Service As A Software: How AI Redefines Business?
agination. Professional expertise is now just a click away, faster, smarter, and more affordable than ever. This shift has redefined SaaS not just Software as a Service, but Service as a Software. In this blog, we will learn what is Service as a Software and How AI can Redefine Business? Need For Service as a Software – Traditional SaaS Challenges It’s been years that businesses depend on traditional Software as a Service to make operations efficient but there is a gap that remains. Saas that businesses use still require human expertise to operate. From marketing campaigns to analyzing financial data and optimizing supply chains, businesses need skilled professionals to drive results and make informed decisions. It opens up many challenges for businesses like: How Service as a Software (SaaS 2.0) Solves These Challenges Saas 2.0 or Service as a Software represents the new era of AI based digital transformation for businesses. It offers autonomous, intelligent and scalable solutions to replace manual efforts of humans and decision making. Traditional Software as a Service which provides cloud-based tools always requires user input. In contrast, Saas 2.0 functions as an expert system as it has underlying technologies like AI and machine learning to complete all tasks independently. If businesses adopt Service as a Software, industries can achieve: Industry-Specific Benefits of Service as a Software Boxed software can be according to basic business needs but it sometimes falls short in addressing the unique challenges of specific industries. Industry-specific service as a software offers greater customization, efficiency, and support, helping businesses streamline operations and gain a competitive edge. Below are the key benefits for dealers looking to maximize their software investment. Finance & Banking: Conventionally financial analysis and risk assessments were only done by teams of experts but it was prone to delays and high operational costs. But, AI integration in fintech platforms can provide real-time credit scoring, fraud detection, and automated investment advisory without human intervention. On the other hand, banks and hedge funds must integrate AI-powered risk assessment and algorithmic trading to stay competitive. Healthcare & Pharma: In the healthcare industry and pharma, there is limited scalability as the tasks like medical diagnostics, drug discovery, and patient management have to be dependent on highly skilled professionals. The challenges can be solved by automated diagnostic software. It can help detect diseases from imaging scans, predict patient deterioration, and suggest treatment plans faster than doctors. That’s why hospitals and pharmaceutical companies should pay attention and decide to integrate service as a software like AI predictive analytics and RPA (Robotic Process Automation). It will not only improve patient care but also help with drug discovery. Legal & Compliance: The major problems of compliance sectors are manually done tasks like legal research, contract analysis, and compliance audits. These tasks are time-intensive and require costly legal professionals. But the solution lies in AI-based legal platforms that can draft contracts, conduct due diligence, and monitor regulatory compliance instantly. This is why, law firms and corporate legal teams should adopt AI-powered contract lifecycle management to reduce costs and improve efficiency. Marketing & Advertising: Marketing and advertising companies traditionally rely on manual A/B testing when running ad campaigns. It is just a guesswork which can lead to suboptimal performance. AI in marketing and advertising can help predict real-time consumer behaviour tracking and content creation that in result will maximize ROI. Brands and agencies can transition their business to clients by implementing AI driven marketing automation for hyper-personalized customer engagement. E-commerce & Retail: Inventory management, pricing optimization, and customer personalization require vast human resources. AI in ecommerce and in retail can automate demand forecasting, dynamic pricing, and chatbot-based customer service. It will also enhance sales performance. Retailers must integrate service as a software with AI-powered recommendation engines and automated logistics for seamless scalability. Manufacturing & Supply Chain: The major drawback that supply chain and manufacturing industry face is inefficiency with inventory management, demand prediction and logistics. AI in the supply chain can track real-time inventory with predictive maintenance and route optimization in logistics. However, if manufacturing industries and supply chain companies get AI based predictive analytics in service as a software, they can automate and minimize disruptions to enhance overall productivity. Why Businesses Need to Implement Service as a Software Now! It’s now or never. Because the transition from Software as a Service to Service as a Software is a necessity to remain competitive in an era where automation, efficiency, and scalability define success. There are successful examples like salesforce, slack, mailchimp and zoom. Seeing them, businesses must invest in AI-powered SaaS solutions to: Transform Your Business with AI-Powered Service as a Software OptimusFox is a web3 development company providing AI development services to transform companies worldwide. Our team is expert in AI app development, mobile solutions, and robotic process automation (RPA). We strive to help businesses move beyond traditional SaaS by integrating intelligent automation solutions like service as a software and white label software solutions that scales effortlessly. No matter, if you are looking to streamline your enterprise operations or to enhance your customer engagement or automate complex workflows in an organization, our cutting-edge solutions will help you to reduce costs, boost efficiency, and drive growth. Wrapping Up It is evident that AI is now the consultant, designer, and researcher and it can automate almost every task that once required human effort. Additionally, it does not eliminate the whole human intervention but human AI collaboration can make a transition. As you know, traditional SaaS offered cloud-based software on demand; now, AI is taking it further, delivering professional services as intelligent, automated solutions available anytime, anywhere. This means, Service as a Software (SaaS 2.0) doesn’t just offer tools but it also assists companies with AI-driven solutions to act as the expert, making decisions, analyzing data, and delivering real-time solutions without human intervention. Additionally, industries that delay adoption risk falling behind as AI-driven SaaS solutions become the standard for efficiency, innovation, and profitability. The question is no longer if AI will take over
List of 10 Top Blockchain Development Companies of 2025
Blockchain technology disrupted many industries over the past decade. It has redefined how we approach digital trust, transparency, and decentralization. The global blockchain market is expected to reach $39B by 2025, reported by FinanceMagnates. This report shows that it is not a blip but a future innovation. Many companies have already invested in blockchain projects and some have incorporated blockchain into their existing products and processes. From healthcare to education and finance, blockchain brings decentralization to every sector. But, with so many players in the market, finding the right blockchain development partner, such as Top Blockchain Development Companies, can feel like searching for a needle in a haystack. In this article, we have compiled a list for you to explore 10 top blockchain development companies of 2025 and their contribution to blockchain development. Criteria to Shortlist Top Blockchain Development Companies Selecting the best and top blockchain development companies is not easy. That is why, we have set a criteria to evaluate some of the best ones. Below are some of the factors that will be helpful for us to identify the most capable blockchain development firms: Top 10 Blockchain Development Companies of 2025 Blockchain is a necessity these days and businesses constantly look for best blockchain development partners. In the evolving landscape, it is not an easy task. Check the list of top blockchain development companies and explore each company evaluated on the basis of their expertise, portfolio, innovation, client reviews, team size, industry recognition, pricing, and support services. 1. OptimusFox OptimusFox is a leading web3 and blockchain development company that is focused on solving bigger industrial problems using nascent technologies. They help businesses integrate cutting-edge technologies for productivity and growth. Their team excels in implementing innovative strategies and platforms like hyperledger blockchain development to establish a strong presence of any business in the digital landscape. Moreover, they hear the project details first, you can set up a meeting with them by just filling up the contact form and the team will then evaluate your problem and identify your use case and propose you with a solution that is scalable and take your business to the next level. Their Expertise: OptimusFox distinguishes itself as a top blockchain development company as they provide comprehensive Web3 and blockchain development services, AI solutions, and other professional digital services. Whether for startups or large enterprises, they offer expertise in custom blockchain solutions, NFT marketplace development, metaverse applications, smart contracts, and more. Other Information: 2. IBM Blockchain IBM Blockchain is an enterprise blockchain solutions provider. They are an industry leader as they integrate secure, scalable, and efficient distributed ledger technologies in businesses. With 10 years in the industry, they have developed industry-leading blockchain applications that power supply chains, finance, healthcare, and beyond. Their Expertise: IBM specializes in Hyperledger Fabric-based solutions, permissioned blockchain networks, and integration with cloud and AI-powered applications. Their blockchain offerings cater to businesses looking for enterprise-grade solutions backed by IBM’s robust infrastructure. Other Information: 3. ConsenSys ConsenSys is a top blockchain service provider, excels in Ethereum. They offer solutions to enterprises and developers. Their major focus is creating decentralized applications (dApps), Web3 solutions, and blockchain infrastructure to power the next generation of digital economies. Their Expertise: ConsenSys is the creator behind MetaMask, Infura and Truffle. They provide Ethereum-based blockchain services, smart contract development, DeFi solutions, and enterprise-grade Web3 applications. Other Information: 4. Ripple Ripple is a blockchain development company related to the Finance industry. It is known for revolutionizing cross-border payments through blockchain technology. Their flagship product, RippleNet, allows financial institutions to conduct fast, secure, and low-cost transactions globally. Ripple is also the company behind XRP, a digital asset optimized for payments. Their Expertise: Ripple specializes in blockchain-powered financial services, particularly in payment processing, liquidity solutions, and cross-border remittances. Their technology is designed for banks, payment providers, and digital asset exchanges. Other Information: 5. Accenture Accenture is a global consulting and technology powerhouse. They are a top blockchain company as they deliver cutting-edge blockchain solutions to enterprises worldwide. With its deep industry knowledge and strong technology partnerships, Accenture provides end-to-end blockchain consulting and development services. Their Expertise: Accenture focuses on blockchain strategy, supply chain solutions, identity verification systems, and enterprise-grade blockchain integration. They work with platforms like Hyperledger, Ethereum, and Corda. Other Information: 6. LeewayHertz LeewayHertz is a best blockchain development company that specializes in building enterprise-grade decentralized applications. With a focus on innovation, they provide scalable blockchain solutions tailored to business needs. Their Expertise: LeewayHertz offers development on Ethereum, Hyperledger, Stellar, and Tezos, specializing in blockchain consulting, smart contracts, and enterprise solutions. Other Information: 7. Blockchainx BlockchainX is a leading company, founded in 2017, that specializes in providing blockchain and cryptocurrency development services. We deliver excellent services that give businesses a competitive edge & help clients grow by taking a unique approach & focusing on quality. Their Expertise: Our blockchainX team brings strong project management skills as well as a track record of successful projects in this emerging industry. Other Information: 8. 10 Pearls 10Pearls is a custom blockchain development company that helps companies set up Blockchain networks for their business and create secure decentralized databases to help store data, manage supply chains, handle transactions, or any other business needs that Blockchain can solve without jeopardizing privacy. Their Expertise: They offer development on Ethereum, Hyperledger, Stellar, Ripple, IPFS and Tezos, specializing in smart contracts, and enterprise solutions. Other Information: 9. SoluLab SoluLab is one of the top blockchain development companies that has experienced blockchain developers in the US for building Blockchain Games, Ethereum Token, Web 3.0, and Defi. Their Expertise: Solulab is a popular name in blockchain app development and protocol development, dApps development, blockchain-powered Metaverse apps, etc. Other Information: 10. PixelPlex PixelPlex is a blockchain development firm that has been in the game since 2013. They have been helping corporations and startups alike maximize their efficiency via blockchain technologies. Our extensive DLT expertise enables us to create complete and secure digital solutions that generate revenue and meet your business
Kimi AI: China’s Another AI Drop To Redefine AI Reasoning
China is advancing AI at a breakneck pace. After Deepseek r1 headlines, another company named Moonshoot AI dropped Kimi AI 1.5. It is a model that is routing superior to Open AI GPT-4o and DeepSeek AI r1 model. The best part of Kimi AI is that it shows advancements in multimodal reasoning, long-context understanding, and real-time data processing, raising questions about the future of AI dominance. For the record, there’s a long-standing cliché: the U.S. innovates, China replicates, and Europe regulates. But we’re not here to dwell on geographic stereotypes. Instead, we’re looking beyond them to assess how Kimi AI k1.5 is disrupting the AI industry and what its rise means for the future of artificial intelligence: The Startup Behind Kimi AI – Moonshot AI Moonshot AI was founded in 2023 by the youngest CEO Yang Zhilin and is now one of the top AI companies. The company may be new but its rapid growth in AI is remarkable. According to stats, the company secured major funding from Alibaba, Tencent, and other investors, raising its valuation to $3 billion in just one year. What Is Kimi AI? Kimi AI is introduced by a company named Moonshot AI which is a Beijing-based startup. Kimi AI is a large language model (LLM) that understands and generates human-like text responses, particularly in Chinese. Amazingly, this AI tool can handle up to 2 million Chinese characters in a single prompt. It is a highly effective model to analyze lengthy documents and handle complex tasks. Moreover, Moonshot AI is positioning Kimi as a cost-effective yet powerful alternative to the frontier models. It can surpass models in performance like OpenAI’s GPT-4 and DeepSeek’s latest iterations. How Is It Different From Other Frontier AI Models? OpenAI is designed to solve complex problems by breaking them into small pieces. But Kimi k1.5 is better at handling math and coding problems while working with multiple types of data such as text, images and videos. It is setting new records in multiple areas like in advanced reasoning it scored 77.5% which means its surpassing other models. In complex mathematical problem solving it achieved an impressive 96.2 which is exceptional accuracy. Moreover, in visual understanding tests it scored 74.9% which means it has advanced abilities to process images and graphics. This means, Kimi k1.5 is faster and more versatile than any other. It can handle a variety of tasks, like math, coding, and processing text, images, and videos, more efficiently. Unlike DeepSeek-R1, which mainly focuses on text, Kimi k1.5 is more powerful and flexible. Moreover, there is another important fact that Kimi k1.5 costs less to develop than similar AI models in the U.S. The creators of Kimi believe it can compete directly with OpenAI’s O1, and its strong test results support this claim. What Sets Kimi AI 1.5 Apart? Kimi AI is not less than GPT like models. It has advanced AI model capabilities that are pushing the boundaries of reasoning, multimodal intelligence and real time data retrieval. Let’s see some of the features that sets Kimi from the competition in AI industry: Extended Context Memory: Kimi AI can handle 128k tokens at once. It makes it an ideal AI model for processing long-form documents and conversations without losing context. Existing models struggle with memory limitations so when you work with extensive research papers, tech documentations and in-depth research, Kimi AI k1.5 can be your go-to to get continuity and accuracy. Free and Unlimited Access: Existing AI tools come with subscription fees but Kimi AI is free and provides unlimited access to users which makes it an attractive option for users. However businesses and AI enthusiasts can use Kimi AI without any upfront costs. Real-Time Web Browsing: AI models rely on pre-trained data but Kimi AI 1.5 features real-time web browsing capabilities. It has the capability to scan over 1,000 websites instantly. It can pull up-to-date information to provide more accurate and relevant responses. Means that its prowess in financial analysis is already demonstrated by users. Kimi can assess stock trends and news in real time and this is something GPT-4 and DeepSeek currently struggle with. Multimodal Reasoning: Kimi is not text-based only but it can process multiple forms of data, including text, images, and charts. It has the ability to generate insights that consider multiple input sources. This feature makes it far more sophisticated than standard chatbots. AI Benchmark Performance: As mentioned earlier, Kimi AI 1.5 has outperformed GPT-4 and Claude 3.5 Sonnet in various technical benchmarks. This includes coding and mathematics. In the MATH 500, Kimi achieved an outstanding 96.2% accuracy rate proving that it is a high-level problem solver. The Future of AI: Rapid Expansion Moonshot AI’s Kimi model has surged from handling 200K Chinese characters in October 2023 to an astonishing 2 million by March 2024. This tenfold increase in just six months signifies a transformative shift in AI capabilities. This shows Kimi AI k1.5 is definitely showing a major shift in AI dominance. After deepseek AI launch and then kimi and qwen, China emerges itself as a serious contender in the race for artificial general intelligence (AGI). What This Means for AI’s Future and the Industry? Exponentially, AI models are becoming better at retaining and processing vast amounts of information within a single interaction. Kimi AI has revolutionized how AI handles long documents, research papers, coding tasks, and creative writing by enabling deeper comprehension and more nuanced responses. We don’t know about the future yet but since OpenAI, Google, and Anthropic are major players, Moonshot AI’s advancements suggest that China is positioning itself at the forefront of AI development. Sum and Substance – A New Wave of AI Development Competition After all the research and this article, we can say that Kimi AI stands out with its high reasoning power, long-context handling, and free unlimited access. It represents a significant leap in artificial intelligence reasoning, accessibility, and real-time processing. With backing from China’s biggest tech giants and a pricing model that undercuts its competitors,
DeepSeek vs ChatGPT: Can China’s AI Disrupt U.S. Tech Giants?
The recent launch of DeepSeek AI R1 model has turned heads in the AI Industry. According to China, they have spent only $6 million per training run on their model, compared to the tens of millions required for U.S. competitors. This is amazing right, the social is full of the buzz Deepseek vs Chatgpt? Moreover, Its commercial pricing is also impressively low. According to DocsBots Website mentioned by Statistica, with 1 million tokens costing only 55 cents to upload. This rapid success raises important questions: can a Chinese AI model truly challenge the U.S. AI dominators without sacrificing quality and security? In this post, we’ll compare cost and performance between top U.S. and Chinese AI infrastructures, to find out best open-source LLM mainly focusing on DeepSeek vs ChatGpt and others like Qwen, Gemini and Llama. We will also explore if China’s AI disruptors can truly outperform their U.S. counterparts. Understanding AI Infrastructure and LLM Costs AI infrastructure is a combination of hardware, software, and cloud services required to train and deploy AI models. When developing cutting-edge AI models like ChatGPT, Gemini, or DeepSeek, they require massive computational power which often involves specialized chips, vast datasets, and advanced training techniques. Typically, training a large language model (LLM) involves millions of dollars in computational costs. According to analysis, running ChatGPT costs approximately $700,000 a day. That breaks down to 36 cents for each question. The US models also demand extensive datasets, advanced algorithms, and constant tuning to ensure they perform at the highest level. Technical Components LLMs Require: The Evolution of AI Training Costs (2017-2023) The evolution of AI training costs has seen an astonishing rise over the years. It reflects the growing sophistication and scale of large language models (LLMs). AI training costs have soared from modest beginnings to reach hundreds of millions today. This rise reflects the growing complexity of large language models (LLMs). Let’s examine how the increasing sophistication of AI models has led to this sharp escalation in development expenses. The above image presents a fascinating timeline of AI model training costs from 2017 to 2023. It shows a dramatic increase in investment over the years. If you see the visualization, it notes that these figures are adjusted for inflation and were calculated based on training duration, hardware requirements, and cloud computing costs, according to The AI Index 2024 Annual Report. US AI Models – The Pioneers The U.S. has long been the leader in artificial intelligence development. Here are several tech giants that are driving innovation in tech space: It was developed by OpenAI and has revolutionized as conversational AI. With iterations like GPT-3 and GPT-4, it remains one of the most advanced models on the market. Training a model like ChatGPT costs upwards of $78 million, reflecting its complexity and the computational power required. ChatGPT app development costs can range anywhere between $100,000 to $500,000. The factors that affect the cost are the dataset’s size, the chatbot’s end-use case, the services, the features required, etc. Claude AI is created by Anthropic. The ai model has emerged as a leading conversational agent as it provides an alternative to ChatGPT with a focus on safety and alignment. The development costs are significant but vary depending on deployment and specific business use cases. Meta’s Llama series is a key competitor in the open-source AI space. While the models are cheaper to access for businesses, developing applications using Llama models still incurs considerable costs mainly for larger-scale integrations. Google’s Gemini is the most expensive AI model in terms of training costs, requiring $191 million for development. It’s designed to handle more complex datasets, including multimedia formats. Despite its higher costs, Gemini is known for its reliability and performance across various tasks. China’s AI Models: A Low-Cost Revolution Recently, China has begun making waves with its innovative, cost-effective alternatives. Chinese companies are challenging the traditional AI ecosystem by introducing similar or better performance at a fraction of the price. Here are some of the newest models of AI: DeepSeek AI launch of its R1 model has sent shockwaves through the AI industry. With a development cost of just $6 million, DeepSeek has proven that cutting-edge AI can be achieved on a lean budget. Its pricing structure is also far more accessible, with 1 million tokens costing only 55 cents to upload. Despite the lower costs, DeepSeek’s model has earned strong performance reviews, often outperforming U.S. models in key benchmarks. Last night, Alibaba launched their AI offerings, including the Qwen series. It quickly gained traction as a viable alternative to expensive models like GPT-4. With a heavy focus on cloud-based AI solutions, Alibaba provides highly competitive pricing, ensuring that businesses can scale AI-powered applications affordably. Moonshot’s Kimi series is a rising star in China’s AI scene. But, it is a less-known AI architecture. However, the Kimi K1.5 has been praised for its efficiency and cost-effectiveness. As it is giving companies an affordable way to implement AI without compromising on quality. The Chinese AI model, ByteDance is known for revolutionizing social media through TikTok, ByteDance is also making strides in AI. Doubao 1.5 Pro is one of their leading LLMs, offering impressive capabilities at a significantly lower cost compared to its Western counterparts. Estimating AI Development Costs The cost of AI development varies greatly depending on the scale, complexity, and project requirements. From infrastructure to labor, software, and training, each component contributes to the overall cost. On average, businesses can expect to invest between $10,000 to $50,000 or more in AI projects. Key Cost Components: Cost Breakdown: Is DeepSeek-R1 Really a Threat? In particular, DeepSeek-R1 has been disruptive due to its low costs and strong performance. But longevity is controversial. However, that model only spends $6 million per training run, far less than models like ChatGPT or Google’s Gemini, which can cost tens of millions. Its commercial use pricing also reflects this, with 1 million tokens costing only 55 cents to upload and $2.19 to download, which is significantly cheaper than U.S.-based