AI fleets that run your business
An Agent Operating System is the production agentic AI infrastructure that drives your operations — RAG pipelines, MCP servers, multi-agent orchestration, and the enterprise integrations that make them real. Not chatbot wrappers. Not tool configuration.
Not chatbot consulting. Custom AI infrastructure.
RAG, MCP, agent reliability — production-grade systems built into your stack. The same depth we ship for ourselves, delivered for you.
RAG that actually ships.
Hybrid search, re-ranking, embedding pipelines, vector infrastructure. Production retrieval engineering, not basic vector lookup.
- BM25 + dense vectors with cross-encoder re-rank
- Embedding pipelines with CDC
- pgvector or Pinecone, your call
MCP servers from scratch.
We build the protocol layer. Custom MCP server development, tool integration, capability negotiation, production deployment.
- Custom MCP server development
- Tool integration patterns
- Capability negotiation + auth
Agents built to last.
Pydantic validation, Reviewer pattern, state management, evals. Production agents that wake up every morning and do the work.
- State machines + reliability patterns
- Cross-model review gates
- Evaluation systems + drift detection
The agents above are running in production at ESS right now. Meet the fleet — same approach, your stack.
Or read the blog — MCP series, RAG architecture, agent reliabilityA working fleet looks like this.
We dogfood AOS inside ESS. 36 agents organized as a real org chart — a Chief of Staff, a CTO with his engineering org, a CFO with her finance desk, plus the cross-cutting communications and observability backbone. We'll build a fleet like this for you the same way.
About the codenames: they come from the Transformers — a generational reference, picked for fun. The names are flavor; the work is real.
Meet the AI StaffOne Orchestrator. One Price. One Month.
$35,000 per month, flat, per Orchestrator. An Orchestrator is one senior US human technologist plus the team of AI development agents they command. Month-to-month. AI infrastructure costs (model calls, vector storage, hosting) billed at cost — no markup.
Ready to Build?
Let's talk about your project. We'll give you an honest assessment of scope, timeline, and cost.
Frequently Asked Questions
What kind of AI systems do you build?
Production RAG pipelines (hybrid search, re-ranking), MCP servers, agent architectures with reliability patterns, evaluation systems. Not chatbot wrappers.
How is the team structured?
One Orchestrator — a senior US human technologist — commands a fleet of AI development agents that do the implementation work. That is the unit. Need more capacity? Add another Orchestrator at the same flat rate.
Do you replace our team?
No. We integrate with your team, transfer knowledge, and ensure you own the AI systems we build together.
What technologies do you use?
MCP, pgvector/Pinecone/Weaviate, OpenAI/Anthropic APIs, LangGraph, Pydantic, Kubernetes. We match tech to your needs.
Agent-friendly
AI-ready summary
- Agent Operating System (AOS): AI fleets that run your business — RAG pipelines, MCP servers, multi-agent orchestration, enterprise integrations.
- Production agentic infrastructure, not chatbot configuration. One Orchestrator commands an AI development fleet that builds your AOS.
- $35,000 per month, flat, per Orchestrator. AI infrastructure costs billed at cost. US-based, month-to-month, no lock-in.
Key facts
- Offer: Agent Operating System (AOS) — $35K/mo flat per Orchestrator (senior US human + AI dev fleet, AI infrastructure at cost)
- What We Build: RAG, MCP, multi-agent orchestration, evaluation systems, enterprise integrations
- Team: One Orchestrator (senior US technologist) + their commanded fleet of AI development agents. Add Orchestrators for more capacity at the same flat rate.