Artificial Intelligence Integration
AI pipelines that run in the cloud — or entirely inside a closed network.
Before wiring AI into a product we ask two questions: where does the data go, and what happens when the model is wrong. The pipelines we build can run on a local model with nothing leaving the network. In a role-based multi-agent architecture each agent does its own job, all messaging passes through a single audited channel, and output ships only after human approval.
Highlights
- Local-model (Ollama) operation with no internet access required
- Role-based multi-agent architecture with a review chain
- Document processing, summarisation and decision-support pipelines
- A human approval step — AI never publishes on its own
- Connection to existing systems through the MCP tool protocol
Work that proves this capability
Automated Content Production Pipeline
A queue-based pipeline producing short videos from topic to publication, able to run entirely on a local model.
Multi-Agent Development Orchestration
A coordination system that plans a job, splits it and distributes the parts to role-based specialist agents.
Let's talk about your project
Tell us what you want to build and we will tell you how, and how long it takes. The first conversation is free.