From Raw Data to Trusted Decisions—At Enterprise Scale
We build governed data platforms that unify siloed sources, automate pipeline quality, and put decision-ready analytics in the hands of every stakeholder—not just the data team.
50%
Less analytics prep time
<24h
Reporting latency target
99.9%
Pipeline reliability SLA
4×
Faster insight cycles
Rayns · Data capabilities
End-to-End Data Capabilities
From ingestion to insight—every layer engineered for reliability, governance, and scale. We cover the full analytics stack so your teams stop stitching spreadsheets and start making decisions.
Platform
Modern Data Platform & Lakehouse
Unified ingestion, medallion architecture, and semantic layers—from pilot lakehouse to governed enterprise platform.
Databricks · Snowflake · Delta Lake · dbt
Medallion pipeline
Live
Pipeline
Data Pipeline Engineering
Batch and streaming ETL/ELT, CDC pipelines, and orchestration with full lineage and observability.
Airflow · Kafka · Spark · Fivetran
Layer
BI & Self-Serve Analytics
Executive scorecards and governed self-serve layers that analysts and business teams adopt.
Power BI · Looker · Tableau
Layer
Data Governance & Quality
Catalogues, lineage, PII masking, and quality SLAs that satisfy audit and compliance teams.
Collibra · Great Expectations
Applied AI
AI & Predictive Analytics
Feature stores, anomaly detection, and MLOps/LLMOps patterns that ship models into production workflows.
MLflow · SageMaker · Vertex AI
Pipeline
Real-Time Analytics & Streaming
Sub-second dashboards, event-driven metrics, and operational intelligence from live data streams.
Kafka · Flink · Kinesis
Delivery model
How We Deliver
A proven four-phase model—from data maturity assessment to production analytics—so every investment ties back to measurable business outcomes.
01Assess & Roadmap
Audit sources, maturity, and gaps. Define a pragmatic 90-day path to trusted analytics.
Field notes
Why Analytics Initiatives Stall
Most data programmes fail on the same four blockers. We engineer past each one—so your platform delivers insights, not more spreadsheets.
01 · Problem
Data trapped in silos
Our approach
Unified lakehouse architecture with CDC pipelines that consolidate ERP, CRM, and operational sources into one governed platform.
02 · Problem
Reports that arrive too late
Our approach
Streaming ingestion and semantic models that cut reporting latency from days to minutes—with full lineage for audit.
03 · Problem
Teams don't trust the numbers
Our approach
Automated quality gates, data catalogues, and SLA monitoring so every dashboard is backed by verified, documented data.
04 · Problem
Analytics bottlenecked on engineers
Our approach
Self-serve BI layers and certified datasets that let business teams explore insights without filing a ticket.
Bridging the 48-Hour Latency Gap
A global supply chain operator unified 12 fragmented data domains into a single governed Data Fabric— replacing batch reconciliation with real-time operational intelligence.
Friction Point
Critical data silos causing 48-hour reporting latency across regions and ERP systems.
Architectural Approach
Medallion lakehouse, governed CDC pipelines, semantic business layer, and edge telemetry feeds.
Reporting latency
48h
Real-time
Unified data domains
12
1
Pipeline test coverage
0%
94%
30× faster insight delivery—with zero unplanned pipeline downtime.
Bring us your sources, latency, and trust gaps
A complimentary maturity assessment maps where data stalls today—and a 90-day path to trusted analytics your teams will actually use.