What We Do
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 help you transform raw data into actionable insights and deliver scalable AI/ML solutions tailored to your business needs.
Our Expertise
Transforming ideas into scalable AI solutions with a focus on:
Computer Vision
Delivering systems that interpret and analyze visual data for automation and insights.
Medical Imaging
Developing diagnostic tools that assist healthcare professionals with AI-powered imaging analysis.
Transaction Classifiers
Building models that classify financial transactions for fraud detection and risk management.
Retrieval-Augmented Generation (RAG)
Combining AI and knowledge bases to generate accurate, context-aware responses.
Agent Workflow Design
Crafting intelligent agents to optimize and automate complex business workflows.
Our Process
We focus on understanding your business, building practical solutions, and delivering results through a structured approach:
- Audit: Understand the origins, storage, and structure of your data.
- Relate: Align data with business value and strategic goals.
- Deliver: Identify actionable information to guide decision-makers.
- Integrate: Merge automated decision-making with business workflows.
- Model: Build AI/ML solutions to extract meaningful insights from data.
- Automate: Enable iterative improvement using new data inputs.
- Build: Develop scalable, repeatable systems for reliability.
- Deploy: Create usable, testable components ready for production.
- Access: Provide APIs for seamless integration with your infrastructure.
Tech Talks
Explore our in-depth technical articles:
Docker Deep Dive
Explore the foundations of this transformative technology, essential for modern AI/ML solutions.
Simple Model Deployment
A cost-efficient strategy for deploying a machine learning model.
How does ChatGPT work?
A breakdown of the ChatGPT product from OpenAI.
Cost of ML
Understanding the costs associated with data, models, and outputs can support decision making and define project goals.
What Data Do I Need?
A checklist for making architectural change manageable and straightforward.
Machine Learning Design Patterns
Machine learning isn’t just about choosing the right model -- it’s about applying the right design pattern to a problem.
Leveraging AI for Organisational Intelligence
Large organisations often struggle to capture data about themselves. Email directories, phone lists, or messaging platforms provide opportunity for the right approach.
Security Risks in AI Systems with Public Access
Modern AI systems deployed for public use bring immense value but also introduce security risks which must be addressed.
Memory in Agentic AI
Agentic AI refers to AI systems that exhibit autonomy, decision-making capabilities, and memory persistence over interactions.
Introducing APICache
Engineers often work with APIs which are metered, restricted, or rate limited. To side-step these bottlenecks we built a lightweight, transparent client-side memory proxy.
Alignment: Semantics in the AI/ML era
What is Alignment? One of the most profound shifts is the new level of semantics which models introduce into the development process; a shift which has been termed Alignment in the industry.
Let's Build Something
We're here to help at any stage. Reach out using the form below: