Events
Collect events from support, analytics, monitoring, backend services, and custom apps.
reduOS
An open-source AI operating system for startups.
reduOS connects your support, analytics, monitoring, automation, backend, and AI tools into one continuous AI loop — so every event, decision, action, and outcome becomes operational memory for your startup.
The AI loop
01Events
02AI Insight
03Action
04Feedback
05Memory
The AI loop
Create an AI loop across your startup
Most startup tools work in isolation. reduOS connects events, AI insights, actions, feedback, and memory into one loop, so your systems can understand what happened, act faster, and improve over time.
AI Insight
Use local AI models to summarize what happened, classify priority, and suggest next steps.
Action
Trigger automations through tools like Activepieces or your own webhook-compatible workflows.
Feedback
Record what happened after the action — resolved, ignored, escalated, failed, or improved.
Memory
Store operational memory so similar future events can use previous context and outcomes.
Events→AI Insight→Action→Feedback→Memory→Better future insight
The stack
Deploy the startup stack around your product
reduOS starts with open-source tools that startups already need, then connects them into one AI-native operating layer.
Support
Turn customer issues into structured events, AI summaries, actions, and feedback loops.
Analytics
Understand product activity and turn important usage signals into AI-readable events.
Monitoring
Send uptime incidents into the AI loop so reliability events become operational memory.
Automation
Trigger workflows when reduOS detects events that need action.
Local AI
Run AI analysis locally or privately, without depending on closed startup tooling.
Memory
Store vector memory for events, insights, actions, and outcomes.
Backend
Store structured event, insight, action, and feedback records.
Newsletter / Growth
Connect audience and growth events into your startup operating loop.
Error Tracking
Turn application errors into AI-analyzed operational events.
Deployment
Run it your way
Start small on one VM or split services across multiple redu.cloud instances as your startup grows.
Single VM
Run the collector, Supabase, Qdrant, Ollama, and automation services together for demos, pilots, and small teams.
Modular VMs
Run the collector, AI, memory, database, and automation services on separate instances for cleaner scaling and isolation.
Individual templates
Use each open-source tool independently with cloud-init templates, then connect it to reduOS when you are ready.
Why redu.cloud
Built for flexible startup infrastructure
reduOS shows what redu.cloud is designed for: not just launching servers, but building the infrastructure around a startup.
Open-source first
No hyperscaler lock-in
Flexible compute, networking, and storage
Built for AI-native products and internal tools
Deploy full startup systems, not just isolated VMs
Start simple, then modularize as you grow
Operating loop
Not another dashboard. An operating loop.
reduOS is not just a place to view data. It is a loop that connects what happens in your startup to what your systems do next.
→Your tools generate events.
→AI understands what happened.
→Automations take action.
→Your team records the outcome.
→reduOS remembers the context.
↑The next decision gets smarter.
Build on redu.cloud
Build your startup operating system on redu.cloud
Deploy open-source tools, connect them through reduOS, and create an AI loop across your startup from day one.