We specialise in marketing agents.
We've built a lot more.

We built a multi-agent AI system that auto-generates code templates in a custom domain-specific language (DSL) for a global data intelligence company. The system produces high-quality drafts with detailed diagnostic reports, turning a 30-person team's manual template-writing workflow into an AI-assisted review process — saving ~80% of time per template.

We designed and built a single ML model architecture that handles hierarchical product classification across multiple taxonomies, replacing 300 separate models that a global data intelligence company maintained for product categorization. The unified model reduced maintenance overhead dramatically and saved $100K+/year in infrastructure and operational costs.

We built risk scorecards and analytical pipelines for a US payday lender operating across multiple states, serving both consumer and small-business lending. We delivered traditional scorecards (bureau data, application fields, behavioral signals) and robust ETL so operations could rely on a single, consistent risk view. On that same engagement type we also deliver an AI layer that uses unstructured data—application free text, underwriter notes, document content—to refine the score or flag edge cases that structured data alone misses.