Applied
Intelligence.

Abstract geometry solves concrete business problems. Here is how we apply our research to real-world infrastructure challenges.

AI Memory

Voice Agent Tutor

Problem: The Amnesia Problem

Voice-based education platforms need AI tutors to remember student progress, learning style preferences, and specific struggles across sessions spanning weeks.

The Solution

Jean Memory provides long-term state persistence. The system encodes learning goals and 'forgets' irrelevant chitchat, maintaining a coherent teacher-student relationship over time.

Retention Lift

Embedding Adapter

Infrastructure Stability

The Upgrade Trap

Our Embedding Adapter learns a high-fidelity mapping between old and new latent spaces, allowing instant model switching without re-indexing legacy data.

Zero Downtime

Outcome Vectors

Niche Dating App

The Semantic Plateau

Two-Tower models trained on successful matches align profiles based on outcome probability rather than just keyword similarity.

Higher Match Quality

Credit Union Consortium

Latent Bridge

Problem: The Silo Effect

A protocol allowing banks to share a geometric translation layer to query a collective 'fraud space' without ever exposing sensitive member data.

Fraud Prevention

Enterprise RecSys

Behavioral Identity

Problem: Fragmented Views

A Unified Behavioral Identity layer that treats user history as a trajectory through a shared latent space, enabling transfer learning across video, news, and podcasts.

Cross-Platform Lift

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