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AICU
Software Development
Heilbronn, Baden-Württemberg 3,520 followers
Build scalable data and AI pipelines using a chat.
About us
aicuflow is a tool that lets you build custom data pipelines and AI models all by chat. With it, you get a swiss army knife of tools for multimodal data and explainable AI, plus our (still unnamed) chat developer friend as your partner in crime to turn vision into reality. We’re AICU and a European startup team, building the data playground we always wished existed. Now we’re making it real.
- Website
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https://www.aicuflow.com/
External link for AICU
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Heilbronn, Baden-Württemberg
- Type
- Partnership
- Founded
- 2024
- Specialties
- Software Automation, XAI, Data Insights, R&D, Innovation, and AI agents
Locations
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Primary
Get directions
c/o Campus Founders, Bildungscampus 1
Heilbronn, Baden-Württemberg 74076, DE
Employees at AICU
Updates
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Build AI from your phone. While waiting for the train. Or let it run while you shower. Working with data and AI is still too complicated. Too many tools. Too much setup. Everything spread across systems. And timelines that don’t match how fast AI is evolving. So we built something different: → connect your data with your team → let AI understand it instantly → turn it into workflows, dashboards, and automations All in one place. No code. Just a chat. What used to take 6+ months in PoCs now runs in production systems within days ... sometimes hours. That speed enables entirely new ways of working with data and AI. 👉 https://lnkd.in/dcfP_XuS If you’ve struggled with dashboards, data pipelines, or disconnected AI tools then this is built for you. 💙
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No idea what this plot is showing? We’ve all been there 😄 Just click once. AI explains it, highlights insights, and suggests next steps. Or chat with your full dashboard to dig deeper. #dashboard #plot #ai #interpretation
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We hit pause on remote for a day. And it was worth it. The aicuflow team finally got together in person again after a while of remote work 🧑💻 Same projects. Different energy. Working side by side, quick chats, spontaneous ideas, it just hits different face to face. Simple reminder why these days matter. More of this soon 👊 #aicuflow #StartupLife #Team #RemoteWork #BuildInPublic
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Enterprise sales is one of the hardest and most important growth levers for B2B startups. Last week we joined “Kickstarting Growth: GTM Strategies for Early-Stage Founders” in Munich, hosted by 42CAP and N47. Key takeaways: → ICP clarity is non-negotiable → Strong pipeline solves most sales problems → Enterprise sales requires patience, not shortcuts (or hiding behidn tools) A big thank you to the speakers: - Moritz Zimmermann (42CAP, founder of hybris) - Wikings Machado (N47) - Fred Ellis (N47) - Eddy Frey (former CRO, Spryker) We enjoyed the mix of stages. From early-stage startups to Series A ... all tackling the same challenge from different angles. Usually the groups are more homgenous but here we were really surprised. Shoutout to aiio 💙 Some were already building for 3, 5, even 7 years. That perspective was gold. Looking forward to applying these insights 🚀
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Building a recommendation system usually means juggling multiple steps Data preparation. Model training. Inference pipelines. Deployment. We wanted to make that process much simpler. So we introduced Recommendation Model Templates on our platform. With them you can: • Import your own dataset • Train a recommendation model • Run inference • Deploy it as a live system To make it even easier, we’ve also published step-by-step YouTube tutorials showing the full process from training to deployment. The clip below shows part of that workflow. Curious how quickly you can go from dataset → live recommendation system? Try it yourself. Link in the comments. #AI #MachineLearning#RecommendationSystems #MLOps #AIInfrastructure
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🛒 Why do customers often buy chips and salsa together? In our latest tutorial, we show how to uncover patterns like this using Apriori on aicuflow These insights can power: • Product recommendations • Bundle suggestions • Smarter merchandising strategies In the tutorial we walk through the full process on our platform: 📊 Import transaction data 🤖 Train the association model 🔍 Discover item relationships 🌐 Deploy the model for real use From data to a live model All within one simple workflow The clip below shows part of the process. Curious how Market Basket Analysis works in practice? Check out the full tutorial and try it yourself. Link in the comments. #aicuflow #apriori #MarketBasketAnalysis #MLOps
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We joined Community Day at GRAVITY last week 🚀 Good people. Good energy. Real conversations. We met founders at all stages, shared ideas, and had some super honest chats about building in AI right now. The sessions were great, but the random hallway conversations were just as valuable. Also, Kaffee & Kuchen + startup talk = perfect combo ☕ Big thanks to Campus Founders for bringing everyone together. we’re happy to be part of this growing community and looking forward to the next one! #CommunityDay #aicuties #startup #CampusFounders
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Clustering models are great at one thing: Finding structure in data without labels. Customer segments. Behavioral patterns. Usage groups. Anomalies. The algorithm itself is only one part of the process. Preparing the data and structuring a reusable training workflow often takes more time than expected. The aicuflow clustering template demonstrates how to move from raw data to a ready to deploy setup within minutes. What the template provides: • Structured training pipeline • Built-in preprocessing • Real-world example dataset • Easy integration of custom data • Production-ready project structure No unnecessary complexity. No rebuilding standard components. A clean, reusable clustering workflow designed for practical use cases. Check out the link in the comments if your're interested in trying it out for yourself👇️ #aicuflow #machinelearning #clustering #mlops
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Confluence is full of gold. And we help you mine it. Your pages, updates, and content now power real-time workflows, AI agents, and RAG systems - directly from your workspace. Here’s what you can do: • Chat with your knowledge base • Summarise long docs with AI and surface key insights • Trigger workflows when pages change or get published • Sync Confluence with Jira, Slack, Notion, CRM, and more Built for product teams, engineering orgs, knowledge managers, and operators who rely on clarity, accuracy, and living documentation. -- aicuflow is a vibe data and ai engineering platform, where anyone can - structure, enrich and chat with data, - build and deploy AI workflows, - create plot dashboards using a chat interface.
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