Engineering an AI matchmaking platform that understands intent before making an introduction

The challenge

Professional networks can create high volumes of connections without enough relevance. The product needed to understand what users want, what they can offer and whether two professionals are likely to create value for one another, while keeping matching scalable, privacy-aware and commercially usable.

What Pixelette built

Pixelette designed and developed the AI architecture and MVP route around structured onboarding, professional-profile intelligence, persona/vector creation, compatibility scoring, AI-assisted matchmaking, controlled agent-to-agent interaction, feedback-led refinement, dashboards and B2B event/API integration routes.

How we delivered it

Discovery workshops → onboarding/persona design → matchmaking architecture → LLM/NLP and compatibility logic → agent interaction controls → dashboard/integration design → iterative MVP development and Phase 2 planning.

The result

The engagement moved 2Connect from concept and discovery into a structured AI product architecture and MVP development programme, with defined matching flows, a working development environment and later-phase product planning recorded in the project trail.