The core innovation
Most AI is built around models.
DevRev is built around memory.
Every enterprise AI can search. None of them actually remember your business.
The gap no one else has closed
Top performer leaves - knowledge walks out. New hire starts - rebuilds from scratch. Two people ask the same question - two different answers.
Not a technology problem. A memory problem.
Retrieval-based AI
Starts from zero every session. Burns tokens rediscovering your business on every request. Searches for answers it should already know.
Shared Memory
Context assembled before the model runs. Relationships mapped before any question is asked. Answers computed from a live knowledge graph.
Three things this makes possible
Precision
Answers from deterministic graph traversal - not probabilistic context-window retrieval.
Efficiency
Cost scales with answer size, not total data volume. 95% fewer tokens at enterprise scale.
Safety
Permissions enforced at the memory layer. Every answer auditable, traceable, reversible.
It compounds
Personal memory (sessions resume where they left off). Team memory (one person's skill benefits everyone). Org memory (institutional knowledge survives turnover).
Retrieval-based AI gets more expensive as data grows. Computer gets smarter.
Under the hood
The system architecture
8 purpose-built data stores, patented bidirectional sync, permission-aware governance. Click any node to explore.