About LACB Grey

Complex business problems. Practical technology.

LACB Grey was established in 2020 to help businesses solve complex problems with practical technology. Today, the company works across AI adoption, software development, systems integration, solution architecture and consulting.

Useful technology has to fit the real business around it.
01 / Why the combination matters

More than an AI feature

Useful AI rarely works on its own.

It has to fit the systems, processes, information and people already in the business.

AI capability+Engineering experience+Business context

LACB Grey brings newer AI capabilities together with the engineering experience needed to make them useful in day-to-day work.

02 / Founder

Business questions meet technical systems

Work on both sides of the problem.

Dawid is a senior software developer and solution architect with many years of experience designing, building and connecting business systems.

His background covers enterprise software, system architecture, integrations, technical guidance and the practical use of AI.

That breadth lets him understand what the business is trying to achieve, then get close enough to the technology to design and build something that works.

Understand the outcome. Understand the system. Build what connects the two.

03 / The disciplines

Different lenses on the same problem

The disciplines behind Operational Truth.

01 / Consulting

Start with a conversation.

We listen to what is happening, help make the problem clearer and guide the work towards a practical first result. You do not need a polished brief or a technology choice before we begin.

02 / Solution architecture

See how the whole system fits together.

Map the applications, information, infrastructure, identity, security, processes and people around the problem, so the solution fits the business instead of creating a new island.

03 / Software development

Build the missing piece.

Create software that works with the systems and people already in place, from small operational tools to integrated enterprise applications.

04 / Applied AI

Use AI where it makes a real difference.

Work out where AI helps, where it should not be used and what evidence, controls and human oversight need to stay visible.

04 / How the work feels

Practical from the first step

Technology should adapt to people.

01

Do not force people to work around the technology.

02

Begin with a clear first outcome and a working result.

03

Let trust grow through what has actually been delivered.

04

Take an honest look at what is worth doing next.