AI at the edge, Intelligence at the core
Build AI-native, real-time apps with PubNub using sub-100ms data, edge logic, and LLM-ready tools to go from idea to deployment faster than ever.
Why
“AI + Real Time”
Matters
LLMs & Code Generation
If your platform isn’t “LLM fluent,” you’re missing out on faster dev cycles
Instant Decisions
Spot anomalies or engagement drops and act in seconds, not hours
Live Data
AI depends on fresh content- batch updates just won’t cut it
Choose a Platform You Can Vibe Code With
Vibe Coding
Create a prompt that describes the outcome, e.g.:
"I want to a real-time feed with alerts, using PubNub for mobile app"
then let your AI tool generate the code.
LLM Fluency
Because PubNub’s docs have always been publicly available (and well-indexed), virtually every major LLM (ChatGPT, Claude, etc.) “speaks PubNub.”
- No weird wrappers
- No fuzzy results
- Just real, production-ready code
Faster Builds
Go from idea to live prototype in minutes
- Ramp up new devs quickly
- Prototype features in minutes
- Spend more time on core logic, not wrestling with unfamiliar APIs
If your prompt can describe it...
...you can build it with PubNub
Turn Real-Time Data Into Smarter, AI-Driven Experiences
Give your AI the live context it needs to personalize experiences, ensure compliance, and drive insights as events unfold.
Real-Time Context for AI
Feed your models fresh data with sub-100ms latency with every click, scroll, message, or sensor event being captured as it happens.
Edge Logic (PubNub Functions)
Intercept data mid-flow, filter or enrich it, or call out to an external model before passing it on.
Integrate with Any AI
Choose from more than 1.5 million Hugging Face models, spin one up quickly, and connect through a PubNub Function.
Keep Data Flowing
Deliver continuous updates to dashboards, microservices, or user interfaces without custom polling or extra queues.
Real-Time Decisions Powered by AI—and Your Data
Don’t just observe your data, automate responses instantly
Illuminate for Live Insights
Continuously monitor streaming data to detect spikes, drop-offs, or anomalies the second they occur.
Threshold-Based Automation
Set rules like “alert if user engagement drops by 15% in 60 seconds” or “when viewers lapse their subscription trigger a re-engagement campaign.”
Edge Logic Integration
Combine Illuminate alerts with PubNub Functions to instantly respond, whether that means sending notifications, altering user flows, or scaling resources.
Adaptive Feedback Loops
Feed results back into your AI or analytics, so each interaction makes the system smarter and more responsive.
Contact Us
Ready to build real-time experiences that scale? Contact sales to discuss your use case or sign up for a free account to start building today.