bCubex

Discovery before any code is written

bCubex is a technology business that takes the data a company already holds, works out what it means for decisions, and then builds artificial intelligence to automate the decisions that can be automated. The work begins with discovery, a stage in which the team looks for the real problem a client faces before anything is built. The company says it asks which parts of a team's work cost the most time, and whether AI could help with them, and it gives an honest view of that question, along with an outline of how it would approach the problem.

Once the problem is clear, the firm turns to the client's data. It says its analysis shows what is actually driving the numbers and what to change, so that the answers come from the data rather than from a dashboard that only displays it. This is the step that leads to the decisions the firm later automates.

Decision analytics and AI agents on AWS

The second area of work is decision analytics, the analysis of client data to explain the drivers behind results. The third is generative AI and agents. The company builds these on Amazon Web Services, using the Bedrock service to select the model best suited to each task. The firm describes its approach as model-neutral, meaning a client is not tied to a single AI provider, and it says it chooses the right model for each problem while keeping the underlying platform on AWS.

Software engineering sits alongside these, covering backend development and DevOps work so that the systems behind the analytics and agents run reliably. The company says its engineers bring business analysis and financial modelling skills to the work, so that the technical solution is judged against the commercial question it is meant to answer.

Who does the work

The company states that clients work directly with two senior engineers rather than through account managers or junior staff. It describes this as a deliberate choice, so that the people who understand the problem are also the people who build the solution. Its past clients include young companies, individual founders and established firms. Its website includes a case study about an Australian construction startup, where the firm improved the startup's backend, and it says the client was pleased with the communication and responsiveness of the team.