Collaboration & Productivity Tools
Multi-user editing, presence, and comments β built on WebSockets or CRDTs β so teams see each other's work instantly without conflicts.
Who we build for
Real-time features look simple until you hit reconnects, ordering, and scale. We build live, bidirectional systems β collaboration tools, streaming, dashboards β engineered for the messy network conditions of real users.
Multi-user editing, presence, and comments β built on WebSockets or CRDTs β so teams see each other's work instantly without conflicts.
Real-time bidding, inventory, and chat between buyers and sellers β with consistent state across mobile and web sessions.
Video calling and streaming via WebRTC, audience chat, reactions, and live analytics β engineered for thousands of concurrent users.
Trading desks, IoT telemetry, healthcare monitoring β Kafka-driven event pipelines with sub-second updates to the UI.
Why Chayaniq for real-time
Real-time features look simple until you hit reconnects, ordering, and scale. Here is what we bring to make live, bidirectional systems hold up under real users and real network conditions.
Live updates, presence, and collaboration β built on stable WebSocket foundations with reconnection, fallbacks, and ordering handled explicitly.
WebRTC and Agora-based video infrastructure for one-to-one calls, group meetings, and broadcast streams β with bandwidth-aware quality.
Multi-channel notifications and in-app messaging β engineered for delivery guarantees, not just happy-path Hello Worlds.
Kafka-based event pipelines for marketplaces, analytics, and integrations β with schema evolution, replay, and dead-letter handling.
Streaming dashboards for trading, IoT, and ops β with sub-second updates from Kafka or WebSocket sources to the UI.
Cross-platform push notification infrastructure β APNs, FCM, and web push β designed for high deliverability and segmented sends.
Industries we serve
Real-time delivers value in collaboration, marketplaces, healthcare monitoring, trading dashboards, logistics, and more. We have engineered live systems across the verticals below.
How we work
Real-time systems are easy to demo and hard to scale. Our process focuses on the things that break in production β reconnects, ordering, scale β from sprint one.
We map the real-time use case end-to-end: clients, network conditions, ordering needs, and the failure modes you cannot tolerate.
WebSocket vs. WebRTC vs. Kafka β chosen for fit, with explicit answers for backpressure, delivery guarantees, and reconnection.
Live features built with auth, scope, and tenant isolation on every connection β and instrumentation from day one.
Realistic traffic profiles and long-soak tests β so we know how the system behaves at 10Γ scale, not just on a developer laptop.
Phased rollouts with feature flags and percentage-based ramps β so we observe behaviour at each scale stop before continuing.
Connection-level metrics, dropped-message alerts, and capacity dashboards β so the live system stays observable and recoverable.
Real-time looks simple until you hit reconnects, ordering, and scale. We build live, bidirectional systems engineered for the messy network conditions of real users.
Live updates, presence, and collaboration β built on stable WebSocket foundations with reconnection, fallbacks, and ordering handled explicitly.
Our stack
Live, bidirectional building blocks tuned for the messy network conditions of real users β paired with backends and observability that hold up at scale.
Perspectives
Short reads from how we shipβarchitecture, product, and ops. Same themes as this service, different angles.
March 2026
When peer-to-peer is the right call, when a server-mediated socket wins, and how to plan for thousands of concurrent users.
Continue readingFebruary 2026
What we learned shipping Kafka in marketplaces, analytics, and IoT β schema evolution, replay strategies, and dead-letter handling.
Continue readingContact
Whether you have a detailed brief ready or just a rough idea β we're happy to have a conversation. Tell us what you're working on and we'll take it from there.
We respond to all inquiries within 1 business day.
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