Product-Embedded AI for an Electron Microscopy Equipment Manufacturer

The situation

Researchers were wasting hours selecting the right combination of techniques to obtain the best image. Protocols were scattered across notes and experienced scientists’ memories.

What we built

• An AI-powered assistant embedded directly into the product
• Optimal protocol recommendations based on material type, context and target outcome
• Structured domain knowledge combined with semantic AI — not a generic chatbot
• A system that learns and improves over time

The outcome

An AI engine architected for direct embedding into end products — differentiating the product, strengthening OEM partnerships and generating market intelligence, while codifying institutional expertise that would otherwise walk out of the door.