Singapore · Data Infrastructure & Analytics
Infrastructure
that dominates.
We build data pipelines, analytics systems, and infrastructure that scales with your most demanding workloads — zero bottlenecks, zero compromise.
What we build
End-to-end data
infrastructure.
From raw ingestion to insight delivery — we design and operate systems that handle the pressure so your teams don't have to.
01
Data Infrastructure
Reliable, scalable data platforms — from storage architecture to distributed compute, built for production from day one.
02
Analytics Engineering
Transform raw data into decision-ready models. We build semantic layers, dashboards, and KPI systems that actually tell you something.
03
Stream Processing
Real-time pipelines that process millions of events per second. Sub-millisecond latency where it counts.
04
Observability
Full visibility into your data flows. Metrics, traces, and anomaly detection so nothing breaks silently.
10x
Faster query response times
<1ms
Stream processing latency
99.9%
Pipeline uptime SLA
SG
Headquartered in Singapore
Technology stack
Built on infrastructure
that doesn't flinch.
Apache Kafka
Streaming
Apache Flink
Processing
ClickHouse
OLAP
dbt
Transform
Apache Iceberg
Lakehouse
Kubernetes
Orchestration
Prometheus + Grafana
Observability
Rust / Go
Core Systems
$ ad pipeline status
→ Ingestion: RUNNING
→ Transformation: RUNNING
→ Serving layer: RUNNING
→ Events/sec: 4,812,039
→ P99 latency: 0.81ms
→ Uptime: 99.97%
$
Why we chose these tools
Every component earns its place by surviving production pressure. We don't ship resume-driven architecture — we ship systems that hold.
How we work
DELFA
Design for failure
Every system assumes components will fail. Retries, dead-letter queues, circuit breakers — baked in from the start.
Measure everything
If it isn't instrumented, it doesn't exist. End-to-end observability is non-negotiable in every engagement.
Ship and iterate
We run lean, deliver fast, and scale incrementally.
Ready to build?
Let's build something
that dominates.
Tell us about your data challenges. We'll tell you exactly how we'd solve them.