Document processing
Extract, classify, and route documents automatically.
From RAG systems to custom agents, we build AI solutions that plug into how your business already runs. Not demos: production systems.
Retrieval-augmented generation turns your documents, knowledge bases, and internal data into accurate answers grounded in your actual information, with sources you can check.
$ query "What's our refund policy for enterprise clients?"
# Searching knowledge base...
3 relevant documents found
Answer: Based on the Enterprise Agreement v2.3,
refund requests within 30 days are...
[source: contracts/enterprise-v2.3.pdf, p.4]Beyond chatbots: AI agents that reason, plan, and execute multi-step work across your tools, with guardrails and a human in the loop where it matters.
# Agent reasoning loop
while not task.complete:
observation = agent.observe()
action = agent.plan(observation)
if action.needs_approval:
action = human.review(action)
result = agent.execute(action)The Model Context Protocol is the emerging standard for connecting AI models to tools and data. We build MCP servers that let Claude and other assistants work safely with your internal systems.
// MCP server exposing your internal APIs
const server = new McpServer({ name: "operations" });
tools: [
"get_customer_record",
"create_support_ticket",
"query_inventory"
]n8n is the open-source automation platform that ties your tools, data, and AI together. We design, host, and maintain workflows that run reliably without babysitting.
Not replacing your team: augmenting it. We add AI to the processes you already run to speed up decisions and cut manual work.
Extract, classify, and route documents automatically.
Prioritize, summarize, and draft responses.
Reduce manual entry with AI extraction.
Generate recurring reports from your data.
We don't just build AI solutions, we run on them. Our own workflows are AI-assisted, so we know what works and what creates technical debt.
We use AI coding assistants every day and know where they speed things up and where they need a human.
RAG systems power our own knowledge retrieval, so we have already solved the problems you will hit.
Our operations run on n8n and custom automations. Real experience, not theory.
Let's talk Not hype: practical AI that works. Discuss your workflow