What We Build
User Memory Layers
Persistent memory systems that store user preferences, past interactions, goals, and context — automatically retrieved and injected into every AI response so users never have to repeat themselves.
Personalisation Engines
Systems that model individual user behaviour and adapt AI responses, recommendations, UI elements, and content in real-time — making every user feel the product was built specifically for them.
Long-Term Context Management
Context management solutions that go beyond token limits — using vector search, summarisation, and retrieval to give AI models access to months of user history without breaking the context window.
Preference Learning Systems
AI systems that implicitly learn what each user likes, dislikes, and needs from their behaviour — without requiring explicit settings pages or onboarding questionnaires.
Technical Architecture
Vector Memory Stores
We use Pinecone, Weaviate, or pgvector to store user interactions as semantic embeddings — enabling similarity search that retrieves the most relevant past context for any new query.
Memory Hierarchy Design
We architect tiered memory systems — episodic (specific events), semantic (general facts about the user), and procedural (preferences) — each retrieved at the right time for maximum relevance.
Privacy-Safe Memory
Memory systems built with explicit consent, per-user data isolation, and the ability for users to view, edit, and delete their stored memory — GDPR and CCPA compliant by design.
Real-Time Personalisation APIs
Low-latency personalisation APIs that inject user context into your AI features in <50ms — ensuring personalisation never degrades response speed.
Use Cases
AI Assistants & Copilots
Give your product's AI assistant genuine continuity — it remembers what the user worked on yesterday, their preferences, and their ongoing projects.
E-commerce Personalisation
AI that knows each shopper's style, size, budget, and history — delivering truly personalised recommendations, not just collaborative filtering.
EdTech & Learning Platforms
AI tutors that remember each learner's knowledge gaps, learning pace, and preferred explanation style — adapting every lesson to exactly where that student is.
Healthcare AI
Clinical AI tools that remember patient history, medication sensitivities, and care preferences — providing context-aware support that improves safety and outcomes.