Relationship-First Reasoning
Go beyond text passages. Your agent queries entities and typed relationships at inference time, allowing it to understand how Entity A relates to Entity B instead of just summarizing isolated snippets.
Agent Memory
A structured world model, not a conversation history.
Agents that rely on conversation context and flat retrieval hit a ceiling quickly. Perseus gives your agent a persistent, queryable knowledge graph it can reason over across sessions.
Specialized agents require structure, not just search.
Retrieving documents isn't enough. To reason over complex domains, agents need to understand what changed last quarter and why decisions were made. Perseus provides the structured world model that flat RAG cannot deliver.
Agentic Retrieval API
A retrieval layer designed for agent workflows. Get structured results with configurable traversal depth and source attribution, providing the precise context needed for complex decision-making.
Persistent World Models
When your domain changes, the graph updates. Maintain a persistent intelligence layer that stays current across sessions for specialized fields like regulatory intelligence, finance, or technical documentation.
Start free, scale with confidence
Launch your first graph-powered agent flow quickly, then scale to enterprise throughput with reliability, support, and infrastructure options designed for production teams.
DevelopREST & Python SDK
ExecuteServerless compute
ScaleEnterprise ready
MonitorConsole & alerts