ATTICUS
Organisational intelligence for the AI era. Atticus provides enterprises with a searchable, intelligent memory of everything they know—tracing decision provenance, preserving institutional knowledge, and feeding verified context into engineering teams.
Knowledge Ingestion & Provenance Architecture
Atticus structures enterprise memory through a Rust-based high-performance backend, connecting code commits, architecture records, and conversations into a queryable topological knowledge graph.
Enterprise Memory Capabilities
Engineered to capture and contextualize institutional knowledge without relying on opaque, ungrounded neural hallucinations.
Organisational Memory Ingestion
Ingests heterogeneous technical records—Git commits, PR review debates, Architectural Decision Records (ADRs), incident postmortems, and technical discussions.
Decision Provenance Engine
Maintains the chronological lineage of why engineering choices were made, who proposed them, what alternatives were rejected, and what technical constraints applied.
Relationship Intelligence
Maps cross-service dependencies, author domain expertise, and organizational topology to identify knowledge silos and single points of human failure.
Hybrid Retrieval Matrix
Combines deterministic relational graph traversal with semantic vector search for sub-second retrieval with exact document citation and line-level references.
Verified Agent Context Feeds
Supplies coding agents and developers with grounded, tamper-checked institutional context, preventing agents from reinventing or violating existing architectural precedents.
Sovereign Identity & RBAC
Strict multi-tenant cryptographic partitioning ensuring sensitive corporate IP, personnel records, and restricted project documentation remain isolated.
ATTICUS Core API Endpoints (Rust / Axum Engine)
High-throughput ingestion & retrieval endpoints
ATTICUS is currently in active enterprise development and private developer preview. Enterprise pilot deployments are managed directly through Granwel engineering.