Where we go deep

AI built for teams, not demos.

We design and ship AI systems that integrate with the tools your team already uses — and survive past the proof of concept.

Example architecture

Agent layer

LangGraph · multi-model routing

Retrieval

pgvector · semantic + keyword

Data & infra

PostgreSQL · Redis · your cloud

Deployed to

AWS or Azure · your accounts

Where we go deep

Enterprise AI Systems

Production AI for regulated sectors — legal, fintech, health. Role-based access control, evidence management, and audit automation, built toward ISO 42001 AI-governance practices. The architecture decisions that let your internal team take it over without a rewrite.

Role-based access control
Evidence & audit-trail management
RAG over governed data
ISO 42001-aligned governance

Custom LLM Agents

Agents that kill repetitive manual work — ticket triage, CRM enrichment, auto-summaries, and smart data pipelines — built on LangChain and LangGraph, grounded in your data, deployed in your infrastructure. Stacks we've built handle 100k+ requests a day in production.

Talk to us

Cloud Infrastructure

AWS and Azure, containerised with Docker and Kubernetes, shipped through CI/CD (GitHub Actions or Azure DevOps) with Terraform IaC. Key Vault, private DNS, and site-to-site VPN where the sector demands it. Provisioned, documented, and handed over — you're never dependent on us to restart a service.

AWS / AzureKubernetesTerraformGitHub Actions CI

Process & Data Automation

Connect the SaaS tools you already run — CRM, email, accounting, notifications — with n8n and custom workflows over your own and third-party APIs. Plus AI-augmented BI: custom Power BI visuals that call LLMs through a LangGraph + FastAPI layer, so a dashboard can summarise and reason, not just chart.

n8nPower BILangGraphFastAPI
Abstract AI cluster network visualization

Multi-region

by default

Built to last

Fast where it counts

Cached server components and edge-rendered frontends, so the pages users hit feel instant — performance treated as an engineering practice, not a guarantee we can't make for your data and your traffic.

Modular by default

Each service ships independently. You can swap an LLM provider, rip out a feature, or scale a worker without touching the rest.

Want to talk through a use case?