AI and Machine Learning Consultancy

For 10 years we have transformed cutting-edge AI and machine learning technologies into scalable solutions for seed-stage startups, SMEs, and new product developments.

We can support you in discovery, exploration, feasibility, risk analysis and other non-functional or non-software based requirements of these projects.

Our expertise in computer vision, text, databases and analytics has delivered multiple projects for a diverse range of clients; from large banks to government bodies to seed-stage startups at incubators.

Your ability to progress with working, testable systems will match your goals.

Discover more about our proven process and get in touch to discuss how we can bring your project to life.

Our Process

  • Feasibility
  • Pipelines
  • Deployment
  • Audit origins, storage, and structure of data
  • Relate data to business value
  • Deliver information to sense-makers
  • Integrate automated decision making into your business
  • Model solutions which extract information from data
  • Automate improvement of the process with new data
  • Build scalable, repeatable systems
  • Deploy usable, testable, functional components
  • Access with modern API integration

Contact Us

We're here to help at any stage.

We aim to respond to all inquiries within 48 hours.

Tech Talks

Our Tech Talks are a growing knowledge base of articles based on discussions with companies over the years.

Docker Deep Dive

Docker is a foundational technology for AI/ML and cloud in general, yet many developers don't "get it" and certainly recieve no training. In this article we explore the foundations of this transformative technology.

Simple Model Deployment

Model deployment is often hidden behind expensive cloud services, or subscription APIs, but did you know you can deploy models at a fraction of the cost? In this article we go through the steps of cheap, robust deployment.

How does ChatGPT work?

Understanding of AI products is essential. In this article, I'll breakdown the ChatGPT product from OpenAI.

Cost of ML

Machine learning is a well-defined problem with specific costs and roles. In this article, we break down the machine learning process using the equation **F(X) = Y** to relate each component to costs and expertise.