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.
What We Build
The same deep technical work we write about on our blog — MCP, RAG, agent reliability — is what we implement for clients.
RAG Systems
- Hybrid search (BM25 + dense vectors)
- Re-ranking with cross-encoders
- Embedding pipelines with CDC
- Vector infrastructure (pgvector, Pinecone)
MCP Implementation
- Custom MCP server development
- Tool integration patterns
- Capability negotiation
- Production deployment
Agent Architectures
- State management frameworks
- Reliability patterns (Pydantic, Reviewer)
- Orchestration systems
- Error recovery and fallbacks
AI Evaluation & Monitoring
- Golden dataset creation
- LLM-as-a-Judge evaluation
- Drift detection
- Guardrails and safety
Enterprise Integration
- ERP/CRM connectivity
- Data warehouse integration
- API design for AI systems
- Legacy system bridging
Knowledge Transfer
- Your team involved throughout
- Documentation and training
- You own the result
- Ongoing support options
This Is Not Chatbot Consulting
We don't configure off-the-shelf AI tools and call it “implementation.” We build custom AI infrastructure:
RAG That Actually Works
Hybrid search, re-ranking, embedding strategies. Production retrieval engineering, not basic vector search.
MCP From Scratch
We build MCP servers. Tool integration, capability negotiation, production deployment patterns.
Agent Reliability
Pydantic validation, Reviewer Pattern, state management, evaluation systems. Production-grade agents.
Read our blog — MCP series, RAG architecture, RLHF. That's the depth we bring to implementations.
Explore the Blog
Recent Work
3M+ lines of production code shipped using agentic workflows
ERP Integration & Data Systems (MDSi, Segra)
Startup Data Platform with Multi-System Integration (Climb Analytics, FieldRoutes, ADP, Podium)
This Website - VibeCoded with Claude, Gemini & Codex
Our methodology: 100% agentic/vibe-coded - DevOps, requirements, security, all through agents
Our Approach
We Build With You
Not a black box. Your team is involved at every step. We're building your capability, not just delivering code.
- • Regular working sessions with your team
- • Knowledge transfer throughout
- • Your team owns the result
We Build AI Systems
RAG pipelines, MCP servers, agent architectures. Custom infrastructure, not tool configuration.
- • Production RAG with hybrid search
- • MCP server implementation
- • Agent evaluation frameworks
Enterprise-Class Standards
25 years of enterprise software experience. Production-ready from day one.
- • Security-first architecture
- • Scalable infrastructure
- • Full documentation
100% US-Based
No offshore handoffs. Direct communication with the team that's actually doing the work.
- • Atlanta-based team
- • Same timezone communication
- • Direct access to engineers
One 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.
Why We Don't Do Part-Time
After running multiple consulting firms over 25 years, we've learned the hard way: the #1 cause of project failure is resource fragmentation. Orchestrators split across projects, bad estimates, or worse — both. Many firms still do this. We don't. Your Orchestrator stays 100% dedicated to your project. No split time, no context switching.
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.