Find relevant experience
Three ways to explore our engineering work. Each example shows the problem, our contribution and what we delivered.
AI and data component
You have a client project and need an experienced team to own a difficult data or AI component.
Relevant workSemantic talent and company sourcing: ingestion, vector search and LLM-assisted ranking.
Data engineering workflow
Your product depends on reliable data. You need better collection, updates, quality or delivery.
Relevant workTelecom infrastructure mapping: provider responses normalized into a consistent dataset.
Full-stack product
You know the users and the problem. You need a technical team to turn the idea into a useful product.
Relevant workMindSpark AI: Python data collection, GPT integration and a Next.js SaaS interface.
The diagrams summarize the published cases. Browse all projects by technical area below.
