AI Solutions

Turn AI into something useful.

We help businesses move past experiments and put AI to work inside real products, processes and systems — with measurable value and predictable engineering.

Flow from business problem to AI, into business systems and a measurable outcome
We start from the business problem, then choose the smallest AI component that solves it well.
An AI engineering consultancy — not an AI agency. Every model, retrieval layer and agent we ship has to justify itself against a measurable outcome.

Capabilities

Where AI genuinely helps.

AI Assistants

Cut the time your team spends answering the same questions. Assistants work from your own processes and data, with clear boundaries and traceable answers.

RAG Applications

Stop knowledge from being locked in documents and tickets. Answers are drawn from your real sources and cite where they came from.

AI Agents

Remove manual steps from multi-system processes. Task-scoped agents act inside your systems, with human review where the stakes require it.

LLM Integration

Add language capabilities to a product you already run, without rebuilding the application or disrupting your roadmap.

Business Automation

Reduce back-office cost and turnaround time by automating document handling, classification and repetitive workflows.

Intelligent Search

Help people find the right answer instead of the right keyword, across content spread over many internal systems.

AI-powered Applications

Launch new products where AI is core to the value — engineered, tested and operated like any other production system.

Use cases

Where businesses use AI

The places we most often see AI pay for itself inside an existing business.

Customer Support

AI assistants that answer customer questions using company knowledge.

Document Processing

Extract, classify and validate information from invoices, contracts and forms.

Internal Knowledge

Let employees search company information using natural language.

Workflow Automation

Automate repetitive tasks across email, CRM, ERP and internal systems.

Intelligent Search

Turn fragmented business data into useful answers.

Data & Insights

Use AI to identify patterns and support better business decisions.

Example workflows

What an AI engagement looks like in practice.

Grounded question answering

  1. 01Ingest & chunk sources
  2. 02Embed into vector store
  3. 03Retrieve & rank
  4. 04Answer with citations

Document automation

  1. 01Receive document
  2. 02Extract structured data
  3. 03Validate against rules
  4. 04Push to business system

Assisted operations

  1. 01Detect trigger event
  2. 02Draft proposed action
  3. 03Human review
  4. 04Execute & log

Technology

The stack behind our AI work.

Models & APIs

  • LLM APIs
  • Embedding models
  • Speech & vision APIs

Retrieval

  • Vector databases
  • PostgreSQL + pgvector
  • Hybrid search

Application

  • Python
  • FastAPI
  • Node.js
  • React

Operations

  • Docker
  • Kubernetes
  • AWS
  • Evaluation & monitoring

Exploring an AI opportunity?

Tell us about the process or product you have in mind, and we'll assess where AI can create real value.