We’re an applied AI agency

Foundations - getting your data ready

AI thrives on clear instructions and lots (and lots) of data. As a company you need to explicitly understand what it is that you do and what data you use to decide what to do next.

For example:

“To decide what action to take in step X of process Y we need to know the value of Z, which we compare to K and then decide based on whether K is bigger or smaller than Z.”

Invest in understanding you data flows and storing data in ways that it can be effectively reused is a key first step.

Platform selection

We will help you select the right artificial intelligence platforms to power your solution. The landscape is rapidly changing and it’s important to select the right platform, considerations include cost, flexibility, security, scalability and reliability.

This includes the selection of natural language generation (NLG), natural language processing (NLP) and knowledge graph platforms.

Rapid prototyping - prove the concept

Do, measure, learn.

Our process is focused on implementing prototypes early so we can understand how your users, your data and the application interact.

We use the information generated by real world usage to keep evolve our approach and guide feature selection.

Find out more about our approach in our article on Data-driven vs model-driven AI and why we need an AI-specific software development paradigm.

Scaling - measure the impact

Once we’ve got proven results we’ll work with you to deliver a full roll-out. This typically involves deeper integrations with the rest of your technology stack and driving production scale traffic through the platform.

See our latest Work or read more about our approach in Thinking.