In the ever evolving world of blockchain, numerous entrepreneurs and startups find themselves at the crossroads — where they are to make that all important decision of whether to go-ahead and launch a new-bee cryptocurrency or simply create a token on an existing blockchain. The approach you take can affect the technical foundations of your project, financial strategy, investor appeal, and long-term sustainability. Knowing the difference between cryptocurrencies and tokens is key to any founder making an entrance into the Web3 space where adoption of blockchain is happening in diverse industries, from supply chains, to healthcare, gaming and finance. In this post we will compare the main differences, advantages and disadvantages as well as use cases between tokens and custom cryptocurrencies to help you decide which is the best option for the goals of your startup. What is a Custom Cryptocurrency? A custom cryptocurrency is a digital currency that has been developed on its own blockchain. Consider Bitcoin, Ethereum and Litecoin. These are not just tokens — they are new digital currencies that run on their own decentralized ledgers which are created using ‘blockchain technology’. Creating a cryptocurrency typically involves: In other words, a cryptocurrency means owning the foundation and the currency — you build your own nation, complete with holdings, government and subjects. What is a Token? A token is a digital asset that is developed on an existing blockchain. Instead of building a blockchain from the ground up, you make use of an established blockchain ecosystem such as Ethereum, Binance Smart Chain, Solana, or Polygon. For example: Tokens can represent: In other words, setting up a token is faster, cheaper and easier than creating an entirely new cryptocurrency. Key Differences Between Cryptocurrencies and Tokens Here’s a breakdown to help you visualize the contrasts: Feature Custom Cryptocurrency Token on Existing Blockchain Blockchain Independent blockchain Built on another blockchain (Ethereum, BSC, etc.) Development Cost High (requires full blockchain build) Low (smart contract deployment) Time to Market Long (months to years) Short (weeks to months) Security Responsibility Full responsibility (must secure entire network) Inherited from host blockchain Scalability Depends on blockchain design Benefits from parent blockchain scalability Ecosystem Starts from zero Leverages existing ecosystem Regulatory Complexity Higher Moderate Examples Bitcoin, Ethereum USDT, SHIB, UNI Advantages of Launching a Custom Cryptocurrency Full Control Over BlockchainYou design consensus, block rewards, governance and network parameters. Brand CredibilityHaving your own blockchain is one way to make your startup seem more innovative and autonomous. No Dependency on Host Chain You’re not dependent on the technical limitations or fee structures of Ethereum or other chains. Scalability Potential You can design your blockchain to address specific use cases (e.g., quick micropayments or supply-chain systems). Long-Term VisionIf you want to develop your own ecosystem (such as Ethereum or Solana), a cryptocurrency gets you there.Community DevelopmentYou can involve other developers in the community to build on your native blockchain. Disadvantages of Launching a Custom Cryptocurrency High Development CostsDeveloping a blockchain must be implemented by a skilled team of developers and requires security audits and infrastructure costs. Custom Cryptocurrency: $35,000 – $2,50,000+ (complexity, audits, infrastructure etc.) Longer Time to MarketIt can take months or years to design, code and secure a blockchain. Adoption Challenges Without an ecosystem, your cryptocurrency might struggle to gain traction. Security RisksYou have to defend your blockchain from being hacked from experiencing an attack. Regulatory BurdenGovernments may regulate cryptocurrencies more heavily than tokens. Advantages of Launching a Token Faster Development It can take days or even weeks to launch an ERC-20 or BEP-20 token. Lower Cost No need to construct an entire blockchain — you can instead deploy a smart contract. Built-in EcosystemImmediately access wallets, exchanges, DeFi protocols, and developer communities. Security InheritanceThe tokens lean on the security of established blockchains, such as Ethereum. FlexibilityThis can cover anything: utility, governance, assets or NFTs. Disadvantages of Creating a Token Limited ControlYour project depends on the parent blockchain’s speed, fees, and upgrade schedule. Transaction Fees in Native Tokens Every transaction must be paid in the native blockchain currency (e.g., ETH for Ethereum, BNB for BNB Chain), not your own token. This can create a barrier for users. Network CongestionWhen the parent blockchain is overloaded, your token suffers high gas fees and slower performance. CompetitionWith thousands of tokens in existence, standing out requires strong marketing and community building. Regulatory RisksDepending on design, tokens may be classified as securities and subject to regulation. Scalability LimitsYour token inherits all scalability challenges of the host blockchain. When Should Your Startup Launch a Custom Cryptocurrency? Creating a cryptocurrency from scratch might be something that makes sense if your startup: Example: If you are building a new decentralized internet (like Polkadot) or a blockchain designed for gaming or IoT, then a custom cryptocurrency makes sense. When Does Your Startup Need a Token? A token is the best option if your startup: Example: If you’re building a DeFi protocol (think Aave), gaming NFT marketplace, or DAO governance system, a token makes sense. Cost Comparison: Cryptocurrency vs Token This contrast is why most startups begin with tokens and only switch to building custom cryptocurrencies when and if they achieve scale. Future Trends Conclusion The choice between custom cryptocurrency vs token is determined by your startup’s vision, resources, and timing. If you desire freedom, scalability, and full control—and you have the budget to sustain them—create a custom cryptocurrency of your own. If you value speed, cost efficiency, and an already developed ecosystem, a token is the smarter way to go. For the majority of startups, launching a token is the best way to test markets, raise funds, and gain adoption before needing a full blockchain. But if your master plan is to reinvent an entire industry with a custom blockchain, a cryptocurrency may be worth the extra investment. FAQs (Frequently Asked Question) What separates a cryptocurrency from a token? A cryptocurrency has its own blockchain, while a token doesn’t. Which one is more cost-effective to launch: a token or a custom coin? A token is significantly cheaper,
The world’s race to decarbonize its economy has never needed carbon markets more. More than 28% of global emissions fall under a carbon price as of 2025 and voluntary markets reached a half-year high of 95 million carbon credit retirements in the first six months of the year. Demand is there, but scrutiny is even more so — buyers want to know that every credit they purchase actually reflects a genuine and unique reduction in emissions. At the core of this is a series of carbon registries, the official record-keepers of issuance, transfer and retirement of credits. They have always been the trusted “source of truth.” But as markets grow in scale and digitize, blockchain-based systems are arriving to supplement them — offering transparency, programmability, and efficiency. The question isn’t whether blockchain will replace registries (it won’t), but how the two might coexist to enhance trust and efficiency. This blog explores what traditional registries like Verra or Gold Standard offer in comparison to blockchain platforms, and the pros, cons, and risks of bringing the two together. We’ll also consider recent developments, such as India’s Carbon Credit Trading Scheme, and the growing popularity of high-integrity credits — before we answer the questions on the lips of businesses and investors in 2025. A quick primer: what a carbon registry actually does A carbon registry functions as the central, immutable ledger for carbon credits, assigning each one a serial number and accompanying documentation that proves its origins and lifespan. These ledgers are the assurance that buyers can check to prevent the risk of double-counting, and they confirm the approved methodology, the lineage of ownership, and that a credit has been permanently retired. The largest registries at present are Verra, operating under its Verified Carbon Standard (VCS), and Gold Standard. Why this matters in 2025: The carbon market is systematically prioritising “high-integrity” credits. Assessments of additionality, permanence, leakage and the formal consent of the host country, as mandated under the Article 6 framework of the Paris Agreement, have become increasingly stringent. Registry metadata and on-label indicators are thus being enhanced to allow purchasers to filter and evaluate credit quality before committing capital. Where blockchain fits (and where it doesn’t) What blockchain adds (when done right): Tamper-evident audit trails. Tamper-evident audit trails. Such on-chain records can potentially be used to trace all credit movement and every loan, with links to the serials on the registry and to the documents proving verification. Programmability. With smart contracts, escrow, dvp, retire-on-evidence milestones can all be automated (e.g., IOT/satellite proof on nature projects). Interoperability & liquidity. Tokens can be used to represent claims, make it possible for fractional ownership and create secondary markets – subject to the condition that the token is cryptographically bound to the originating serial and retirement status. Each carbon credit can be represented as a unique NFT (non-fungible token), meaning that just as every registry-issued credit has a distinct serial number, its on-chain version can be minted as an NFT with embedded metadata (project ID, methodology, MRV hashes). This ensures 1:1 traceability between the registry unit and the blockchain representation. Limits & Risks: (lessons from 2021–2024): What’s new in 2025 (and why it changes the calculus) Risks to Monitor Duplicate tokens: A credit token lacking a current registry serial may be erroneously repeated. Weak methodologies: Blockchain can’t fix poor additionality or permanence—it just records data.Regulatory drift: Regulatory texts (e.g. Article 6, CCTS) evolve, requiring adaptive technical designs. Liquidity vs. quality: Markets are prioritizing integrity over speculation in 2025. Pros & Cons: Side-by-Side Aspect Traditional Registries Blockchain Layers Trust Accepted by regulators, airlines, and corporations. Adds transparency if linked properly; otherwise creates risk. Data Comprehensive but siloed, sometimes slow to update. Open, real-time records accessible globally. Efficiency Manual processes, limited automation. Smart contracts automate transfers and settlements. Risk Low, as long as registry governance holds. High if tokens are unbacked or duplicated. How they work together (the practical stack) Blueprint for 2025 infrastructures, suitable for both developers and buyers: Origin within a recognized registry (Verra or Gold Standard). Treat the registry as the definitive source for serials, holder data, and retirement events. The registry retains primacy. Create a permissioned, append-only on-chain replica, recording serials, approved methodology IDs, and hashes from the validation report. Frame tokens within strict boundaries: Leverage programmable contracts for delivery-versus-payment, escrow, and milestone releases—especially suited for nature-based projects with staged verification. Publish quality metadata—new GS labels and risk ratings—directly on-chain. This enables buyers to filter by integrity before executing transactions. Concrete signals in India: Both public and private sectors are advancing carbon-credit infrastructure, from regionally mandated carbon banks on Hedera to NABARD’s on-farm pilots. Growing demand is anticipated for digital MRV and interoperable slugs that externally settle while still keyed to the on-chart registry. Real-world examples (2025) Quick buyer checklist (2025) Bottom line Always treat the Verra and Gold Standard registries as authoritative for issuance, ownership, and retirement. Use the blockchain as an additive, not as an alternative, channel for transparent and automated processes—registry governance remains sovereign. NFT structures make sense only when each NFT directly mirrors a registry serial; without that link, they become shadow assets. Implement a 1:1 token-to-serial linkage with automated on-chain burn triggered by registry retirement, designed expressly to avert double counting. Synchronize with CCTS, CORSIA, Article 6 provisions, and the latest registry tags. The threshold for integrity is trending upwards, and 2025 data is already showing that buyers are steering toward supply that is evidently higher quality. FAQs Which is “better”: blockchain or traditional registries?Neither stands alone. Registries confer authority; blockchain brings speed and traceability. Can I make valid climate claims with just a token?No. Claims depend on a registry retirement (and any Article 6 or CORSIA stipulations). Tokens must cite those retirements. What statistics define 2025’s market?About 28% of emissions will sit under a carbon-priced system; retirements will hit 95 million in the first half of 2025—a record for any half. Does India’s CCTS allow tokenized trading?CCTS lays out compliance frameworks and targets; token frameworks must
Is your HRMS software struggling to keep up with user expectations? Imagine if it could predict what users need, make navigation a breeze, and boost its demand without extra effort. That’s the magic of AI! By transforming traditional HRMS systems into next-gen solutions, AI simplifies workflows, improves user experience, and sets your software apart from the competition. In this blog, we’ll show you how AI tackles common challenges, makes your HRMS stand out, and increases your profits. At Techaroha, we’ve done it for others, and it’s worked wonders. Ready to take your HRMS software to the next level? Let’s dive in! Why HRMS Needs to Evolve? Traditional HRMS software often struggles with several challenges that can make it difficult to stay relevant in today’s fast-paced business environment: The demand for innovative, AI-powered HRMS solutions is at an all-time high. Companies are looking for software that not only keeps up with modern trends but also enhances productivity and delivers a seamless user experience. To stay ahead in this competitive market, evolving your HRMS is no longer a choice—it’s a necessity. The Role of AI in Next-Gen HRMS Software Enhanced NavigationAI can completely transform how users interact with HRMS software. With predictive analytics, AI learns user behavior and anticipates needs, making navigation more intuitive and reducing time spent searching for information. Natural Language Processing (NLP) enables users to simply ask questions or make commands in natural language, bypassing complex menus. Combined with personalized user flows, AI ensures that each user’s experience is tailored to their role, improving efficiency and satisfaction. AutomationAI-driven automation takes over routine, time-consuming tasks, allowing HR professionals to focus on more strategic activities. For example, AI can automatically manage attendance by detecting patterns, flagging discrepancies, and sending reminders. It can streamline leave approvals by assessing requests based on company policies and historical data. Additionally, AI simplifies payroll by automatically calculating wages, deductibles, and tax compliance, ensuring accuracy and saving time. Decision SupportAI empowers HR leaders with actionable insights derived from data, enabling them to make better, data-driven decisions. Whether it’s identifying talent gaps, predicting employee turnover, or optimizing compensation strategies, AI provides real-time analytics to guide decision-making. By analyzing trends and performance metrics, AI helps HR teams anticipate future challenges, improve workforce planning, and implement strategies that support business growth. With AI, HRMS software becomes smarter, more efficient, and increasingly capable of meeting the demands of a modern workplace. 5 Reasons to Make Your HRMS Software Next-Gen 1. Boosts Efficiency and Saves TimeOutdated systems slow down HR processes, but a next-gen HRMS powered by AI can automate routine tasks like attendance tracking, leave approvals, and payroll. This can save up to 30% of HR teams’ time, allowing them to focus on strategic initiatives. Faster processes mean happier clients and a competitive edge. 2. Enhances User Experience with Smarter NavigationDid you know that 88% of users are less likely to return to a system with poor usability? A next-gen HRMS offers intuitive navigation through features like AI-driven search and personalized user flows. Happy users mean better adoption rates and long-term client retention. 3. Increases Market Demand and RevenueBusinesses are willing to pay more for advanced HRMS solutions that deliver real results. Studies show that AI-enabled HR systems can increase market demand by up to 45%. Integrating next-gen features ensures your software stands out, leading to more sales and higher profits. 4. Future-Proofs Your SoftwareWith modern workplace trends like remote work and hybrid teams, HRMS software must evolve. A scalable, AI-powered HRMS adapts to these changes, ensuring relevance in a rapidly changing market. This keeps your clients loyal and positions you as an industry leader. 5. Provides Data-Driven Insights for Better DecisionsAI can analyze vast amounts of HR data to provide actionable insights. For example, predictive analytics can identify talent gaps or flag potential turnover risks. Companies that leverage such insights see a 20% improvement in workforce planning and operational efficiency. By making your HRMS software next-gen, you not only meet current needs but also position yourself for long-term success in a growing market. Case Studies or Examples One of our success stories at Techaroha involves helping ABC Software Company integrate an AI-powered chatbot into their HRMS. This chatbot allowed employees to quickly check their remaining leaves by simply asking, and managers could instantly access a list of pending leave approvals. The result? Significant improvements in user adoption—employees found the system intuitive and easy to use, while managers experienced a faster approval process, saving valuable time. By incorporating AI, the HRMS became not only more efficient but also more user-friendly, which led to a boost in market demand. Other companies in the industry quickly took notice of the enhanced functionality and ease of use, helping ABC Software stay ahead of competitors. This example demonstrates how integrating AI into HRMS can streamline operations, improve user experiences, and increase demand for the software in a highly competitive market. How to Get Started? Integrating AI into your HRMS software doesn’t have to be overwhelming. Here are practical steps to get you started: Why Techaroha Is Your Partner for AI-Powered HRMS Development? Techaroha has extensive experience in creating innovative, AI-driven systems tailored to meet business needs. Our team specializes in: With a proven track record of delivering results, we ensure your HRMS evolves into a next-gen solution that stands out in the market. Conclusion AI is the key to transforming HRMS software into a next-gen solution that businesses can’t resist. By integrating AI, you’ll simplify workflows, enhance user satisfaction, and stay ahead of the competition. Ready to take the first step? Let Techaroha help you bring your vision to life!
In manufacturing industries, they’ve already jumped on board with Robotic , letting robots handle the heavy lifting. But here’s the million-dollar question: why isn’t the IT industry following suit? This begs the question: why do CEOs, COOs, and business owners have hesitation? What’s holding them back from letting robots tackle tough tasks, such as data entry and repetitive coding? In this article, we will explore why the IT and operations sectors are slower in adopting Robotics compared to manufacturing. It discusses reasons like misconceptions and outdated systems. It also shows how Robots can improve work and suggests ways to overcome obstacles. Why the Lag? Numerous factors contribute to the slow adoption of RPA in IT and Operations, supported by compelling data and reports: Limited Investment in RPA Expertise: According to a Forrester study, it is concerning that only 28% of organizations have established dedicated RPA teams. This shows a clear deficiency in skilled professionals who can effectively manage and expand RPA implementations. Feeling tangled by repetitive tasks and coding? Let Techaroha’s Robotic Process Automation be your solution partner! We have expertise in robotic automation to take your business to the next level, Contact us to know more. Advantages of Robotic Process Automation Robotic Process Automation (RPA) is a powerful solution that goes beyond buzzwords and brings a transformation to the table with its numerous benefits: Enhanced Accuracy: With RPA, accuracy is taken to new heights. Gone are the days of human error, as software robots carry out tasks flawlessly and without hesitation. This ensures clean and precise workflows, free from any typos, discrepancies, or mistakes. The result? Enhanced data integrity, dependable reporting, and minimized time and money spent on corrections. Streamlined Operations: Repetitive, low-value tasks are the bane of productivity. RPA automates these processes, freeing up human employees to focus on strategic initiatives that require ingenuity and critical thinking. This results in faster turnaround times, improved workflow management, and a significant boost in operational efficiency. Cost-Reduction Champion: By automating workflows, RPA significantly reduces reliance on manual labor. This translates to direct cost savings through reduced overtime, streamlined resource allocation, and even potential workforce consolidation. Additionally, eliminating errors and rework further minimizes operational expenses. Compliance Guardian: Ensuring adherence to regulations is crucial but often resource-intensive. RPA robots can be programmed to meticulously follow established procedures and protocols, guaranteeing consistency and minimizing the risk of non-compliance fines and reputational damage. Data-Driven Insights: RPA seamlessly integrates with existing data systems, enabling comprehensive data extraction and analysis. This empowers organizations to gain deeper insights into their operations, identify trends, and make data-driven decisions that optimize performance and profitability. After learning benefits we understand that RPA is a transformative force in the future of work, offering enhanced accuracy, streamlined operations, cost savings, and data-driven insights for organizations. Overcoming Barriers to Adoption To effectively implement Robotic Process Automation (RPA) in IT and Operations, organizations must overcome barriers and identify potential obstacles to optimize processes and drive efficiency. A. Awareness and Value Perception: Educational initiatives should be prioritized to enhance understanding among CEOs, COOs, and owners in IT and Operations sectors. Workshops, webinars, and industry conferences can highlight RPA’s transformative potential, showcasing successful case studies and tangible benefits. B. Infrastructure and Data Integration Solutions: Organizations must invest in modernizing their infrastructure and breaking down data silos to facilitate seamless RPA implementation. This may involve upgrading systems, adopting standardized data formats, and leveraging integration platforms. C. Communication and Reskilling Programs: Transparent communication about the role of RPA in augmenting human capabilities, rather than replacing them, is crucial. Additionally, comprehensive reskilling programs should be implemented to equip employees with the necessary skills to work alongside RPA systems. D. RPA Expertise Investment: Organizations should prioritize building internal RPA expertise by hiring or training dedicated teams of developers, analysts, and project managers. These teams can oversee the successful implementation, management, and scaling of RPA deployments, ensuring maximum ROI and long-term success. Future Outlook and Opportunities Discover the endless possibilities and exciting developments that await in the ever-evolving world of RPA: 1. Smarter Bots: As technology continues to progress, RPA bots will also evolve by utilizing AI and machine learning, making them smarter and more adaptable collaborators. 2. Smart Automation Partnership: The integration of RPA with AI and IoT will create a seamless network of efficiency across all operational processes, from data entry to predictive maintenance. 3. Everyone’s Automation: With the emergence of user-friendly RPA tools, employees without technical backgrounds will be able to automate tasks, making automation accessible across all departments. 4. Teamwork: As RPA takes on repetitive tasks, employees will have more time for strategic thinking and creativity, allowing for a dynamic symbiosis between humans and robots. 5. Digital Transformation Engine: RPA is pivotal in driving digital transformation, enhancing workflows, ensuring data accuracy, and fostering innovation in IT and Operations. The future of IT and Operations is ripe with opportunities powered by RPA. Embrace this robotic revolution, unleash your workforce’s potential, and propel your organization toward unparalleled efficiency and innovation. In conclusion, we have explored the factors contributing to the IT and operations industries lagging behind manufacturing in the adoption of RPA, despite its immense potential for development and advancement. CEOs, COOs, and owners need to embrace RPA’s ability to revolutionize work and drive efficiency, creativity, and operational excellence. It is time to embrace the power of automation and unlock the limitless potential it holds for IT and operations in shaping a brighter future.
