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Voxd

Custom AI Software

Turn a promising AI idea into software people can use.

A useful prototype is a beginning. A working business system needs the right experience, integrations, permissions and operational support around it. Voxd brings those pieces together, from the first product decision to a controlled launch.

The opportunity

Built for your process. Ready for real users.

Sometimes the tools on the market come close, but do not fit the workflow, commercial model or customer experience you need. Sometimes you have already proved an idea and now need to make it reliable enough for other people to use.

We design and build bespoke AI applications, internal tools and features for existing software. With decades of software experience behind our approach, we consider the whole product: what users are trying to achieve, how information moves, where AI adds value and what should remain deterministic.

Build an asset your business can put to work

Get the fit your workflow needs

Create an experience around your users and operations, rather than asking everyone to adapt to an awkward collection of tools and manual workarounds.

Prove the important assumptions early

Use a focused prototype to test the difficult part of the idea. Learn about usefulness, quality and operating cost before expanding the build.

Make the path to production clearer

Address access, integrations, testing and support as part of delivery. Give the system a practical foundation for launch and future improvement.

What we deliver

From an internal tool to a customer-facing product

01

Purpose-built business applications

Create a proposal tool, operational assistant or specialist workflow that brings information and actions together in one usable interface.

02

AI features for existing products

Add intelligent search, summarisation, recommendations or conversational help to software your users already know, with the surrounding product context preserved.

03

Prototype rescue and technical support

Review an experimental system, resolve architecture questions or help your development team move through a specific delivery challenge.

More ways we can help
  • Bespoke AI applications
  • Integration with existing platforms
  • Support for internal development teams
  • Architecture and technical oversight

Why Voxd

AI expertise backed by complete software delivery.

Voxd built the Waitrose festival supplier portal and its embedded AI concierge, bringing tasks, applications and live guidance into the same product. Our iGlobal work combines business-system integrations with a purpose-built proposal application.

We can take responsibility for a complete build or work alongside your developers on the AI, architecture or integration layer. You get a delivery partner who can connect the model’s capabilities to the surrounding software that makes them useful.

See the work behind the approach

All case studies

How we work

Build the right thing, then build it properly

  1. 01

    Define the product

    We agree the users, core workflow and business outcome. We separate what must work at launch from what can follow later.

  2. 02

    Test the uncertain parts

    We explore the AI behaviour, data availability and key integration challenges with representative examples and a focused prototype.

  3. 03

    Engineer the full experience

    We build the interface, application logic, integrations and controls, with tests that reflect the ways the system will be used.

  4. 04

    Launch with a plan

    We prepare deployment, monitoring and handover or ongoing support. User feedback and agreed measures inform the next stage of development.

Before you get started

Questions you may be considering

Can you take over an existing prototype?

Yes. We begin by reviewing the code, architecture, dependencies and known limitations, then agree what should be retained, improved or rebuilt.

Can you work alongside our developers?

Yes. We can provide specialist implementation, architecture support or technical oversight within an existing team and delivery process.

How do you choose the model and technology?

We compare the options against your tasks, data requirements, quality expectations and operating costs. The choice follows the product requirements.

Let’s make your idea concrete.

Tell us who the software is for, what it should help them do and what you have already explored. We will help define the next step.

Discuss your AI project