Featured highlights
Four projects we are especially proud of. Each one combined deep engineering, domain knowledge, and a clear business case from day one.
Streaming personalisation at 10 million events per hour
A Kafka plus Spark Streaming pipeline that ingests every click, view, and cart event in real time, scores it against a personalisation model, and returns recommendations in under 100 milliseconds. Conversion lifted 27 percent in the first quarter.
Discuss a similar buildPredictive ICU occupancy that saved 8.2 million dollars
We built a real-time occupancy engine for a 600-bed hospital group that forecasts ICU demand hours ahead of time. Bottlenecks dropped 31 percent and resource allocation improved across the entire network.
Discuss a similar buildReal-time fraud detection with Kafka and Flink
A streaming pipeline that scores every transaction in milliseconds, using complex event processing to catch coordinated fraud rings as they happen. False positives fell by a third while genuine fraud detection improved.
Discuss a similar buildEnd-to-end supply chain visibility on AWS
We ingested shipment events from carriers and IoT sensors through Kinesis Firehose into S3, transformed them with Glue and PySpark, and orchestrated everything with AWS MWAA. Late deliveries dropped 22 percent and fuel costs 14 percent.
Discuss a similar buildThe work that best represents what we do
A curated selection of Lognatech projects, client outcomes, and platform builds. Each one shows a different side of what we deliver: streaming pipelines at scale, predictive AI in production, cloud data platforms, and analytics systems that changed how a business operates.
Flagship project: healthcare claims analytics platform
A deeper look at one engagement that shows how we combine data engineering, cloud architecture, and applied AI into a single deliverable.
Azure, Databricks, Delta Lake, and Power BI
A 600-bed hospital group had a decade of claims data spread across multiple systems, no single view of denials, and a revenue cycle team spending most of their time on manual reconciliation. We were asked to build a modern analytics platform that could fix all three problems at once.
What we built
- Medallion architecture on Azure Data Lake Gen2 with bronze, silver, and gold layers.
- Databricks notebooks for cleansing, standardising, and enriching data with Delta Lake tables.
- HIPAA-compliant governance using Unity Catalog, with column-level lineage across the platform.
- Power BI dashboards for revenue cycle, denials, and payer performance.
The outcome
Claims processing time dropped by 40 percent. Denial rates fell measurably across every major payer. And within the first year, the platform recovered 3.1 million dollars in previously denied claims, paying for itself several times over.
Discuss a similar buildWhat makes these projects featured
Not every project gets highlighted. These four made the cut because they share four qualities we look for in every engagement.
Clear business case
Every featured project started with a defined outcome: conversion, cost, revenue, or patient outcome.
Fast time to value
Prototypes in weeks, production in a quarter. Results measurable from the first month of use.
Engineering depth
Real streaming, real orchestration, real governance. Production systems, not demo notebooks.
Long-term partnership
All four clients are still working with us today. That is the outcome we care about most.
200+
enterprises trust our project teams
93%
predictive accuracy across delivered models
3
continents served: USA, Dubai, Africa
24/7
monitoring and support on live systems
More of the work we deliver
If you want the broader picture, our Projects page has the full catalogue across every industry and platform we work with.