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About

An engineer-led studio.
A human approach.

We turn ambitious ideas into dependable AI systems. Direct collaboration, thoughtful engineering, and ownership that stays with you.

Company
ForgeQubit, registered in the United Kingdom
Works with
Service businesses, operations teams, founders and product teams
Regions
UK, USA, Europe, Middle East (remote)
Engagements
Fixed-scope proposals, weekly demos, deliverables assigned to you on payment

Who you deal with

The engineers who scope your project are the ones who build it. From the first call to handover you have one named engineer as your point of contact, who is accountable for the scope, the weekly demos and the handover checklist.

We are model-agnostic and platform-agnostic. Language models, telephony providers and workflow tools are chosen per project for quality, latency and cost, and set up in accounts you control.

We are UK-registered and offer remote delivery across the UK, USA, Europe and Middle East. Meeting windows and handover arrangements are agreed around your team.

What you can hold us toIn every proposal, in writing
  • A written scope and price before any invoice.
  • A working demo every week, tested against your examples.
  • A defined route to a person for every agent.
  • Accounts, code and documentation handed over in your name.

Commitments

What we hold ourselves to.

01

We tell you when AI is the wrong tool

Some problems are a process problem or a staffing problem. If discovery shows that, we say so and stop before a proposal.

02

Everything is measured against a definition you agreed

Before launch we write down the metric, the baseline and the measurement period. Results are reported against that, not against a headline.

03

Your accounts, your code, your data

Third-party services are set up in your name. Deliverables are assigned to you on payment. Nothing is designed to lock you in.

04

People stay in the loop

Every agent has limits and a route to a person. Automations send uncertain cases to a named approver rather than guessing.

Engineering approach

How systems are integrated, tested, monitored and handed over.

The unglamorous work is what makes an AI system dependable. It is written into every scope.

Integrated, not bolted on

Agents read from and write to your CRM, calendar and helpdesk through their APIs, so records stay in the tools your team already uses.

Tested against real scenarios

Before launch, every build is run against a set of real enquiries and edge cases collected with you, and the results are shared.

Monitored after launch

Conversation logs, failure alerts and usage dashboards are part of every delivery, so problems are visible and costs are predictable.

Handed over properly

Accounts are in your name, code is in your repositories, and documentation explains how to change things without us.

How a project runs

Discover, scope, build, launch and support.

  1. 01

    Discover

    A short call, then a look at your current process, tools and volumes. We tell you plainly if AI is not the right fix.

    You
    Share the problem, the tools involved and who uses them.
    We
    Write up what we heard and propose an approach.
    Deliverable
    A one-page summary you can share internally.
  2. 02

    Scope

    A written proposal with fixed scope, defined outcomes, price and an estimate of ongoing third-party costs.

    You
    Confirm the scope and provide access to the systems involved.
    We
    Set up accounts in your name and plan the build in weekly milestones.
    Deliverable
    Signed proposal, project plan, access checklist.
  3. 03

    Build

    Weekly demos of the working system, tested against real scenarios you help us collect.

    You
    Review each demo and supply real examples for testing.
    We
    Build, integrate, test and adjust based on what you see.
    Deliverable
    A working system on test numbers or staging, with a test log.
  4. 04

    Launch & Support

    A monitored launch, documentation and handover, then optional support for changes and maintenance.

    You
    Approve go-live and nominate who owns the system internally.
    We
    Monitor, tune, document, and hand over every credential.
    Deliverable
    Live system, runbook, admin access, support plan.

See worked examples of how this plays out for reception, voice and automation projects.

Next step

Start with a short conversation.

Describe the problem in a few sentences. We reply by email to set up a call, and if we are not the right fit we will say so.

Let’s talk All solutions