Real-Time Data Processing & Streaming Analytics
Process events as they happen and react within seconds, not hours.
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Why it matters
Some decisions cannot wait for an overnight report: fraud, faults and anomalies must be detected within seconds. Batch-based analytics is not enough.
We build real-time data streams and streaming analytics that process events as they happen. This keeps anomalies, alerts and metrics current at the moment they matter.
When seconds matter, batch is too slow. Real-time analytics gives a continuous picture that lets you react before a problem grows — but only when speed genuinely creates value.
How we approach this
We define the target latency, connect event sources, and build a streaming pipeline with real-time alerting. We design the architecture to be scalable and resilient.
How we work
A clear process from idea to production.
Discovery
We understand your goals, current state and data.
Design
We define the solution architecture and scope.
Prototype
We build a fast version you can see and evaluate.
Build
We take the solution to production iteratively and transparently.
Validation
We test, measure and confirm reliability.
Optimise
We tune, document and scale.
Use cases
Fraud detection
Detect suspicious events within seconds.
Real-time dashboards
Metrics that update continuously.
Alerting
Automatic notifications of anomalies.
IoT data
Process sensor streams at scale.
On-the-fly recommendation
Personalise content during the session.
Operational monitoring
Track system health in real time.
What's included
- Target-latency definition
- Event source connection
- Streaming pipeline build
- Real-time alerting
- Scalable, resilient architecture
What you achieve
Reaction within seconds
A continuous picture
Cost-efficient speed
Technologies & capabilities
Frequently asked questions
Typically seconds to sub-second. We define the target latency for your use case; true real-time is not worth paying for if minutes suffice.
Yes. We connect event sources to a streaming platform and join historical data where needed.
It is heavier than batch, so we size the solution carefully and only where speed creates value.
We design the architecture to absorb load variation with buffering and scalable processing.
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Book a free discovery call — let us discuss how data and AI can help you specifically.
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