Custom Agent Orchestration for agentic search
We built ContextOS: an intelligent data-layer that allows you to orchestrate AI agents across your workflows while giving you full control over how and what the system thinks about. Plugs in seamlessly into your current stack.
Backed by leaders in Deep Tech & AI Research
ContextOS by siramai
AI agents struggle to accomplish complex tasks that require large and dynamic context.
At siramai, we make context engineering for large data workflows frictionless. ContextOS auto-enriches your data and auto-engineers tools, while adapting them with your business landscape.
Opinionated Engineering
"Opinionated and thoughtful engineering is required to ensure that an LLM has the right tools and heuristics for effectively navigating its information landscape."
- Anthropic
September 29, 2025
Ontology-first
Model your domain once; behavior and policies inherit from the graph.
Dynamic context
Retrieve, compress, and ground in real time across vector, graph, and metadata.
Model-agnostic routing
Use OpenAI, Anthropic, or local LLMs; optimize for latency, cost, and fit.
Production control
RBAC, audit trails, observability, and versioned configurations.
Solutions
Bespoke AI solutions for every workflow
Agentic Search
Deliver intelligence, not just results. Low latency, context-efficient pipeline built for today and tomorrow.
Learn moreData Enrichment & Annotation
Cost-effective enrichment with testing at scale; context-aware tools and QA.
Learn morePersonalized Recommendations
Agent-driven personalization and journeys aligned to brand KPIs.
Learn moreNo-Code Infrastructure
Governed visual workflows to orchestrate data, retrieval, and agents.
Learn more30-Day Implementation Timeline
We'll build ContextOS into your stack — in just 4 weeks.
Week 1
Week 1
Scope & Map
Align on use cases + KPIs, secure read-only access, draft a lightweight ontology.
Week 2
Week 2
Context Live
Connect core sources; stand up graph + vectors + metadata; enable RBAC/redaction/lineage.
Week 3
Week 3
Agents & Tests
Spin up agents + routing; run curated tests; track latency, tokens, grounding, quality.
Week 4
Week 4
Prove & Handoff
Tune for speed/cost; demo with traces; ship playbooks/policies; plan scale.