Proof in production
We don't just consult — we build and ship. Here's a selection of projects that demonstrate our approach to data, AI, and engineering at real client scale.
98%
of clients choose long-term collaboration
4
core service domains
100%
ROI-focused delivery
Real problems. Real results.
LLM-Based Master Data Optimisation
Client: BayWa AG
BayWa needed to clean and standardise a large-scale master data estate that had accumulated inconsistencies across business units over years. Manual remediation was too slow and too expensive at scale.
Challenge
Inconsistent product master data across thousands of SKUs, preventing reliable reporting and downstream automation.
Solution
We developed a large language model pipeline to classify, deduplicate, and enrich master data records at scale — reducing manual effort by over 80%.
Outcomes
- Automated classification of product master records
- 80%+ reduction in manual data cleaning effort
- Improved data consistency for downstream analytics
- Reusable pipeline integrated into existing ERP workflows
Automated Image Analysis for Hybrid Materials
Client: Industrial R&D
A research and development project requiring automated visual inspection of composite material samples. Manual inspection was a bottleneck in the quality control loop and introduced operator subjectivity.
Challenge
High-volume visual inspection of hybrid materials with complex defect patterns that varied by material composition and process conditions.
Solution
We trained a convolutional neural network on annotated sample images and deployed it as an inference API integrated with the existing quality management system.
Outcomes
- Automated defect detection with >95% accuracy
- Removed manual inspection bottleneck from production loop
- Consistent, reproducible quality grading
- Deployment via containerised API for easy integration
Explore our service areas
Each case study above is underpinned by one or more of our core service disciplines. Dive into the details.
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