Context OS
Enterprise Platform for Ingesting Context & Orchestrating AI Agents

Platform Architecture & End-to-End Workflow

ContextOS bridges enterprise client data with specialized AI agents through a secure pipeline:

STEP 1

1. Client Onboarding

Register enterprise clients, specify industry domains, and set up cross-account AWS IAM roles.

Go to Clients →
STEP 2

2. Secure Data Upload

Ingest client data via Presigned URLs, STS keys, or zero-trust Cross-Account S3 Role Assumption.

Go to Data Upload →
STEP 3

3. Context Store

Browse, query, or manually inject structured context objects tagged by client and category.

Go to Context Store →
STEP 4

4. AI Agent Jobs

Run AI agents (Enrichment, Anomaly Detection, Recommendations) against context & monitor results.

Go to AI Agents →
AI BOT

5. Knowledge Graph Bot

Chat with the Neo4j Aura knowledge graph. Ingest facts or ask complex relational questions instantly.

Open Graph Bot →

Platform Operations & Live Metrics

Monitor live operational metrics, active agent jobs, and recent context ingestion events across all clients.

Open Operations Dashboard →