Artificial Intelligence

Put AI to work, with clear goals and honest limits

We help you find where AI creates value, then build generative AI applications, assistants, and automation that your teams use.

Review your AI readiness

When this is the right help

Teams being asked about AI that want practical solutions, assistants, and automation, but do not yet know where AI creates value for them.

We are being asked about AI and do not know where to start.

We want to add AI features to our product or processes.

How we work

Put AI to work in the way your teams and customers actually work.

We start from the process or decision AI should improve, test whether it helps against a simple baseline, and build it into your existing tools. If a simpler approach is enough, we say so.

How we approach AI work

  • AI Strategy & Readiness

    Identify where AI creates value for you, and what must be in place first.

  • Generative AI Solutions

    Practical generative AI built into the way your teams work.

  • AI-Powered Applications & Assistants

    AI features, knowledge assistants, and search built into your applications.

  • Intelligent Automation

    Automate repetitive business processes with AI, with people kept in the loop.

What you get

  • An AI readiness review and prioritized use cases
  • An evaluated prototype with clear success measures
  • A production solution with monitoring
  • Documentation of how data is used, and the limits and risks of the solution

Technology we use for this

Languages

Strongly typed and general-purpose languages for products, services, and data work.

  • TypeScript
  • JavaScript
  • Python
  • Java
  • Kotlin
  • C#
  • Go
  • SQL

Web, mobile & APIs

Frameworks for interfaces, services, and the APIs that connect them.

  • React
  • Next.js
  • Angular
  • Vue.js
  • Node.js
  • NestJS
  • Spring Boot
  • ASP.NET Core
  • FastAPI
  • Django
  • GraphQL
  • REST & gRPC
  • React Native
  • Flutter

Cloud & DevOps

Platforms and automation for reliable, repeatable delivery.

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
  • GitLab CI
  • Azure DevOps
  • Argo CD

AI & machine learning

From classic ML to generative AI, taken through to production.

  • PyTorch
  • TensorFlow
  • scikit-learn
  • Hugging Face
  • MLflow
  • LangChain
  • OpenAI API
  • Anthropic Claude
  • Google Gemini
  • pgvector & Pinecone
  • RAG & AI agents

Tell us what you are trying to achieve. We will help you work out the right way to get there.

Get in touch