Real-Time Application Development

When users have to refresh a page to see new data, they act on stale information. We build real-time web apps with WebSockets, Firebase or Socket.io that push live updates to dashboards, chats and collaborative tools with low latency.

Live updates with no refresh, built for instant feedback

Speed defines user experience, so real-time responsiveness is now expected. At Quantzi, we build real-time web applications that give instant feedback, live interaction and dynamic data updates, all without reloading the page. Using WebSockets, Firebase and Socket.io, we keep your users connected to live data streams. Whether you run a collaborative tool, a live trading platform or an interactive dashboard, our apps keep your users informed in real time.

Every real-time platform we build is shaped around your users and your operations. From live chat systems and real-time analytics dashboards to collaborative whiteboards and internal monitoring tools, we deliver data that is fast, relevant and ready to act on. We build clean data pipelines, optimise transmission protocols and keep latency low even under heavy loads. With clear interfaces, your users see changes instantly and understand them faster.

We can add AI to your app’s live environment. This includes predictive notifications that anticipate user needs, live anomaly detection that flags unusual activity as it happens, and suggestions that adapt to user behaviour or data trends. These features turn a real-time app from one that only shows data into one that helps users act on it in the moment.

We supercharge these apps with AI capabilities such as: 

Built with WebSockets, Firebase, or Socket.io

Built with WebSockets, Firebase, or Socket.io

Live dashboards, chats, and collaborative tools

Live dashboards, chats, and collaborative tools

Predictive notifications and AI insights in real-time

Predictive notifications and AI insights in real-time

Optimized for low latency and high data throughput

Optimized for low latency and high data throughput

Real-time anomaly detection and alert systems

Real-time anomaly detection and alert systems

Scalable architecture for continuous user engagement

Scalable architecture for continuous user engagement

Built by us

Avita Residences

PropTech & PG Management Systems · React.js / Node.js / MongoDB / AWS / React Native · Built in 5 months

For Avita Residences we built a Node.js and MongoDB backend on AWS that syncs bed availability, payments and maintenance requests in real time across web and mobile.

Read the case study

Questions we get asked

Which technologies do you use for real-time apps?

WebSockets, Firebase or Socket.io.

What kinds of real-time apps do you build?

Live chat systems, real-time analytics dashboards, collaborative whiteboards and internal monitoring tools.

Will it stay fast under heavy load?

We build clean data pipelines and optimise transmission protocols to keep latency low under heavy loads.

Can the app flag unusual activity?

Yes. We can add live anomaly detection and alerts that flag unusual activity as it happens.