperative. By addressing core challenges, driving efficiency, and enhancing security, these solutions pave the way for sustained growth in an increasingly digital world.

Unlock the potential of your organisation with tailored intranet solutions designed to meet the unique demands of your industry. Embrace the change today, and lead your business into a connected, collaborative future.

[alwajeeztech]

Documents Management in ALZERP Cloud ERP Software

In today’s fast-paced business environment, managing and organizing documents effectively is crucial for operational efficiency. ALZERP Cloud ERP Software offers a robust Documents Library or File Storage feature, designed to streamline document management and ensure your business remains agile, compliant, and efficient. This article delves into the comprehensive capabilities of the Documents…

[glancetelecom]

We don't just offer traditional communication solutions. We're at the forefront of innovation, leveraging the power of AI to take your interactions to the next level. Experience the difference with Crystal-clear VoIP calls, Effortless SMS solutions and AI-powered features. https://bit.ly/4cG4F2U #GlanceTelecom #AI #Communication #Results #VoIP #SMS #BusinessSuccess #CloudSolutions #CustomerSuccess Glance Telecom

[adasitecompliance]

Digital Content Accessibility

Discover ADA Site Compliance's solutions for digital content accessibility, ensuring inclusivity online!

[certivo]

How AI is Revolutionizing Product Compliance — Live Webinar with Certivo CEO

Don’t miss this exclusive webinar hosted by Kunal Chopra, CEO of Certivo, where he reveals how manufacturers are using AI to make compliance faster, smarter, and scalable. Learn how to automate supplier certifications, stay ahead of changing regulations like RoHS, REACH, and PFAS, and accelerate product launches with AI-powered compliance workflows. This session is packed with real-world use cases and practical strategies to help manufacturers reduce risk and optimize operations—without increasing headcount.

🔗 Register Here: https://us06web.zoom.us/meeting/register/SGQvDct_RUC_G1y9tMOpuw#/registration

📌 Also RSVP on LinkedIn: https://www.linkedin.com/events/7336279848736174080/comments/

[tagbintech]

AI in Corporate Governance 2025: Transforming Decision-Making and Compliance

Introduction

Artificial Intelligence (AI) is revolutionizing corporate governance, enhancing decision-making, risk management, and compliance processes. As we step into 2025, AI's role in governance continues to evolve, driving efficiency and transparency in corporate structures. AI in corporate governance 2025 is not just a trend but a necessity, helping organizations navigate regulatory complexities and optimize operations.

The Role of AI in Corporate Governance

AI is increasingly integrated into governance frameworks to improve compliance, mitigate risks, and enhance decision-making. The key areas where AI is making a significant impact include:

1. Automating Compliance and Risk Management

Regulatory requirements are constantly evolving, making compliance a challenging task for businesses. AI-driven systems can:

Monitor regulatory changes in real time

Automate compliance reporting

Identify potential risks and suggest mitigation strategies

2. Enhanced Decision-Making with AI-Powered Analytics

AI-driven analytics offer insights based on data patterns, enabling executives to make informed decisions. Companies leverage AI to:

Analyze financial reports for anomalies

Predict market trends

Optimize resource allocation

3. AI in Ethical Corporate Practices

Ethical governance is a top priority in 2025. AI helps in:

Detecting fraudulent activities

Monitoring ethical compliance

Ensuring fair decision-making practices

4. Cybersecurity and Data Protection

With increasing cyber threats, AI is crucial for corporate cybersecurity. AI-powered solutions help in:

Identifying potential security breaches

Preventing data leaks

Ensuring compliance with data protection laws

5. AI-Driven Boardroom Decision-Making

Boardrooms now use AI tools to enhance decision-making by:

Providing real-time data insights

Reducing human biases

Automating meeting minutes and key action items

Benefits of AI in Corporate Governance

Improved Compliance Efficiency: AI reduces the burden of regulatory compliance by automating tasks.

Better Risk Management: AI predicts potential risks before they become critical issues.

Faster and Data-Driven Decisions: AI helps executives make well-informed decisions.

Stronger Cybersecurity Measures: AI safeguards corporate data from cyber threats.

Enhanced Transparency: AI improves accountability in governance processes.

Challenges in Implementing AI for Corporate Governance

Despite its advantages, AI adoption in governance faces challenges such as:

Data Privacy Concerns: Organizations must ensure AI compliance with privacy laws.

Bias in AI Algorithms: AI must be trained on diverse datasets to prevent biased decision-making.

Integration Complexity: Implementing AI requires significant investment and expertise.

The Future of AI in Corporate Governance

As AI continues to evolve, the future of corporate governance will see:

Increased use of AI-powered chatbots for compliance queries

AI-driven predictive governance models

Enhanced blockchain integration for transparent governance

Conclusion

AI in corporate governance 2025 is reshaping how businesses operate, ensuring compliance, enhancing risk management, and improving decision-making processes. While challenges exist, the benefits far outweigh the risks, making AI an indispensable tool for modern corporate governance.

[legalfirmindia]

Data Protection: Legal Safeguards for Your Business

In today’s digital age, data is the lifeblood of most businesses. Customer information, financial records, and intellectual property – all this valuable data resides within your systems. However, with this digital wealth comes a significant responsibility: protecting it from unauthorized access, misuse, or loss. Data breaches can have devastating consequences, damaging your reputation, incurring…

[techdriveplay]

Zendesk Unveils the Industry’s Most Complete Service Solution for the Ai Era

At its Relate global conference, Zendesk announced the world’s most complete service solution for the AI era. With support volumes projected to increase five-fold over the next few years, companies need a system that continuously learns and improves as the volume of interactions increases. To help businesses deliver exceptional service, Zendesk is launching autonomous AI agents, workflow…

[reyaint]

futuristic dr | virelia + neovista

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date: may 14 2025. i'm figuring out how to format this from my script so it's probably gonna look like a mess i'm sorry haha. i may edit this to add more info if i feel like it.

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✧˖*°࿐the state

დ࿐ ‎˗ˋ virelia ☆ 𓂃 › official title. The Sovereign Technocratic Republic of Virelia ☆ 𓂃 › motto. “precision. progress. perfection.”

virelia represents a paradigm shift in governance — not built on ideological revolution but on technological supremacy. it emerged in the late 21st century after a coalition of corporate leaders, scientists, and futurists proposed a self-regulating state built around data-driven governance and environmental sustainability.

virelia is a beacon of technological advancement, a sprawling self-sustaining state located on the western coast of North America. founded in the late 21st century, it has quickly risen to prominence as a futuristic utopia where human ambition and technology intertwine seamlessly.

this city-state operates with cutting-edge infrastructure, clean energy solutions, and unprecedented levels of automation, making it a model of the future. however, its advancement comes with hidden costs, such as surveillance, control, and the loss of personal freedoms for some citizens.

დ࿐ ‎˗ˋ location. built on reclaimed land along the coast, the state is positioned near mountains, leveraging its natural terrain for sustainability. this combination of oceanfront and mountainous landscape allows for the development of a beautiful yet highly structured environment. ☆ 𓂃 › climate. Virelia enjoys mild weather and pristine air quality thanks to its advanced environmental control systems. artificial rainfall helps balance the region's climate, ensuring that both agriculture and ecosystems thrive in a sustainable way.

დ࿐ ‎˗ˋ security. Virelia's government promises safety and order, with AI-driven law enforcement and near-complete surveillance throughout the city. While this has reduced crime, it has also led to a society where privacy is almost nonexistent. there are whispers of corruption and a power struggle between mega-corporations and the state apparatus, but these are rarely seen by the public eye.

დ࿐ ‎˗ˋ infrastructure. the state boasts hyperloop systems for rapid transportation, vertical farming to maintain food supplies, solar-powered highways, and drone-based delivery networks that make logistics seamless and efficient. the city is powered by renewable energy sources, making it one of the most environmentally friendly cities on Earth.

*ೃ༄government

Virelia operates as a technocratic-republic hybrid, where leadership is shared between elected officials and influential corporate leaders, scientists, and engineers. while democracy is maintained on paper, the wealth and power held by corporations, especially megacorporations like Orbis, have a significant influence over the decision-making process.

𓂃 ࣪˖ ִֶָ☆ the core assembly. a ruling body made of 50% elected officials and 50% appointed technocrats from approved corporate, scientific, and engineering councils.

𓂃 ࣪˖ ִֶָ☆ citizen score index (CSI). citizens are ranked via a complex index measuring productivity, compliance, social behavior, and cybernetic compatibility.

𓂃 ࣪˖ ִֶָ☆ the data purity initiative. Virelia heavily regulates access to public data and surveillance feeds. those who attempt to mask or alter their data trail risk demotion in social status or even imprisonment.

დ࿐ ‎˗ˋ a controlled utopia. on the surface, Virelia is a utopia, offering its citizens a high standard of living, access to the latest technology, and the promise of a pollution-free environment. however, this idealized world comes at a cost—strict regulations on cybernetics, data privacy, and social freedoms. citizens are encouraged to embrace technology, but those who resist are often marginalized or silenced.

✧˖*°࿐the city

neovista is a megacity — a glittering neon spire among the clouds and an undercity of grit and rebellion. It’s a contradiction: a technological utopia resting on a foundation of exploitation and resistance.

დ࿐ ‎˗ˋ common mods. ocular overlays, subdermal HUDs, neural ports, smart limbs.

*ೃ༄black market and underground tech

located beneath the official grid of Neovista, in the Vein or the Undervault.

დ࿐ ‎˗ˋ traders deal in: ☆ 𓂃 › memory-modding tech ☆ 𓂃 › neural firewalls ☆ 𓂃 › blackbox implants ☆ 𓂃 › emotion regulators ☆ 𓂃 › discontinued weapon augmentations

hackclans (like SpiralZero or Echo Drift) operate in these markets, building custom tools to counter HALO’s surveillance net.

while Orbis Corporation and other megacorporations offer cutting-edge cybernetics, there is a thriving black market for illegal modifications and illicit technology. from hacked neural implants to stolen AI software, the underground tech scene is a dangerous place but provides an outlet for those who cannot afford or do not want to abide by the official channels.

𓂃 ࣪˖ ִֶָ☆ pirates and hackers: groups like The Shattermen exploit these underground markets, seeking to disrupt corporate control by stealing and redistributing technology. they often employ cybernetic pirates who operate outside the law, dealing in anything from illegal AI software to underground body augmentations.

*ೃ༄energy & environmental tech

𓂃 ࣪˖ ִֶָ☆ skyharbor towers: pull moisture and solar energy, creating perpetual artificial rainfall and maintaining air quality.

𓂃 ࣪˖ ִֶָ☆ cryoroot systems: bioengineered roots that store solar power and regulate temperature in city zones.

𓂃 ࣪˖ ִֶָ☆ ecozones: each district has its own energy quota; exceeding it triggers rolling blackouts in poorer sectors.

virelia is powered by renewable energy sources like solar and wind, and artificial rainfall systems maintain a stable climate. advanced energy storage technology allows the city to operate efficiently even in low-light conditions.

the city uses vertical farming and aquaponics to maintain food production in a way that integrates seamlessly into urban spaces, providing sustenance for its citizens without relying on traditional agricultural methods.

*ೃ༄transportation & infrastructure

𓂃 ࣪˖ ִֶָ☆ hyperloop arteries: Connect districts with high-speed magnetized transit tubes.

𓂃 ࣪˖ ִֶָ☆ skyrails: glass-bottomed tramways suspended between megastructures.

𓂃 ࣪˖ ִֶָ☆ drone skynet: hundreds of drones transport packages, law enforcement supplies, and emergency aid across the city.

𓂃 ࣪˖ ִֶָ☆ vertical cities: skyscrapers built as self-contained ecosystems—residential, commercial, medical, and agricultural facilities stacked together.

neovista's transportation system is revolutionary, with hyperloop networks connecting different districts, allowing for ultra-fast travel. drone-based delivery systems handle everything from groceries to medical supplies, and personal autonomous vehicles are common on the roads.

the city has designed solar-powered highways and green rooftops that house both parks and renewable energy infrastructure.

*ೃ༄law enforcement & governance

𓂃 ࣪˖ ִֶָ☆ enforcement is done by VEC and HALO drones. there are no beat cops — instead, predictive policing algorithms determine where violence might happen and deploy units in advance.

𓂃 ࣪˖ ִֶָ☆ citizen compliance officers (CCOs) are citizens elevated by the CSI system, acting as civilian enforcers with surveillance privileges.

most investigations are conducted digitally—by scanning memory logs, personal feeds, and neural output rather than physical clues.

*ೃ༄cybernetics & body augmentations

cybernetic normalization is pervasive in Neovista. while minor enhancements like augmented vision, neural interfaces, and biomechanical limbs are common, full-body conversions are rare and often subject to strict regulations.

body augmentations are not just a physical enhancement but have become part of the culture. the wealthy often choose to augment themselves for beauty or efficiency, while those in the slums might use augmentations to survive or gain an edge in the fight for resources.

*ೃ༄technology in neovista & virelia

neovista represents the pinnacle of technology, where AI and humans coexist, yet there is a deep tension between innovation and freedom. virelia’s citizens enjoy unparalleled access to technology but must constantly navigate the surveillance state and corporate control.

virelia’s technology fosters a sense of constant progress, but this has made the city and its citizens vulnerable to the very forces they sought to escape—power, control, and the erosion of personal freedoms.

*ೃ༄visuals.

⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣷⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⡇⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣾⣿⣿⠀⠀⢸⣧⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⣼⣿⣿⣿⣧⡀⢸⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠰⠶⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡶⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠈⠙⢿⣿⣿⣿⡿⠋⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⢿⣿⡿⠀⢰⣿⣿⣷⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⠇⠀⣾⣿⢹⣿⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠈⣿⢀⣼⣿⠃⠀⢻⣿⣄⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⣸⣀⣠⣿⣿⡿⠁⠀⠀⠀⠻⣿⣶⣤⡀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠠⣴⣶⣾⣿⣿⣿⣛⠁⠀⠀⠀⠀⠀⠀⠀⢙⣻⣿⣿⣷⣶⣦⡤ ⠀⠀⠀⠀⠀⠀⠀⠈⠉⣿⡟⠿⣿⣷⣦⠀⠀⠀⠀⣀⣶⣿⡿⠟⠋⠉⠉⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⢰⣿⣧⠀⠀⠙⣿⣷⡄⠀⣰⣿⡟⠁⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⣼⣿⣿⡄⠀⠀⠘⣿⣷⢰⣿⡟⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⣠⣿⣿⣿⣧⠀⠀⠀⢹⣿⣿⡿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⢀⣠⣼⣿⣿⣿⣿⣿⣷⣤⡀⠘⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠤⣶⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡧⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠉⠙⠻⢿⣿⣿⣿⣿⣿⣿⠿⠛⠉⢹⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠈⢻⣿⣿⣿⡿⠃⠀⠀⠀⢸⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⣿⣿⣿⠃⠀⠀⠀⠀⢸⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⢹⣿⣿⠀⠀⠀⠀⠀⠈⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠘⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀

✦ ˚ — THE MAIN DISTRCITS

☆. MIRROR DISTRICT —

☆. U DISTRICT —

☆. DREAM DISTRICT —

☆. 127 DISTRICT —

[mariacallous]

The US Patent and Trademark Office banned the use of generative artificial intelligence for any purpose last year, citing security concerns with the technology as well as the propensity of some tools to exhibit “bias, unpredictability, and malicious behavior,” according to an April 2023 internal guidance memo obtained by WIRED through a public records request. Jamie Holcombe, the chief information officer of the USPTO, wrote that the office is “committed to pursuing innovation within our agency” but are still “working to bring these capabilities to the office in a responsible way.”

Paul Fucito, press secretary for the USPTO, clarified to WIRED that employees can use “state-of-the-art generative AI models” at work—but only inside the agency’s internal testing environment. “Innovators from across the USPTO are now using the AI Lab to better understand generative AI's capabilities and limitations and to prototype AI-powered solutions to critical business needs,” Fucito wrote in an email.

Outside of the testing environment, USPTO staff are barred from relying on AI programs like OpenAI’s ChatGPT or Anthropic’s Claude for work tasks. The guidance memo from last year also prohibits the use of any outputs from the tools, including images and videos generated by AI. But Patent Office employees can use some approved AI programs, such as those within the agency’s own public database for looking up registered patents and patent applications. Earlier this year, the USPTO approved a $75 million contract with Accenture Federal Services to update its patent database with enhanced AI-powered search features.

The US Patent and Trademark Office, an agency within the Department of Commerce, is in charge of protecting inventors, awarding patents, and registering trademarks. It also “advises the president of the United States, the secretary of commerce, and US government agencies on intellectual property (IP) policy, protection, and enforcement,” according to the USPTO’s website.

At a Google-sponsored event in 2023, Holcombe, the author of the guidance memo, said government bureaucracy makes it difficult for the public sector to use new technologies. “Everything we do in the government is pretty stupid, when you compare it to the commercial world, right?” he said. Holcombe specifically cited cumbersome budgeting, procurement, and compliance processes, arguing that they hamper the government's ability to rapidly adopt innovations like artificial intelligence.

The USPTO is not the only government agency to ban staff from using generative AI, at least for some purposes. Earlier this year, the National Archives and Records Administration prohibited the use of ChatGPT on government-issued laptops, according to 404 Media. But soon afterward, the National Archives hosted an internal presentation that encouraged employees to “think of [Google’s] Gemini as a co-worker.” During the meeting, some archivists reportedly expressed concerns about the accuracy of generative AI. Next month, the National Archives is planning to release a new public chatbot for accessing archival records developed with technology from Google.

Other US government agencies are using—or avoiding—generative AI in different ways. The National Aeronautics and Space Administration, for example, specifically banned the use of AI chatbots for sensitive data. NASA did decide, however, to experiment with the technology for writing code and summarizing research. The agency also announced last week that it’s working with Microsoft on an AI chatbot that can aggregate satellite data to make it easily searchable. That tool is available only to NASA scientists and researchers, but the goal is to “democratize access to spaceborne data.”