Illustration for LLM integration and orchestration

TIER 2 — CORE AI SERVICE

LLM Integration & Orchestration

The problem isn't picking an LLM — it's making it work reliably inside existing enterprise architecture.

THE REAL CHALLENGE

Integration is harder than selection

Picking the model is easy. Making it work inside your architecture isn't.

Architecture

Model selection with reasons

MODEL AGNOSTIC

We work with OpenAI, Anthropic, Google, Mistral, and open-source models. Recommendations are driven by your use case, cost profile, and data residency requirements — not vendor relationships.

PROOF: DELIBERATE MODEL SELECTION

Callbrief.ai runs on Claude Opus specifically because call preparation demands the highest tier of reasoning. Mavenn.ai orchestrates multiple models because consensus reduces hallucination risk. Every architecture decision has a reason.

LLM INTEGRATION SCOPE

What we build

RAG PIPELINES

Retrieval-Augmented Generation connected to your enterprise data — documents, databases, EHR systems, knowledge bases. The model answers from your data, not from general training.

MULTI-MODEL ARCHITECTURE

Right model for right task. Not single-vendor lock-in. We select models based on your use case, cost profile, and data residency requirements — not vendor relationships.

PRODUCTION-GRADE RELIABILITY

Monitoring, fallback routing, cost optimization, and the operational discipline that keeps AI systems running after launch.

FINE-TUNING & PROMPT ENGINEERING

Domain-specific accuracy through systematic prompt engineering and, where justified, fine-tuning on your data. Measurable improvement, not guesswork.

LOCAL & PRIVATE DEPLOYMENT

LLMs deployed within your own infrastructure — on-premise hardware, AWS Bedrock, Azure OpenAI. Complete data sovereignty. Nothing touches the public internet.

DATA SOVEREIGNTY

Local and private deployment

As the claw ecosystem matures — with OpenClaw, NemoClaw, and proprietary agent platforms — multi-model orchestration becomes critical infrastructure. Claws need to route to the right model for each subtask. We build that routing layer.

DISCUSS YOUR ARCHITECTURE

Book a technical conversation — bring your architecture and we'll map the integration.

contact@proticom.com
844.PROTICOM
proticom.ai