Business Latency First
We design for the response time your use case actually needs instead of overengineering every stream for the lowest possible latency.
LIVE
Fit for purpose
Stream, process and analyze high velocity data as events happen, giving teams immediate visibility into operations, customers, risk and performance when timing matters most.
Traditional reporting explains the past. We build real time analytics systems that continuously process events, update operational views and trigger alerts so teams can detect change, respond to anomalies and act while the opportunity or risk is still active.
Everything needed to ingest, process, monitor and act on event data with low latency and operational reliability.
Capture and process events from applications, devices, transactions, logs and operational systems as they are generated.
Deliver continuously updated views of operational KPIs, customer activity, system health and business events.
Define thresholds, rules and anomaly logic that notify teams when unusual or important conditions appear.
Transform, join and enrich event streams with reference or historical data to create meaningful real time context.
Support use cases such as fraud monitoring, logistics visibility, IoT telemetry, service operations and digital product analytics.
Design scalable event driven platforms with the partitioning, retention, resilience and observability needed for production workloads.
We identify decisions that benefit from lower latency, design the right event model and build a resilient streaming architecture that connects live signals with business context.
Start Your Project →We define the events, decisions, response times and operational outcomes that justify real time processing.
We design producers, topics, schemas, retention, processing logic, storage and downstream consumers.
We connect applications, devices, databases or APIs and establish reliable event capture at the source.
We filter, aggregate, join and enrich events so raw streams become useful business signals.
We deliver live views and notifications, with integrations into the tools where teams already work.
We test throughput, back pressure, recovery and cost, then tune the platform as event volume grows.
Prismberry combines streaming engineering, cloud architecture and analytics design so live data is not just fast, but reliable, understandable and connected to the operational decisions it is meant to improve.
We design for the response time your use case actually needs instead of overengineering every stream for the lowest possible latency.
Schemas, partitions, state, retries and failure recovery are handled as production engineering concerns.
We connect live events to dashboards, alerts, APIs and workflows so insight reaches the team that can act.
Architectures are designed to handle changing throughput and new event sources without rebuilding the entire platform.
Streaming, processing, storage, observability and visualization technologies we use to build dependable real time data systems.
Explore how Prismberry helps businesses modernize platforms, automate operations, build AI products, and create scalable digital ecosystems.
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Trusted by 180+ clients across fintech, healthcare, SaaS, and enterprise tech worldwide.
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Scale faster, automate smarter, and integrate AI seamlessly across your business systems.
See why enterprises trust Prismberry to build AI-first systems that actually work.