Technology & How It Works

KAIROS combines distributed knowledge graphs with AI agents using a cloud-neutral, high-performance architecture. Explore our innovative approach to real-time reasoning, state management, and seamless integration with enterprise systems.

How KAIROS Works

Graph DB

Distributed knowledge graphs / data sources

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KAIROS LogoKAIROS

High-performance architecture, state management, providing incremental processing & reasoning

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LLM

Consumes knowledge in real time

Data flows continuously from the Graph Database into KAIROS, where it’s processed and refined incrementally before being delivered to the LLM for reasoning, decisions, and actions.

Key Features & Innovations

Incremental Reasoning

Processes only updated portions of the knowledge graph, enabling real-time insights and low-latency responses.

Distributed & Strongly Consistent

Ensures reliability across nodes with replicated state machines and fault-tolerant mechanisms.

Middleware Integration

Seamlessly connects structured knowledge to AI agents for real-time reasoning and decision-making.

State Reuse & Caching

Optimizes performance by reusing intermediate computation states across AI workflows.

Technical Specs & Integrations

Connectors

Neo4J and extensible for future integrations (Kafka, SQL, REST APIs)

Deployment Options

Cloud-neutral or on-premises deployments

Performance Highlights

Low-latency, highly scalable, fault-tolerant