Ariel Mizrahi’s Post

RapidCanvas, an innovative AI platform for business transformation, raised $16 million in a Series A funding round led by Peak XV Partners, with additional investments from Titanium Ventures, Accel, and Valley Capital Partners. This funding brings the company's total to $23.5 million since its 2021 inception. The investment will support expansion efforts and enhance offerings, solidifying RapidCanvas as a leader in AI-driven business transformation. The company's reliable AI framework ensures validated and explainable results, enabling businesses to achieve remarkable outcomes within weeks. RapidCanvas tackles the rising challenge of AI adoption by leveraging AI agents capable of automating up to 75% of tasks usually managed by data scientists and engineers, utilizing large language models (LLMs) to efficiently process vast volumes of data, ultimately helping companies overcome traditional limitations and expedite AI implementation. RapidCanvas, a cutting-edge AI platform designed for businesses, provides industry-leading, off-the-shelf AI solutions that can be easily personalized by non-technical users via a conversational interface. Co-founders Rahul Pangam and Uttam Phalnikar established the company in 2021, offering an all-encompassing platform to guide business leaders and subject matter experts in developing, refining, and explaining their unique AI solutions. Users can create bespoke AI solutions without requiring data engineering or developer assistance. With approximately 20 to 30 clients, including prominent partners like AWS, Google, Azure, and Snowflake, RapidCanvas will initially concentrate on three main markets - the United States, India, and Brazil. Around 30-40% of the firm's revenue stems from India and the US, while the remainder originates in Brazil. Factacy.ai Congratulates and wishes them well. #innovation #management #digitalmarketing #technology #creativity #futurism #startups

𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗶𝘀 𝗡𝗼𝘁 𝗮 𝗤𝘂𝗶𝗰𝗸 𝗙𝗶𝘅 Scaling with AI isn’t like flipping a switch or downloading the latest AI tool and declaring victory. It’s not about shiny software or one-time implementations. It’s about 𝙗𝙪𝙞𝙡𝙙𝙞𝙣𝙜 𝙨𝙮𝙨𝙩𝙚𝙢𝙨 you can trust. Systems that consistently deliver high-quality results over time. Scaling with 𝘼𝙄 𝙞𝙨 𝙖 𝙟𝙤𝙪𝙧𝙣𝙚𝙮. A journey not just with technology but a 𝙟𝙤𝙪𝙧𝙣𝙚𝙮 𝙛𝙤𝙧 𝙩𝙝𝙚 𝙩𝙚𝙖𝙢𝙨 𝙖𝙣𝙙 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨𝙚𝙨 deploying it. If you’re not building systems, trust, iterative improvements with a clear purpose in mind, you might just scale problems instead of solving them. —- 👋🏽 I help founders, funded startups, and enterprises with Innovation, AI and Product-Market Fit (PMF). If this is you, pls follow me. ISHIR’s Data AI Acceleration is a powerful approach to uncover customer pain, review data sources & quality, identify use cases, design, develop, test and iterate PoCs. This helps enterprises speed up innovation cycles and accelerate results across most common and high-impact use cases. #AI #AIUseCase #enterpriseAI #InnovationAcceleration #CompetiveAdvantage #AIStrategy #DataStrategy #AIInnovation #BusinessTransformation

Scaling with AI isn’t a quick fix, it’s a journey of building reliable systems that deliver consistent results. Trust, iterative improvements, and a clear purpose are essential to avoid scaling problems instead of solutions. Explore Rishi’s post to learn more! #AI #InnovationAcceleration #AIStrategy #DataStrategy #BusinessTransformation

𝗜𝘀 𝗬𝗼𝘂𝗿 𝗦𝗮𝗮𝗦 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗔𝗜-𝗪𝗮𝘀𝗵𝗶𝗻𝗴 𝗼𝗿 𝗧𝗿𝘂𝗹𝘆 𝗟𝗲𝘃𝗲𝗿𝗮𝗴𝗶𝗻𝗴 𝗔𝗜? My friend David Evans, the managing partner at Sentiero Ventures, one of the few seed funds focused on AI-focused software startups talks a lot about this topic. Every tech founder wants to associate their software product with AI, but here’s the tough question: 𝘈𝘳𝘦 𝘺𝘰𝘶 𝘈𝘐-𝘸𝘢𝘴𝘩𝘪𝘯𝘨 𝘰𝘳 𝘢𝘳𝘦 𝘺𝘰𝘶 𝘵𝘳𝘶𝘭𝘺 𝘪𝘯𝘵𝘦𝘨𝘳𝘢𝘵𝘪𝘯𝘨 𝘈𝘐 𝘪𝘯𝘵𝘰 𝘺𝘰𝘶𝘳 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘭𝘪𝘧𝘦𝘤𝘺𝘤𝘭𝘦? Here are key indicators of 𝘈𝘐-𝘸𝘢𝘴𝘩𝘪𝘯𝘨: ➔ AI is a surface-level feature, not solving core user problems. ➔ It’s more about marketing than functionality. ➔ There’s no measurable impact on your product’s efficiency or customer experience. Now, what does true 𝘈𝘐 𝘭𝘦𝘷𝘦𝘳𝘢𝘨𝘦 look like? ➔ AI is embedded in your product’s value chain, solving customer problems and improving customer outcomes. ➔ Your AI continuously learns and evolves based on real-world data. ➔ AI enables you to scale solutions, reduce costs, or enhance user personalization in ways that manual processes can’t. ➔ AI Automation that enhances user experience ➔ AI augments human effectiveness and efficiency. 𝘈𝘴𝘬 𝘺𝘰𝘶𝘳𝘴𝘦𝘭𝘧 these questions: 1. Does AI give your customers a clear advantage? Or is it just a cosmetic add-on. 2. Can you point to specific metrics that improved due to AI? 3. Are you iterating your AI product based on user feedback and data? One needs to consider conduct a deep dive into how AI helps solve your customer pain, impact your software product, product team, and customers. If the value is unclear, it might be time to 𝘳𝘦𝘵𝘩𝘪𝘯𝘬 𝘺𝘰𝘶𝘳 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺. Don’t be afraid to pivot from the buzzword and focus on solving real problems. Let’s get off the AI hype cycle and start delivering results and outcomes. —- 👋🏽 I help founders, funded startups, and enterprises with Innovation, AI and Product-Market Fit (PMF). If this is you, pls follow me. ISHIR’s Data AI Acceleration is a powerful approach to uncover customer pain, review data sources & quality, identify use cases, design, develop, test and iterate PoCs. This helps enterprises speed up innovation cycles and accelerate results across most common and high-impact use cases. #AI #AIUseCase #enterpriseAI #InnovationAcceleration #CompetiveAdvantage #AIStrategy #DataStrategy #ProductStrategy #AIWashing

Thank you Fortune for featuring our predictions for AI funding and adoption following $25B poured into the landscape last year (https://lnkd.in/gEKpBP7p) While we expect funding funneled into core infra companies building foundation models will decline, we believe there will be growing adoption and investment in a few buckets: * AI-native apps. We’re already observing increased enterprise adoption of SaaS AI solutions across verticals such as knowledge management, marketing, sales, legal, and customer service. * Picks and Shovels plays. Companies that help enterprises go from pilot to production in a scalable way, including prompt management, model security and routing, output evaluations, interference and cost optimization, and extract, load, and transform (ETL) processes on unstructured data. * Autonomous agents. Software agents that can simulate human behavior and plan, make decisions, and execute tasks in complex environments without human intervention or supervision.  * Regional players. Companies applying GenAI to local use cases across languages. Vibhor Rastogi Arvind Purushotham, Matt Carbonara ✅, Arti Kuthiala Jeff Gilliland, Dana Wohlfarth-Piper, MSPR

🚀 Exciting AI Trend Alert: AI Agents are Revolutionizing Task Automation! 🤖 As AI continues to evolve, we're seeing a surge in the development of AI agents capable of handling complex, multi-step tasks autonomously. These agents are set to transform how businesses operate and how we interact with technology. Top startups leading the charge: 1. 🏆 Adept AI: Their Action Transformer (ACT-1) model can interact with web browsers and desktop applications to complete tasks. Backed by General Catalyst and Spark Capital, they've raised $415M to date. 2. 💼 Cognition: Their AI software engineer 'Devin' can autonomously tackle coding projects. They've secured $175M in funding led by Founders Fund 3. 🗂️ Anthropic: While known for Claude, they're also working on advanced AI agents. With $1.5B raised from Dustin Moskovitz and Google, they're pushing the boundaries of AI capabilities. 4. 🤝 Leena AI: Focusing on enterprise applications, they're creating AI agents for HR, IT, and Finance tasks. Backed by Bessemer Venture Partners with $40M raised. Key VCs to watch in this space: - Sequoia Capital - Andreessen Horowitz (a16z) - Khosla Ventures These investors are betting big on the potential of AI agents to transform industries across the board. The implications? We're looking at a future where AI can handle increasingly complex workflows, freeing up human capital for higher-order tasks and potentially reshaping entire business models. What are your thoughts on AI agents? How do you see them impacting your industry? #AITrends #StartupInnovation #VentureCapital #FutureOfWork #ArtificialIntelligence

✨ Exciting news! ✨  Following a successful career at Google (concluding shortly), I'm taking the leap to pursue my entrepreneurial dream. Introducing RSquareSoft Technologies, a cutting-edge IT startup specializing in AI Powered Product Development and  Services. Our team is passionate about harnessing the transformative power of Enterprise Artificial Intelligence to empower businesses. AI unlocks efficiency, innovation, and growth by streamlining operations, informing decisions with advanced analytics, enhancing customer experiences, and fostering innovation. With a focus on ethical practices, collaboration, and agility, we believe our venture has the potential to seamlessly align AI with business goals, creating robust data strategies. Stay tuned for more exciting updates in the coming days! #AI #startup #RSquareSoft Ramesh Gharmalkar Rajneesh Shrimali

🚀 Introducing ModelAct: Making AI Accessible to All Businesses! 🚀 🌟 We’re excited to announce the launch of ModelAct! 🌟 ModelAct is here to empower businesses of all sizes to harness the power of AI without needing a full team of data scientists. With our automated machine learning (AutoML) platform, we’re making it possible for companies to develop, deploy, and manage AI models quickly and affordably. Imagine building a custom model in just a few clicks—no coding required! ✨ What ModelAct Offers ✨ End-to-End Automation: From data prep to model deployment, we streamline every step. No-Code/Low-Code Interface: Get powerful AI insights with zero technical hassle. Industry Flexibility: Whether it’s finance, healthcare, retail, or manufacturing, ModelAct adapts to your unique needs. 🎯 Why ModelAct? Building AI solutions has traditionally been costly and complex. ModelAct is changing that by making advanced AI technology accessible to everyone—from startups to growing enterprises. 💡 Ready to see how ModelAct can transform your business? Check out our website to learn more, or reach out to us for a demo! #ModelAct #AutoML #MachineLearning #AIForBusiness #NoCode #Startups #TechLaunch #DataScience

AI Moves Fast: Just last week I posted about Adept, and now Amazon snaps them up! Amazon just made a power play in the AI world, hiring Adept's co-founders and key team members, including CEO David Luan. They've also licensed some of Adept's cutting-edge tech. This move mirrors Microsoft's recent strategy with Inflection AI - securing top talent and tech without a full acquisition. Smart way to dodge regulatory hurdles! Adept isn't disappearing though. They'll keep operating independently under new leadership. It's clear: tech giants are racing to beef up their AI capabilities. Who do you think will make the next big move? #AI #TechTalent #AmazonAI #VentureCapital #startups https://lnkd.in/eDsfpymZ

I'm excited to share my thoughts on Generative AI (GenAI) and how it can be a breakthrough for startups like yours. This cutting-edge technology is transforming how we operate and scale our businesses, and it's an opportunity you don't want to miss out on. 𝐊𝐞𝐲 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐆𝐞𝐧𝐀𝐈 𝐟𝐨𝐫 𝐒𝐭𝐚𝐫𝐭𝐮𝐩𝐬: 🚀 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞𝐝 𝐆𝐫𝐨𝐰𝐭𝐡: Scale operations quickly without extensive hiring. The GenAI market is projected to reach $100 billion by 2027, growing 34.3% annually. 💪 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲: Automate repetitive tasks to boost productivity by up to 70% by 2028, allowing your team to focus on strategic work. 🧠 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐃𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐌𝐚𝐤𝐢𝐧𝐠: Leverage AI-driven insights for more intelligent, data-backed decisions. 🏆 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞: Early GenAI adoption sets you apart; 30% of top performers use it, compared to 13% of underperformers. 𝐓𝐢𝐩𝐬 𝐭𝐨 𝐇𝐚𝐫𝐧𝐞𝐬𝐬 𝐆𝐞𝐧𝐀𝐈: 🎯 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲 𝐇𝐢𝐠𝐡-𝐈𝐦𝐩𝐚𝐜𝐭 𝐀𝐫𝐞𝐚𝐬: Implement GenAI in time-consuming customer service and marketing processes. 🐢 𝐒𝐭𝐚𝐫𝐭 𝐒𝐦𝐚𝐥𝐥, 𝐒𝐜𝐚𝐥𝐞 𝐅𝐚𝐬𝐭: Initiate pilot projects to showcase value before expanding. 📚 𝐔𝐩𝐬𝐤𝐢𝐥𝐥 𝐘𝐨𝐮𝐫 𝐓𝐞𝐚𝐦: Train your team to work effectively with AI systems. 📊 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: Ensure clean, structured data for optimal AI performance. 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: Address transparency, data privacy, bias, and workforce impact proactively for responsible AI implementation. By effectively leveraging GenAI, you can drive innovation, enhance operational efficiency, and position your startup for long-term success. GenAI could reduce software engineering workloads by 𝟏𝟎% (𝐬𝐚𝐯𝐢𝐧𝐠 𝐮𝐩 𝐭𝐨 $𝟕,𝟓𝟎𝟎 𝐩𝐞𝐫 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐚𝐧𝐧𝐮𝐚𝐥𝐥𝐲 𝐛𝐲 𝟐𝟎𝟐𝟓) and 𝐚𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐭𝐢𝐦𝐞-𝐭𝐨-𝐦𝐚𝐫𝐤𝐞𝐭 𝐛𝐲 𝟑𝟎-𝟒𝟎%, providing a clear path to scaling your startup. How will you use GenAI to drive your success? I'd love to hear your thoughts! 💬 #innovation #technology #ArtificialIntelligence 𝘚𝘰𝘶𝘳𝘤𝘦: 𝘎𝘢𝘳𝘵𝘯𝘦𝘳, 𝘱𝘶𝘣𝘭𝘪𝘴𝘩𝘦𝘥 𝘣𝘺 𝘢𝘯𝘢𝘭𝘺𝘴𝘵 𝘔𝘢𝘳𝘬 𝘗𝘦𝘵𝘵𝘺 𝘰𝘯 31 𝘖𝘤𝘵𝘰𝘣𝘦𝘳 2023. — Follow me and click the (🔔) to get notified about the latest tips on startup growth, business scaling, and cloud solutions!