Real-Time Analytics

Make faster, smarter decisions with live data insights delivered instantly across your systems, operations, and customer touchpoints.

Develop Customer Experiences

Zsoftica’s Real-Time Analytics solutions empower organizations to respond to events as they happen — not hours or days later. We build high-performance data pipelines that ingest, process, and visualize live streams from internal systems, IoT devices, customer interactions, and external APIs.

Our platforms enable teams to monitor KPIs in real time, detect anomalies, trigger alerts, and automate operational responses. From financial transactions and logistics to patient monitoring and digital engagement, we help turn continuous data flow into immediate business value.

Built with technologies like Apache Kafka, Spark Streaming, AWS Kinesis, and Flink, our solutions are designed for speed, scale, and precision — delivering insights that can’t wait.

Certified Team

Team certified on various UI & UX platforms

Expertise

Over 1000+ deliverables in last 20 years

Technology

Hands-on experience of over 20 UI & UX tools

Thought Leadership

Authored books on UI& UX best practices

Our Offerings

Real-Time Data Ingestion & Stream Processing

Capture and process high-velocity data from sensors, applications, APIs, and logs using distributed frameworks. We build streaming architectures that support filtering, aggregation, enrichment, and real-time transformation.

Live Dashboards & Visual Alerting

Create dynamic dashboards that reflect your operational state in real time. Visualize metrics, set thresholds, and trigger alerts for performance deviations, user behaviors, or system anomalies — all within seconds.

Event-Driven Automation & Decision Logic

Automatically act on live events with custom logic engines and workflow triggers. Whether rerouting logistics, flagging fraudulent behavior, or adjusting pricing, our solutions enable intelligent response with minimal human intervention.

Latency-Optimized Architecture & Scalability

Design systems that support sub-second latency and scale to millions of events per second. We use cloud-native patterns, message brokers, and in-memory data stores to maintain speed without sacrificing reliability or security.

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