TECH STACK

The Technology Behind Our AI Systems

We use a curated stack of best-in-class, enterprise-grade tools — not because they're trendy, but because they're the right tool for the job. All open-standard. All auditable. All yours.

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OUR STACK

Every tool we use and why we chose it

We chose our tech stack based on three criteria: enterprise security, no vendor lock-in, and maximum flexibility for complex use cases.

n8n
ORCHESTRATION

Our primary workflow orchestration layer. n8n is self-hostable, has 400+ native integrations, and supports complex branching logic that SaaS tools can't match. Critically, it lets us run everything within your infrastructure — your data never leaves your perimeter.

WHY WE USE IT

Self-hostable · 400+ integrations · Visual workflow builder · No per-operation pricing

AntiGravity
AGENTIC AI FRAMEWORK

Our proprietary agentic framework for building multi-agent AI systems. AntiGravity lets multiple AI agents collaborate on complex tasks — with shared memory, tool access, and autonomous planning. It's the reason our automations go far beyond simple trigger-response patterns.

WHY WE USE IT

Multi-agent orchestration · Shared context memory · Autonomous task planning · Battle-tested in production

OpenClaw
DOCUMENT INTELLIGENCE

Our document processing engine. OpenClaw extracts structured data from unstructured documents — PDFs, invoices, contracts, emails — with high accuracy using a combination of OCR and LLM extraction.

WHY WE USE IT

Structured extraction from any document · High accuracy · API-native · GDPR compliant

Ollama
LOCAL LLM RUNTIME

For clients who require full data sovereignty, we deploy large language models locally using Ollama. This means the AI runs entirely within your infrastructure — no data ever leaves to external APIs.

WHY WE USE IT

Fully local · Data never leaves your servers · Enterprise-grade privacy · Supports all major open-source LLMs

LangChain
AI APPLICATION FRAMEWORK

We use LangChain for building advanced RAG (Retrieval-Augmented Generation) systems — powering knowledge base chatbots and document Q&A systems that answer from your specific company data.

WHY WE USE IT

RAG architecture · Vector store integration · Context-aware retrieval · Extensible

Docker
INFRASTRUCTURE

All our deployments are containerised with Docker, ensuring consistent, reproducible environments that run identically in development, staging, and production. Simplifies maintenance and scaling.

WHY WE USE IT

Portable · Consistent environments · Easy scaling · Simple rollbacks

PRINCIPLES

Our technology philosophy

No vendor lock-in

Everything we build is on open standards. You own every workflow, integration, and model — and can take it anywhere.

Security first

We deploy within your infrastructure when required. Your sensitive data never touches external APIs without explicit approval.

Right tool, right job

We don't have a preferred tool we force onto every client. We architect based on your specific needs, constraints, and existing stack.

Open source where possible

We prefer battle-tested open-source tools (n8n, LangChain, Ollama) over proprietary SaaS to maximise your control and minimise your costs.

Want to see our stack applied to your use case?

Book a free technical session and we'll walk you through exactly how we'd architect your AI system.

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