Turn Enterprise Data Into Living Memory
3YWA converts large, fragmented enterprise data into structured, agent-ready memory that evolves with interaction — enabling better search, reasoning, and AI agents that actually work in production.
Trusted by leading AI teams
Enterprise AI Fails Because of Context, Not Models
Most organizations struggle to deploy reliable AI systems — not because the models aren't good enough, but because enterprise data is fragmented, siloed, and constantly changing.
What Goes Wrong
Data lives in dozens of disconnected systems (Slack, Drive, Notion, CRMs, wikis)
Search returns fragments, not understanding of relationships or context
AI agents operate on stale or incomplete information, leading to errors
Teams spend months building fragile, custom pipelines for each AI use case
AI systems fail not because models are weak — but because they don't have memory.
AI Needs Memory, Not More Retrieval
Most AI platforms focus on retrieval (RAG) or orchestration (agents). But reliable AI systems require something deeper.
They need a shared, structured memory layer that represents how an organization actually works — and stays up to date as work happens.
That's what 3YWA provides.
Not Just Retrieval
RAG finds documents. Memory understands relationships, ownership, and temporal context.
Shared Foundation
One memory layer serves all AI systems, instead of per-agent custom pipelines.
Continuously Updated
Memory evolves as work happens, without rebuilding indexes or pipelines.
From Data Chaos to Agent-Ready Memory
3YWA doesn't just index or retrieve data. It converts enterprise data into memory — persistent, structured, and usable by AI systems.
Living Memory Layer
A continuously updated representation of enterprise data that AI systems can use as memory.
This memory layer powers better search, reasoning, and agent behavior as information changes over time.
Structure, Not Just Text
3YWA ingests documents, conversations, decisions, and metadata — preserving structure instead of flattening everything into embeddings.
Temporal & Relational by Default
Knowledge is captured with time, ownership, and relationships intact, so context doesn't go stale.
Agent-Ready Memory Automatically
No custom ETL. No per-agent pipelines. Ingest once, reuse across every AI system.
Four Steps to Production AI
From fragmented data to AI systems that work reliably in production.
Connect
Link your data sources — documents, chats, CRMs, internal tools, and systems.
Ingest & Structure
3YWA converts raw data into structured, temporal, connected memory.
Deploy
AI systems query shared memory with full organizational context.
Evolve
As work continues, memory stays current through interaction.
Why Choose 3YWA
Built for teams who need AI systems that work reliably in production.
Production-Ready from Day One
Deploy AI systems in under a day, not months of custom pipeline development
Shared Memory Foundation
One memory layer serves all AI systems, eliminating per-agent custom pipelines
Continuously Updated
Memory stays current as source systems change, without rebuilding pipelines
Enterprise-Grade Security
SOC 2 Type II, GDPR compliant, with role-based access control and audit logs
50+ Enterprise Connectors
Connect Slack, Drive, Notion, CRMs, databases, and internal systems in minutes
Developer-First APIs
Python, TypeScript, and REST APIs with comprehensive documentation
Ready to Build AI That Works?
Join leading AI teams using 3YWA to turn enterprise data into agent-ready memory.