Dexels advises, architects and builds AI-enabled enterprise systems. We connect models to applications, data, databases, devices and operations. Every engagement is led by a senior engineer who remains hands-on from the first decision through delivery.
Start with a decision, a difficult problem or a system to build.
Dexels can review one critical decision, provide continuing technical leadership or take responsibility for a complete delivery. In every case, clients work directly with the senior engineer responsible for the result.
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Engineering Review
An independent assessment of an architecture decision, AI use case, database, integration or production risk. Dexels delivers a clear recommendation, the reasoning behind it and a practical course of action.
A concentrated engagement for a database, performance, integration, recovery or system-modernisation problem. Dexels investigates the cause, defines the remedy and works on the critical implementation where required.
A senior Dexels engineer works with the client one or two days each week. This is suited to organisations that need recurring architecture leadership, difficult technical decisions, implementation review or direct support for a CTO or engineering lead.
Typical commitment: 1 or 2 days a week, initially for 3 months
A fixed amount of time from a named senior engineer is reserved for one client each month. The capacity can be used for difficult implementation, system modernisation, database work, integration and decisions that require continuity.
Typical commitment: agreed monthly capacity, reviewed every 3 months
Dexels takes responsibility for the architecture and agreed implementation of a system. Senior engineers lead the work, build critical components and involve additional specialists only when the scope requires them.
An independent examination of a platform, source code, databases, operations and engineering organisation. Intended for boards, investors and acquirers that need to understand technical quality, risk and future investment.
Experienced engineering matters most when a decision is difficult to reverse.
The cost of an architecture decision is rarely visible on the day it is made. It appears later in delayed delivery, unreliable integrations, data problems and systems that cannot change safely. Dexels combines experienced judgement with hands-on engineering to reduce that risk.
Capabilities
What Dexels engineers.
The visible AI feature is only one part of the system. Dexels engineers the foundations beneath it. Projects often span more than one area.
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Enterprise AI consultancy and engineering
Enterprise AI means AI built into an organisation's existing applications, data and operating processes. We decide where it is worth using, design how it should work and build it.
We design and build the applications, services and data platforms that a business depends on, and we change long-lived systems in stages rather than replacing them by default.
We build systems where devices, radio and software have to agree with each other in a physical operating environment, from event sites to connected health at home.
Four layers: sources and systems of record, governed access and retrieval, models and business rules, then the applications and human decisions on top. Security, evaluation, monitoring, cost and ownership apply across every layer, not to one of them.
What an enterprise AI service actually consists of
Selected experience
Systems that people depend on every day.
A national sports platform, live event operations under fixed deadlines, and RFID at festival scale.
The engineers who design the solution also build it.
Dexels does not separate senior advice from delivery. The engineer who examines the problem remains technically involved, makes the important decisions and is accountable for the work that follows.
The engineers have worked in C, Java, Oracle, MongoDB, distributed systems, connected devices and mobile applications since 2000.