Metricoid Technology Solutions的动态

?? ???? ???? ???????????????????????? ?????????????????????????????? ???? ???????? and it's happening fast. This insightful piece by Pete Flint outlines why vertical SaaS will dominate ??. ?????? ??????????????????: ??????"???????????????? ???????????????? ?????????????????? ???? ??????": Deep expertise in a specific vertical is essential to creating true differentiation. Understanding the unique data, processes, and pain points of an industry is key to delivering precise, tailored solutions. ??? "????????????????, ????????????????, ????????????????": If your solution truly solves a vertical industry's problem with new AI processes, traction should be immediate. The first to crack the code and achieve Product-Market Fit will likely win................ big time ??. ? ???? ???? ????????????????????: User experience drives adoption. The simplicity and focus of a vertical solution are essential to standing out. ? ???????????????????? ???????? ???????????????????? ???? ???????????? ????????????????????: The real question is where the end-game will land. Will we see vertical solutions with embedded data layers (like CRM/ERP), or will they be built on top of existing horizontal SaaS environments? ???????? ???????? ?????????????? ???? ??????????????????. They should have both ?????????????????????? ?????? ???????????????? ?????????????????? to better support and evaluate new SaaS Vertical founders and solutions. ?? Are you ready to be the ????????-???????????????????? ??????????????? There’s no better time ???? ?????????????? ?? ???????????????? ???????????? ???????? ???????????????? ???? ????????. But remember, it’s a fast race—you need to be the quickest, with fast-thinking partners by your side. #SaaS #VerticaliSaaS #aievolution #startup #venturecapital BlackSheep Fund NFX https://lnkd.in/dt787Gnk

Emergent Ventures has published a bold and thought-provoking piece: Why SaaS Is Dead and the Future Is Agentic. This article explores the shift from traditional SaaS models to a new era defined by Agentic AI—AI systems that actively execute tasks autonomously on behalf of users. ?? Key Takeaways: - The End of SaaS as We Know It: Traditional SaaS is reactive, requiring users to input and manage tasks. Agentic AI flips the script, proactively performing tasks and delivering outcomes. - Autonomy is the Differentiator: Agentic systems are built to handle complexity, anticipate needs, and reduce friction, creating a transformative user experience. - Strategic Implications: For startups and incumbents alike, the shift to agentic AI demands a rethinking of product design, user engagement, and business models. Read the full article here: [Why SaaS Is Dead and the Future Is Agentic](https://lnkd.in/g4KbzB3h) How do you see Agentic AI reshaping industries? Let’s discuss below! ??

Very interesting read with some really interesting points made.

Akshay Patel shared good reasons on why GenAI struggling in production. https://lnkd.in/dbynynQU In our experience, the ,main reason for the struggle is DATA. yes we have seen GenAI solving cool content problems which are actually creating content fatigue. Real business decisions need good data. Data is generated as a result of complex human interactions and stored as graphs and tables, patterns, evolution and chaos which is very hard to be clean and never good at the first place. the API's are not used as intended, additional fields, custom tables, tables used for different purposes. The semantic intelligence layer is missing most of the times. As a result, we at DataGOL are going the Small-Data route, use case by use case, creating islands of good data and enabling data culture and data education to flow through through this supply chain of data. We believe this to be the path for AI transformation that many businesses are looking for and need.

SaaS Ramblings: The observed challenges of why companies struggle to get GenAI into production or scaled use. 1. Leadership announces a company wide GenAI strategy and everyone in the company builds a chatbot. This may be okay for some companies but if your business is not chat then think about long term management and maintenance. 2. There is no GenAI strategy. Why, Why now, What metric are we chasing, and What are we not going to do. Fueling experimentation with direction is key. 3. Not evaluating Buy, Build, Partner strategy. Get rapid consumption of GenAI in your organization by buying subscription services to create hands on experience of what works and doesn’t. If you have a specific use case buy 2-3 competing solutions so that you can compare. Build to experiment and learn but be clear on point 2. Without thinking twice, find partners who have talent to augment your team. 4. Lack of fundamentals. Always work backward from what you are building for customers. It’s either to improve value of existing offer, introducing new features with GenAI capability, or completely reimagining future experiences. 5. The current tech stack has tech-debt and modern technology adoption is a struggl. A simple clue is asking how robust is Identity and Security in your tech stack. 6. Lack of evaluating who in your existing customer base is most likely to pay for additional value you create for them. You have to go back to grass roots and think like a startup founder seeking truth for product market fit. Keep it simple, find 1 customer who will tell 10 others. I could add a few more but let me know what you think.

The SaaS ecosystem is unbundling, and we're witnessing the "verticalization of everything." In the coming years, expect several major AI-powered vertical SaaS companies to emerge. It's an exciting moment for startups. Here's what we mean:?https://lnkd.in/d7vqpEcJ Two major challenges face horizontal SaaS today: ? UX often lags far behind the consumer apps we use daily. ? One-size-fits-all solutions don’t meet the unique needs of specific industries. Interestingly, this dynamic also applies to AI—vertical AI, trained with industry-specific data, consistently outperforms generalist AI. These factors are coalescing to create an "unbundling" opportunity in B2B SaaS. Years ago, the Craigslist "online classifieds" model was unbundled into industry-specific marketplaces like Airbnb and Etsy. Horizontal B2B SaaS players are about to face the same. Industry-specific platforms, powered by AI, will "super serve" their niches, and the market for these is far bigger than people realize. More on our vision in the essay below:?

In a recent interview Satya Nadella said that SaaS is dead. Corporate SaaS based products will inevitably be replaced by AI Agents working on top of frameworks that provide the same functionality but with much higher Flexibility and of course a better interface than we are used to for these products. What seems interesting, is that in another round table discussion by Y-Combinator founders (one of the largest startup incubator in the world), they discussed how the next 300 unicorns are going to be SaaS replacements by Agentic companies. SaaS products have already become these behemoth systems that need to connect with other such products to provide a semblance of digital connectivity across corporates. With Agents, we will see the backend get reduced to "resources" - Data, content, compute, contracts, notifications, people etc. the logic, workflows and decisions will be left to the AI. Agents will truly democratize automation. Everyone will be able to build Agents that do the work based on their individual styles not unlike how they make their own documents and PowerPoint presentations. SaaS needs to change and embrace Agents, to get into a better afterlife.

Interesting take on how AI startups will disrupt B2B SaaS.??A couple points really resonated with me: (1) "The market for these companies is not the existing SaaS markets, but the cost of doing the entire work itself, a market we believe to be at least an order of magnitude greater. Previously ignored niches are becoming multi-billion dollar opportunities." (2) "Vertical AI tends to outperform generalist AI with sufficient, high quality training data and vertical specific features."

?? SaaS Trends to Watch in 2025: Staying Ahead of the Curve ?? The SaaS landscape is evolving rapidly, and staying updated on the latest trends is crucial for startups and scaling businesses. Here are 5 key trends shaping the future of SaaS: 1?? AI Integration ?? From smarter automation to personalized user experiences, SaaS platforms are embedding AI at their core. Businesses leveraging AI are seeing improved data analysis, smarter workflows, and greater efficiency. 2?? Vertical SaaS ?? Tailored solutions for specific industries are on the rise. Whether it's healthcare, ESG, or logistics, niche platforms are solving unique challenges with precision. 3?? Low-Code/No-Code Platforms ?? Empowering non-tech teams to build and customize apps without deep coding skills. This democratization is accelerating innovation across industries. 4?? Enhanced Security ?? With more sensitive data moving to the cloud, robust security measures and compliance protocols are more critical than ever. Clients demand trust, and SaaS companies are delivering. 5?? AI-Driven PPC Campaigns ?? Machine learning is optimizing pay-per-click strategies, refining targeting, and improving ad performance in real-time—helping SaaS businesses market smarter. ?? At Oktopeak, we’re embracing these trends to build scalable, high-performance SaaS platforms for startups and industry leaders. Whether you’re looking to integrate AI, scale securely, or launch faster, let’s talk about how we can help! ?? What trend do you think will have the biggest impact on SaaS in 2025? Share your thoughts below! #SaaS #AI #Innovation #Startups #TechnologyTrends

The SaaS Revolution: Embracing Consumption-Based Models in the AI Era The SaaS landscape is undergoing a seismic shift. Traditional software licenses are giving way to flexible, consumption-based models. As businesses demand greater scalability and personalized experiences, AI is emerging as a key driver of this transformation. Key Trends Reshaping SaaS 1. Pay-for-Value Pricing? Companies are moving from per-user to "pay for what you use" models. How are you aligning your pricing with actual value delivered?? 2. AI-Driven Optimization? AI is refining pricing strategies, enabling companies to deliver value beyond simple access. Are you leveraging AI to enhance your pricing model?? 3. Data-Driven Insights? Usage data is becoming crucial for service refinement and customer retention. How are you utilizing customer insights to drive growth? The shift to consumption-based models is reshaping business value and scalability in the SaaS sector. Surprisingly, these models often lead to more stable and predictable revenue streams, enhancing business stability. This scalability and adaptability are attracting significant investor interest, particularly for solutions that can meet diverse and evolving market demands. Moreover, the rich usage data generated by these models provides deep insights into customer behaviour, enabling companies to refine their services continually, boost retention, and drive sustainable growth. At Fuse Capital, we're supporting businesses in this transition by focusing on: - Analyzing user behavior to identify key features? - Aligning pricing strategies with delivered value? - Implementing agile development practices? - Building robust infrastructure for flexible billing Funding the Transition Shifting to a consumption-based model often requires significant investment in technology and analytics. At Fuse Capital, we specialize in providing tailored funding solutions to support this transition, including: * Growth capital for AI integration and infrastructure upgrades? * Venture debt to extend runway during the transition period? * Acquisition financing to consolidate complementary technologies How is AI affecting your pricing model and capital needs? Let's connect and discuss strategies to fund your SaaS evolution. #SaaSEvolution #ConsumptionBasedPricing #FundingGrowth #FuseCapital ? ?