Consumer intelligence
A reproducible data platform for global trend intelligence
After a discovery phase, we designed and built WGSN's new data platform on AWS and Snowflake and proved it end to end with a social-media trend product.
WGSN
Case studies
An IoT and machine learning platform for a chemicals producer
We built an Azure data platform that feeds machine learning models, so plant operators get early fault detection and recommendations.
The client
A chemicals company producing gasoline from methane wanted to use its plant data to run the process more efficiently. We don’t publish the client’s name.
The challenge
Process data needed to flow from the plant into models that could spot faults early and advise operators, without disrupting production.
What we did
- Designed a data transformation and machine learning platform on Azure managed services.
- Built the data flow from plant sensors into machine learning models that detect faults and recommend actions.
- Worked alongside the client’s data scientists with a rigorous MLOps approach, so models could be deployed and updated safely.
The result
Operators get prompt fault detection and operational recommendations, helping the plant run more efficiently.
More case studies
All case studies-
Public sector
A national-security data platform, built in six weeks
We built a platform to ingest, model and search petabytes of investigation data, cutting lead times from weeks to hours.
UK government agency
Trade finance
A trade-finance blockchain re-platformed onto Corda in six months
We migrated DLT Ledgers' trade-finance network from Hyperledger to R3 Corda on Azure and Google Cloud, from proof of concept to production in six months.
DLT Ledgers and R3
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