🚀 Free Pilot Program

We work hands-on with your team to build your first workflows—completely free. 4-week pilot • Your data stays in your VPC

Start Free Pilot
ContextOS Platform

ContextOS

Turn your data flow AI-native.

The platform for building and operating adaptive, multi-agent systems over big/live data. Ontology-first. Model-agnostic. Production-ready.

ContextOS Platform Architecture

What it is

Built from the ground up for complex, dynamic AI workflows

Agentic substrate

Coordinate specialized agents that share context through a unified data layer.

Search Agent
Status: Active
Shared Context Layer
2.1k docs
850 rels
Enrich
Validate

Ontology-first design

Define entities and relationships once; behavior and policies inherit from the graph.

Product
id, name, price
→ Category
User
id, email
→ Product[]

Dynamic context curation

Zero-shot context optimization across vector, graph, and metadata stores—built for speed and accuracy.

Context Optimizer
Live
Vector Store2.4k tokens
Graph DB1.8k tokens
Metadata0.3k tokens
Optimized
892 tokens

ML-ready by design

Bring your own embeddings, flip on GNN signals, and go multimodal—no lock-in.

OpenAI GPT-4
Analysis
80ms
Claude 3
Generate
120ms
Llama 3 Local
Classify
45ms

Retrieval & ranking controls

Fusion (BM25 + vector + graph), rerankers, freshness/authority weighting—tune recall vs. precision per route.

Hybrid Retrieval
Active
BM2530%
Vector50%
Graph20%
RerankingCross-encoder
ResultsTop 10

Why it wins

Built for AI-native workflows from day one

FeatureContextOSLangChainn8nApache NiFi
Ontology-first architecture
Multi-agent orchestration
Dynamic context optimization
Hybrid retrieval (BM25+vector+graph)
Model-agnostic (OpenAI, Anthropic, local)
Built-in lineage & audit trails
Version control & rollback
No/Low-code interface
Deploy in your VPC

Ready to transform your AI infrastructure?

Let's discuss how ContextOS can power your next-generation AI applications

Schedule a Demo