About the Event

Join us for a fast-paced, one-day in-person hackathon where you'll build real-world GenAI solutions for the automotive and manufacturing industries.

This hackathon is a joint initiative by Amazon Web Services, Redis, and Storm Reply — bringing together the power of AWS's AI/ML platform, Redis's real-time data capabilities, and Storm Reply's deep automotive cloud expertise. Together, we're creating a unique environment where automotive and manufacturing professionals can explore how Generative AI and Agentic AI can transform their industry — from the factory floor to the finished vehicle.

Why This Collaboration Matters

• AWS provides the AI foundation: Amazon Bedrock for foundation model access, AgentCore for production-ready AI agents, and the cloud infrastructure to scale from prototype to production
• Redis delivers the real-time data layer: sub-millisecond vector search, streaming data ingestion, and the speed that automotive and manufacturing workloads demand
• Storm Reply brings industry expertise: as an AWS Premier Consulting Partner specializing in automotive cloud solutions, they bridge the gap between cutting-edge tech and real-world industry requirements

What You'll Build

Teams of 3–5 engineers, architects, and data scientists will prototype AI-powered solutions that solve real problems across the automotive and manufacturing value chain:

Factory Floor & Manufacturing

• Real-time anomaly detection on production lines
• LLM-powered operator assistants for troubleshooting
• Quality & defect classification pipelines
• Predictive maintenance and bottleneck analysis

Logistics & Operations

• Fleet routing optimization
• Supply chain anomaly prediction
• Natural-language queries over live operational data

Inside the Vehicle

• AI-powered in-car assistants
• Context-aware infotainment personalisation
• Driver profile-based recommendations

Benefits of Participation

🚀 Hands-on with cutting-edge AI — Get direct experience with Amazon Bedrock, AgentCore, Strands Agents SDK, and Redis real-time AI capabilities before they become mainstream in your industry

🏗️ Prototype a real use case in one day — Walk away with a working proof-of-concept that could become a real project at your company

🧠 Learn from industry experts — Direct access to AWS, Redis, and Storm Reply technical specialists throughout the event. Ask questions, get architecture advice, and explore new approaches

🤝 Network with peers — Meet fellow developers, architects, and data scientists from leading automotive and manufacturing companies across the DACH region

💡 No setup overhead — Pre-provisioned AWS accounts with all services ready to go. Just bring your laptop and ideas

🏆 Win prizes — Top team receives 10,000 Redis Cloud credits, AirPods, and swag for all participants

📄 Preparation Guide included — Registered participants receive a detailed PDF with architecture patterns, code examples, dataset suggestions, and setup instructions to arrive ready to build

Technology Stack

Everything is pre-provisioned — no setup required on your side:

Expert Speakers

• Simba Khadder (Redis) — Redis's Agentic AI technical lead; Introduction to Redis for real-time AI cases
• Aychin Gasimov (AWS) — Latest advancements in Agentic services on AWS

Storm Reply automotive cloud experts will mentor teams throughout the day.

Agenda

Prizes 🏆

• 🥇 10,000 Redis Cloud credits for the winning team
• 🎧 AirPods for each member of the winning team
• 🎁 Swag for all participants

Judging Criteria

• Innovation & originality — Does the idea feel fresh?
• Real-time data usage — Is Redis powering live data flows?
• Clear business value — Who benefits, and why does it matter?
• AI + cloud architecture — Thoughtful use of Bedrock, AgentCore, and Redis together
• Working demo — A compelling prototype, not just slides

• Innovation & originality
  Does the idea feel fresh and creative? Does it challenge assumptions or approach the problem in an unexpected way?
• Use of real-time data with Redis
  Is Redis meaningfully powering live data flows? Are capabilities like vector search, streams, or pub/sub used to deliver sub-second responsiveness?
• Clear business value
  Who benefits from this solution, and why does it matter? Is there a real pain point being solved for automotive or manufacturing users?
• Technical execution & architecture
  Is the solution well-architected? Does it demonstrate thoughtful use of Bedrock models, AgentCore, Strands SDK, and Redis working together?
• Quality of demo & presentation
  Is the live demo compelling and functional? Can the team clearly communicate what they built and why it matters — not just slides, but a working prototype?