AI capabilities

AI is becoming the interface to software.

Customers and teams increasingly expect to ask, not search; to delegate, not click. We build AI that is grounded in your own documents and data, connected to your systems, and deployed where your privacy requirements need it.

Generative AI

LLM-powered applications and intelligent assistants.

RAG

Connect AI models to private company knowledge and documents.

AI Automation

Automate repetitive business workflows end to end.

Local AI

Privacy-focused deployments using local and open models.

AI Search

Semantic, intelligent search across business data.

AI Agents

AI systems that reason across tools and workflows.

Document Intelligence

Extract, understand and interact with information in documents.

AI Integration

Add AI capabilities to existing applications and business systems.

How we build AI

G

Grounded

Answers come from your data, with sources, not from a model's guess.

C

Connected

AI that can read from and act on your real systems through APIs.

C

Controlled

Cloud, private or local deployment — chosen by your data requirements.

M

Measured

Evaluated on real tasks before it reaches users.

Where it fits

Typical patterns we design and build. Every implementation is scoped to your data and systems.

Ask your documents

An assistant that answers staff questions from policies, manuals and contracts — with citations.

Inbox to workflow

Incoming email, forms or WhatsApp messages classified, extracted and routed automatically.

Report understanding

Structured data pulled out of invoices, reports and records into your systems.

Customer-facing assistant

A product assistant that knows your catalogue, pricing rules and support history.

Technology

A deliberate, modern stack.

We choose technology for the product, not the other way round. These are the tools we build and ship with.

01

Frontend

  • Flutter
  • React
  • HTML / CSS / JavaScript
02

Backend

  • Node.js
  • Python
  • REST APIs
03

Database

  • Firebase
  • Cloud Firestore
  • PostgreSQL
  • Cloud databases
04

Cloud

  • AWS
  • Firebase
  • Cloud infrastructure
05

AI

  • LLMs
  • RAG
  • Embeddings
  • Vector databases
  • Local AI
  • AI agents
06

DevOps

  • GitHub
  • GitHub Actions
  • Docker
  • CI/CD
  • Cloud deployment

Where could AI help your team?

Bring us a workflow. We'll tell you honestly whether AI is the right tool for it.