What We Offer

Applied AI Services

AI that answers from your approved content, not around it. We assess readiness, ground retrieval in structured sources, and automate where it actually pays. No platform pitch.

Overview

Applied AI

We work at the intersection of structured information and artificial intelligence, building systems that are both rigorous and adaptive for organizations in regulated, high-stakes environments.

Agent systems and automation:

We design and build multi-agent systems that orchestrate local and cloud AI models to automate complex workflows. From document processing pipelines to code review to automated publishing, we create agent architectures that let organizations scale their technical capabilities without scaling headcount.

Multi-agent system design and orchestration
Local model integration (Ollama, open-source LLMs)
Automated document processing and publishing pipelines
AI-powered security auditing and code review
Model tier optimization: the right model for each task
Agent testing and evaluation frameworks

Knowledge graphs and grounded retrieval:

We build GraphRAG systems that transform organizational knowledge into queryable intelligence. By connecting documents, people, concepts, and decisions through semantic search and knowledge graphs, we help organizations find the right information at the right time.

GraphRAG architecture and implementation
Knowledge graph design and optimization
Vector search and semantic retrieval
Organizational knowledge synthesis
Document ingestion and chunking pipelines
Content indexing with local embedding models
Enterprise search modernization

The pattern across all of it: AI delivers when it is grounded in structured, validated content. That is why our AI practice and our content engineering practice are the same practice. We are not an AI reseller. We build what your requirements actually need.

Also from Shakewell