IPInner Product
Matching systems lab

Algorithms for better introductions

Working on algorithms to create matches for you.

Inner Product is building matching models that learn from real preferences, social context, and reciprocal fit.

Preference signals

Turning intent, context, and constraints into cleaner matching inputs.

Reciprocal fit

Looking for matches that make sense from both sides, not only one ranking.

Human outcomes

Optimizing for better introductions, conversations, and follow-through.