Latest news with #n8n
Business Times
5 days ago
- Business
- Business Times
This AI startup went from US$350 million valuation to US$2.3 billion in four months
[LONDON] The venture capital firm Accel is leading a funding round for the German artificial intelligence (AI) startup n8n that would exponentially raise the valuation of the company to US$2.3 billion, sources familiar with the situation said. Accel beat vying offers from several investors including Insight Partners to lead the latest round, which is expected to raise hundreds of millions of euros for Berlin-based n8n, the sources said, asking not to be identified because the information is private. The US$2.3 billion valuation, up from roughly US$350 million just four months ago, is pre-money, representing the value of the company before the new investment, the sources said. Meritech Capital, a Palo Alto, California-based firm, is also expected to participate, one of them said. Accel and Insight declined to comment. N8n and Meritech did not respond to requests for comment. Media outlets, including the Financial Times, had reported in recent weeks that n8n was in talks to raise at a valuation of more than US$1.5 billion. The fact that the funding is now set to value the startup at well over US$2 billion is a testament to the strong demand for AI investments, particularly in Europe. Just in the past two months, the French startup Mistral AI was in talks to raise as much as US$1 billion in equity. Helsing, the German startup building AI for drones, more than doubled its valuation to 12 billion euros (S$18 billion). And the Swedish AI programming firm Lovable raised US$200 million to become a unicorn. N8n itself has seen rapid growth in recent months. It has surpassed US$40 million in annual recurring revenue, according to one of the sources, emerging as a breakout player in Europe's fast-growing AI application ecosystem. The company sells software designed to automate tasks for businesses, pitching its products as an easy means of incorporating so-called AI agents that can perform a multitude of duties on their own. Agents have been widely seen as the next frontier of AI, following chatbots. Founded in 2019, n8n raised 55 million euros in the March funding round that valued the company at about 300 million euros, one sources with direct knowledge of the deal said, asking not to be identified because the details were not public. Lead investor Highland Europe said at the time that n8n had secured major clients, including Vodafone Group and Delivery Hero and increased its annual recurring revenue five-fold in that past year. The startup itself has not disclosed its sales. BLOOMBERG
Bloomberg
5 days ago
- Business
- Bloomberg
This AI Startup Went From $350 Million Valuation to a $2.3 Billion in Four Months
The venture capital firm Accel is leading a funding round for the German artificial intelligence startup n8n that would exponentially raise the valuation of the company to $2.3 billion, people familiar with the situation said. Accel beat vying offers from several investors including Insight Partners to lead the latest round, which is expected to raise hundreds of millions of euros for Berlin-based n8n, the people said, asking not to be identified because the information is private. The $2.3 billion valuation — up from roughly $350 million just four months ago — is pre-money, representing the value of the company before the new investment, the people said.
Geeky Gadgets
28-07-2025
- Business
- Geeky Gadgets
Build an AI SaaS App in Minutes Writing a Single Line of Code
Have you ever imagined creating a fully functional AI-powered SaaS application in just minutes—without writing a single line of code? It might sound like a bold claim, but with tools like Claude Code and n8n, this is no longer a pipe dream. These no-code platforms are transforming how applications are built, empowering anyone—from seasoned developers to complete beginners—to craft scalable, automation-driven solutions. Whether you're an entrepreneur with a new idea or a creator looking to streamline workflows, the ability to design and deploy such applications quickly is a fantastic option. And here's the kicker: you don't need to be a coding wizard to make it happen. With the right tools and a clear framework, you can focus on solving real-world problems while technology handles the heavy lifting. In this guide, Ben AI walks you through the exact steps to build your own AI SaaS application using Claude Code and n8n. You'll discover how to define your vision, set up seamless automation workflows, and even design an intuitive user interface—all without touching complex code. Along the way, you'll learn how to use features like webhooks, response nodes, and database integrations to create a product that's both functional and user-friendly. But this isn't just about building an app—it's about unlocking the potential of no-code platforms to bring your ideas to life faster than ever before. So, whether you're dreaming of a content generation tool or a personalized marketing assistant, this framework will show you how to turn that vision into reality. The possibilities are endless; the only question is, where will you start? Build AI SaaS Easily 1: Define Your Vision Before diving into development, it's crucial to establish a clear vision for your AI SaaS application. Start by answering key questions to shape your concept: What problem does your application aim to solve? does your application aim to solve? Who is your target audience , and what are their specific needs? , and what are their specific needs? What inputs will users provide, and what outputs will they expect? For instance, if you're building a content generation tool, identify the type of data users will input (e.g., keywords or topics) and the desired output format (e.g., blog posts or summaries). Incorporating human-in-the-loop processes—where automation is complemented by human oversight—can enhance the application's functionality, making sure both accuracy and creativity in tasks that require nuanced judgment. 2: Set Up Automation Workflows Automation is the foundation of any efficient SaaS application. Tools like n8n simplify this process by allowing you to connect tasks and systems without writing code. To set up automation workflows effectively: Use webhooks to assist real-time data exchange between your application and external services. to assist real-time data exchange between your application and external services. Configure response nodes to process user inputs and trigger actions, such as running AI models hosted on Claude Code. For example, if your application generates personalized marketing strategies, you can automate the workflow to collect user inputs, process them through Claude Code, and deliver actionable results—all without manual intervention. This approach not only saves time but also ensures consistency in output. Build an AI SaaS in Minutes with Claude Code Watch this video on YouTube. Here is a selection of other guides from our extensive library of content you may find of interest on AI SaaS development. 3: Draft a Product Requirement Document (PRD) A well-structured Product Requirement Document (PRD) serves as the blueprint for your application. It ensures alignment across the development process and minimizes confusion. Claude Code can assist in generating a detailed PRD that includes: Database schema and data storage requirements. and data storage requirements. Automation workflows and their triggers. and their triggers. User experience (UX) design specifications. For example, if your application includes user authentication, the PRD should outline how credentials will be validated, how data will be securely stored, and the design of the login interface. A comprehensive PRD keeps your project on track and ensures that all stakeholders are aligned on the application's goals and features. 4: Build Your Application With your PRD in place, you can begin building your application. Start by setting up your development environment using tools like Claude Code, and Cursor IDE. Follow these steps to bring your vision to life: Implement the features outlined in your PRD, such as user authentication or data processing workflows. Integrate a database using platforms like Supabase for efficient data management. for efficient data management. Test each feature iteratively to identify and resolve bugs early in the process. For instance, if your application includes a chatbot, test its responses to various user queries to ensure accuracy and relevance. Iterative testing not only refines functionality but also enhances the overall user experience, making your application more reliable and user-friendly. 5: Design an Intuitive User Interface A user-friendly interface is a critical component of any successful SaaS application. Use design tools and templates to create a clean, intuitive layout that prioritizes usability. Focus on the following elements: Ease of navigation —users should be able to complete tasks with minimal effort. —users should be able to complete tasks with minimal effort. Accessibility —ensure the design accommodates diverse user needs, including those with disabilities. —ensure the design accommodates diverse user needs, including those with disabilities. Consistency—maintain a uniform look and feel across all pages to build familiarity. Gather feedback from potential users to identify areas for improvement. For example, if users find it difficult to locate a specific feature, consider redesigning the layout to make it more prominent. A well-designed interface not only improves usability but also enhances user satisfaction and retention. 6: Deploy and Host Your Application Once your application is complete, the next step is deployment. Use GitHub for version control to track changes and collaborate with team members. For hosting, platforms like Vercel offer a seamless deployment process and scalability. Follow these steps to deploy your application: Push your code to a GitHub repository . . Deploy the application to Vercel , configuring environment variables as needed. , configuring environment variables as needed. Test the live application to ensure all features function as intended. If you encounter issues, such as database connection errors, double-check your credentials and configuration settings. For a professional touch, connect your application to a custom domain to enhance its branding and credibility. 7: Add Features and Monetize To maximize the potential of your SaaS application, consider adding advanced features and monetization options. Here are some ideas: Integrate Stripe for secure payment processing, allowing you to monetize your application effectively. for secure payment processing, allowing you to monetize your application effectively. Create landing pages to attract users and highlight your application's unique benefits. Incorporate analytics tools to track user behavior and identify areas for improvement. If you're new to no-code development, start with simpler tools like Airtable to build confidence before transitioning to more advanced platforms like Claude Code. This gradual approach allows you to refine your skills while delivering a functional and market-ready application. Final Thoughts Building an AI-powered SaaS application has never been more accessible. By using no-code tools like Claude Code and n8n, you can streamline development, automate workflows, and deploy your application efficiently. Whether you're creating a simple utility or a complex platform, this guide provides a clear roadmap to bring your vision to life. With thoughtful planning, iterative testing, and user-focused design, you can deliver a high-quality, scalable application that meets the needs of your users while positioning yourself for long-term success. Media Credit: Ben AI Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Malaysian Reserve
25-07-2025
- Business
- Malaysian Reserve
Qubrid AI Redefines GPU Cloud with Pre-Built AI Templates, Seamless Developer Workflows and Flexible GPU Rentals
Instant AI environments for ComfyUI, n8n, PyTorch, Langflow & TensorFlow, plus a developer-friendly interface with SSH, Jupyter, VS Code, and new GPU rental plans MCLEAN, Va., July 24, 2025 /PRNewswire/ — Qubrid AI, a leader in hybrid GPU cloud solutions and AI infrastructure & tools, today announced a major upgrade to its GPU Cloud Rental Platform with the introduction of Ready-to-Deploy One-Click AI/ML Templates, a flexible developer interface, and expanded GPU rental options. These new features are designed to streamline AI workflows, enhance user experience, and make high-performance and GPU accelerated computing more accessible to AI developers, researchers, startups and enterprises. Key Highlights of the Release: AI/ML Templates: Quick-deploy templates for ComfyUI, n8n, Langflow, PyTorch, and TensorFlow, all pre-configured to run seamlessly on Qubrid's high-performance GPUs. Flexible Interface: Developers and AI professionals can work the way they prefer with support for SSH, Jupyter Notebooks, and VS Code for streamlined coding, testing, and deployment. User-Friendly Themes: A sleek, modern UI with both light and dark themes designed for enhanced usability and comfort during long development sessions. New GPU Rental Options: Expanded GPU rental plans including short-term on-demand, weekly and monthly rentals as well as long-term quarterly, six-monthly and annual GPU reservations, ensuring maximum flexibility and cost efficiency. 'With these enhancements, we're bringing the fastest path from idea to production for AI teams,' said Pranay Prakash, CEO of Qubrid AI. 'Our ready-to-deploy AI/ML templates and flexible GPU development environments mean that users can focus on building innovative AI applications instead of dealing with complex infrastructure setup.' Qubrid AI often referenced as a leading NeoCloud Platform offers GPU-as-a-Service (GPUaaS) offerings with an extensive catalog of Open Source and Hugging Face AI models for training, finetuning and inferencing with API access for AI developers. This latest update builds on Qubrid AI's mission to democratize AI innovation by providing powerful, cost-effective, and developer-friendly GPU cloud solutions. Call-to-Action:Developers and enterprises looking to accelerate their AI/ML workflows can start using Qubrid AI's new features today by visiting or contacting digital@ for enterprise pricing and custom solutions. About Qubrid AI Qubrid AI is a leading provider of hybrid GPU cloud and AI infrastructure solutions, combining the flexibility of public cloud with the control of on-premise systems. With advanced GPU resources, developer-friendly tools, and integrated AI/ML services, Qubrid AI empowers businesses, startups, and researchers to innovate faster and scale smarter. For press inquiries, please contact digital@
Forbes
14-07-2025
- Business
- Forbes
AI In Europe Is Booming And Going Decentralized By Design
Sandy Carter, Author of AI First, Human Always keynoting at ETHcc. Sandy is also the Chief Business ... More Officer of Unstoppable Domains. Sandy Carter AI is having a moment in Europe. From voice tech in Warsaw to satellites in Sofia, a new wave of startups is turning Europe into one of the most exciting AI ecosystems on the planet. But here's what makes this moment different: Europe isn't just scaling AI. It's reshaping how AI is built—from the ground up. According to Focus on Business, nearly 48% of all unicorns minted in 2025 are AI startups. It states that out of 23 new unicorns so far this year, 11 are AI-related—showing how AI has become a dominant force in startup valuations I saw this shift firsthand at ETHCC 2025 in Cannes. The Ethereum Community Conference was buzzing with builders, founders, and researchers. And what stood out most wasn't just the tech—it was the mindset. The future of AI won't be centralized. And in Europe, it never really was. A Wave of AI Unicorns Across the continent, companies are reaching unicorn status faster than ever before. In Paris, Mistral AI has become a household name. With a $6 billion valuation, it's Europe's open-source answer to OpenAI. Their models aren't locked behind paywalls—they're shared, forked, and improved by developers everywhere. Germany's n8n is doing for automation what GitHub did for code. Its open-source workflow engine now powers backend logic for AI agents and internal tools across thousands of teams. In Amsterdam, DataSnipper transformed one of the dullest enterprise tasks—auditing—into an AI-powered experience. It became the first EU unicorn of 2024. In June 2025, Munich-based Helsing closed a €600 million Series D round, led by Prima Materia (Daniel Ek's firm), valuing the company at €12 billion. Helsing builds AI-powered systems for drones, aircraft, submarines—and even autonomous fighter pilots—a clear example of Europe's high-end defence AI breakthroughs And Lovable, out of Sweden, hit $17 million ARR in three months. It's now one of the fastest-growing AI dev platforms in the world. Loveable has transformed coding with AI. Loveable AI Built Different: The European Approach Europe's AI edge isn't just about speed. It's about structure. According to EU Startup, Europe's AI startups saw 55% year-over-year growth in Q1 2025 investment compared to Q1 2024. Open source is everywhere. Companies like Mistral and n8n prove that open infrastructure scales faster, builds trust, and wins developer mindshare. Transparency isn't just a value—it's a growth strategy. In chatting with Karine Arama, Partner at SGH Capital in Paris, she told me that 'Europe is uniquely positioned to join the next wave of AI by embracing open-source principles, privacy-first architectures, and decentralized values. With strong regulatory foresight and a commitment to digital sovereignty, the region is turning trust and transparency into competitive advantages. From Mistral AI's open-weight models to Sesterce's decentralized compute infrastructure and Hugging Face's collaborative platform, a new ecosystem is surfacing - one where ethics, innovation, and independence are deeply intertwined.' Privacy is a default, not a feature. With regulations like GDPR and the new AI Act, startups here are incentivized to put user control and data protection front and center. That's a long-term moat, not a short-term constraint. And let's talk security. Switzerland's DeepJudge is tackling AI's dark side—data poisoning, prompt injection, evasion attacks. Their solution helps enterprise teams build AI with defense built in. The AI Infrastructure is Expanding—Even to Space Europe's ambitions go beyond apps and APIs. Bulgaria's EnduroSat raised $43 million to launch software-defined satellites. They're building orbital infrastructure that runs AI models in real time. Think weather, defense, communications—all powered from space. In Spain, Zylon is giving small businesses a private, plug-and-play AI suite that doesn't rely on U.S. cloud providers. That's a game-changer for regulated industries and sensitive data. And in the UK, companies like Stability AI and Isomorphic Labs are shaping entirely new categories. Stable Diffusion kicked off the open-source image generation wave. Isomorphic Labs, with over £400 million in backing, is applying AI-first thinking to drug discovery. Another noteworthy company is Tractable, a London-based insurtech pioneer. It reached its $1 billion valuation in June 2021 after its Series D and became one of Europe's first true AI unicorns . In July 2023, it further boosted growth with a $65 million Series E, led by SoftBank Vision Fund 2 Decentralized AI: What I Saw at ETHCC 2025 ETHCC 2025 in Cannes wasn't just about Ethereum. It was about the future of AI—and who will build it. I was there, live, keynoting, moderating and listening. And it was clear: Europe is leading the way on decentralized AI. One panel explored zero-knowledge AI—models whose decisions could be mathematically verified. Another unveiled agentic AI tools that govern DAOs, negotiate deals, and execute smart contracts. And even Silicon Valley founded companies believe that Europe has a big role to play. Zero Gravity Labs (0G) is headquartered in San Francisco and operates globally through a decentralized, remote-first model. CEO Michael Heinrich—speaking on ETHcc 2025—emphasized transparent, Europe-relevant infrastructure and historic resilience, pointing toward a strategic focus on European markets. CEO Michael Heinrich of Zero Gravity emphasizes the value of working in Europe Sandy Carter There was also a lot of buzz around decentralized compute marketplaces. Startups like Gensyn and Bittensor let anyone contribute GPU power to train AI models. That means open infrastructure, outside of Big Tech clouds. What stood out most? AI in Europe isn't just a product. It's a public good. AI Decentralization as a Strategy Europe isn't copying Silicon Valley. It's building its own model. In the U.S., we see consolidation—AI controlled by a few platforms. In Europe, we see distribution—tools that anyone can use, shape, or run on their own terms. This matches Europe's strength: industry-specific depth across many regions. The UK leads in life sciences. Germany is a force in industrial automation. France drives aerospace. The Nordics are pioneering sustainable AI. Switzerland, the Netherlands, and Belgium bring financial services, cybersecurity, and multilingual markets into the mix. This diversity gives Europe a superpower: it doesn't need one winner. It needs a network. And that's exactly what's forming. The Next Chapter for AI And Decentralized AI We're entering a new chapter—one where AI agents, decentralized infrastructure, and private AI platforms work together. Europe isn't just along for the ride. It's in the driver's seat. In the next year, I expect to see more AI unicorns built in smaller European cities. More models trained on open data, verified with cryptography. And more startups where trust, transparency, and sovereignty are part of the product itself. The opportunity is here. The talent is here. The infrastructure is here. And as I saw up close at ETHCC, Europe is ready to lead—not just in building powerful AI, but in building it differently. Did you enjoy this story about AI in Europe? Don't miss my next one: Use the blue follow button at the top of the article near my byline to follow more of my work.
