Real-Time & Streaming Analytics
Sub-second freshness where a stale number is a wrong decision
- Kafka
- Flink
- Pulsar
- ClickHouse
- Exactly-once
- Event time
Industry
Network and subscriber data at volume, streaming analytics, and content operations.

Telecom and media generate event volumes that break ordinary architectures and demand answers in seconds. We build the streaming and data platform to carry them, the analytics that turn network and viewing telemetry into an operational decision, and the automation and self-service that keeps cost per subscriber from rising with scale.
Sub-second freshness where a stale number is a wrong decision
Lakehouse storage with schema evolution that does not break readers
Error budgets, traces, and failure testing on the paths that matter
Clusters that scale, isolate tenants, and survive a node disappearing
Making systems that were never designed to meet work together properly
Forecasts, anomalies, and optimisers that end in a decision
How we help
The systems this industry draws on, layer by layer.
Streaming architectures for the decisions that cannot wait for tonight's batch.
What we buildThe measurement and failure discipline that keeps a platform inside its availability target.
What we buildContainer platforms built to be operated rather than demonstrated.
What we buildAPI platforms and integration layers between systems that were never designed to talk.
What we buildSystems that turn history into a decision rather than a dashboard.
What we buildTell us where the work is stuck, whether that is a model that never reached production, an application nobody can change, a data platform nobody trusts, or a plant the business cannot see. An engineer replies with a first read, not a sales deck.