FunnelCraftAgency Partnerships
AI Automation & Development/AI Systems & Infrastructure

Production AI Infrastructure Engineering Built Behind the Agent.

We architect the production backend systems behind the AI agent — RAG pipelines, vector databases, model orchestration, and enterprise data security.

Enterprise RAG Pipelines

Connect AI models directly to internal documents, CRMs, and databases with sub-300ms vector retrieval speed.

Dynamic Model Orchestration

Smart LLM routers that fallback between GPT-4o, Claude 3.5, and Llama 3 based on cost, speed, and accuracy demands.

Zero Data Retraining Guarantee

Enterprise security pipelines ensuring private client data is never leaked or used to train public LLM models.

White-Label Scope

Production AI Infrastructure

End-to-end AI system engineering: data pipelines, model orchestration, vector stores, and the backend infrastructure an agent or automation actually runs on.

Retrieval-Augmented Generation (RAG) Architecture
Vector Indexing & Embedding Pipelines (Pinecone/pgvector)
Model Evaluation, Benchmarking & Safety Guardrails
Custom Model Fine-Tuning & LLM Router Gateways
Explore Related Capabilities:
Conversational AI Agents Custom Apps & Client Dashboards

Scope AI System Architecture

Fill in your project requirements. Server-side validated and processed under full confidentiality terms.

Strict NDA Enforcement • Direct SLA Response
AGENCY EXPERTISE & STANDARDS

AI Systems & Infrastructure Tech Stack

Why top digital agencies choose us to fulfill high-margin projects without expanding internal payroll.

Vector DB & Search

  • Pinecone Enterprise Vector Store
  • PostgreSQL pgvector Architecture
  • Qdrant & Chroma Indexing
  • Hybrid Semantic & Keyword Search

RAG & Pipeline Engines

  • LangChain & LlamaIndex Frameworks
  • Chunking & Token Optimization
  • Embedding Model Fine-Tuning
  • Automated Knowledge Base Sync

Model Orchestration

  • OpenAI, Anthropic & Llama 3 Router
  • Fallback & Load-Balancing Gateways
  • Prompt Evaluation Benchmarking
  • Response Latency Optimization

Enterprise Privacy & Repo

  • Zero Data Retraining Guarantees
  • AWS & Azure Private VPC Setup
  • SOC-2 Compliant Encryption
  • 100% Agency Code Transfer
STEP-BY-STEP WORKFLOW

AI Systems Execution Timeline

Clear step-by-step workflow from initial brief to 100% white-label handoff.

PHASE 011-3 Days
System Architecture Scoping
Data flow diagram, model selection, vector DB sizing, and security compliance audit.
PHASE 024-7 Days
ETL & Vector Indexing Build
Data ingestion pipelines, chunking algorithm setup, and vector database seeding.
PHASE 033-5 Days
Orchestration & API Gateway
FastAPI endpoints, model router fallback logic, and prompt guardrail wiring.
PHASE 041-2 Days
Load Testing & Agency Handoff
Latency benchmarking, security penetration check, production deploy, and repo transfer.
AGENCY FAQS & GOVERNANCE

AI Infrastructure Agency FAQs

Everything agency founders need to know about our white-label execution, NDA protection, and profit margins.

RAG connects AI models directly to your client's private company files (PDFs, databases, Notion, CRMs) so the AI delivers 100% accurate, real-time answers based on internal knowledge without hallucinating.