Build Smarter Products With AI

We design and develop intelligent digital products that use AI to automate processes, enhance customer experiences and turn complex business challenges into scalable solutions.

Start Your AI Project Explore Our Work
  • 18 AI features shipped to production
  • 62% average reduction in manual handling
  • 8 wks typical proof of concept to pilot
OVERVIEW

What this actually involves

The useful question is not which model to use. It is which repetitive, judgement-heavy task is costing your team hours every week, and whether a machine can do the first 80% of it reliably enough to be worth checking. We start there.

Product builds with AI features woven in from day one, not bolted on after.

  • Focused on real problems

    Every solution starts with a measurable business need.

  • Measured performance

    Test accuracy and results throughout development.

  • Human oversight

    Keep people involved where decisions require review.

  • Cost-conscious AI

    Optimise models, usage and infrastructure to control costs.

PROBLEMS WE SOLVE

The things that usually go wrong

01

Repetitive Manual Work

Automate routine classification, processing and routing while escalating complex cases to your team.

02

Information Locked in Documents

Make company knowledge searchable and accessible through AI-powered assistants.

03

AI Pilots That Never Launch

Build solutions using real data and systems from the beginning, making the transition to production easier.

04

No Clear Way to Measure AI

Track accuracy, performance and results with structured testing and monitoring.

CAPABILITIES

What we deliver

01

AI opportunity assessment

Where a model genuinely helps, where it does not, and what each is worth.

02

Retrieval & knowledge systems

Vector search over your own documents, with citations and freshness controls.

03

Workflow automation

Multi-step processes with review points, retries and a full audit trail.

04

Document & data extraction

Turning invoices, forms and contracts into structured records your systems can use.

05

Conversational interfaces

Assistants scoped to a task, with guardrails and a clear handover to a person.

06

Evaluation & monitoring

Test sets, accuracy tracking and drift alerts once it is live.

07

Model integration

Hosted and self-hosted models, routed by cost and by how hard the request is.

08

Responsible deployment

Privacy review, data retention rules and human oversight where decisions carry weight.

TECHNOLOGY & PLATFORMS

What we build with

Chosen per project, not per habit — the stack follows the problem.

CMS

  • Wordpress
  • Shopify
  • Squarespace
  • Woocommerce

Languages

  • React
  • Node

Models

  • Claude
  • GPT
  • Llama
  • open-weight fine-tunes

Retrieval

  • pgvector
  • Pinecone
  • Elasticsearch

Application

  • Python
  • FastAPI
  • Node
  • TypeScript

Evaluation

  • Custom eval harnesses
  • LangSmith
  • Weights & Biases
HOW WE WORK

From first call to handover, no surprises

  1. We find the task worth automating

    Which job is eating real hours, and whether a model can realistically do most of it.

  2. We agree what good enough means

    A test set and a pass mark, written down before any building starts. If it cannot hit the mark you find out cheaply.

  3. We build it against your real data

    Working with your actual systems and logins from the start, so there is no rewrite before going live.

  4. We pilot it with a small group

    A handful of real users, with a person checking the output and a record of every decision it made.

  5. We keep it honest once it is live

    Accuracy tracked, a warning when it slips, and running costs watched month to month.

SELECTED WORK

Results, not screenshots

INDUSTRIES WE SERVE

Built around how your industry actually operates

Medical & Healthcare Reliable lines when patients are waiting Automotive Service bay to showroom, one connected system Transportation & Logistics Dispatch that never drops the call
WHY TELCO

Four reasons clients stay

01

One accountable team

Strategy, design, engineering and support in one place. Nothing is handed to a third party.

02

Working software early

You see something real in weeks. Progress is demonstrated, not described.

03

Built to be handed over

Documented, tested and yours. No lock-in to us as a vendor.

04

Here since 1983

Four decades of keeping systems running, applied to the software layer too.

ENGAGEMENT MODELS

Work with us the way that fits

Start with one and move between them as the work changes.

Fixed Project

A defined scope with a fixed price

  • Fixed timeline
  • Milestone billing
  • Agreed deliverables
  • Warranty period
Talk it through
Most popular

MVP Sprint

Proving an idea before you over-invest

  • 6–10 weeks
  • Working product
  • User testing included
  • Go or no-go at the end
Talk it through

Dedicated Team

Ongoing work with shifting priorities

  • Monthly rate
  • Your roadmap
  • Scales up or down
  • Direct access to the team
Talk it through

Ongoing Support

Keeping what you have fast and safe

  • Monitoring
  • Patching and updates
  • SLA response times
  • Small changes included
Talk it through
FREQUENTLY ASKED

AI-Powered Product Development — common questions

An MVP sprint runs six to ten weeks from kickoff to a live product. A full build is usually three to six months depending on integrations. Maintenance retainers are ongoing. We give a range at proposal stage and a fixed date once scope is agreed — and if something slips, you hear it in that week’s update rather than at the end.

Fixed price for defined scope, a fixed fee for an MVP sprint, and a monthly rate for dedicated teams and support retainers. We do not bill hourly for delivery work — it rewards the wrong thing. Estimates come with the assumptions written down, so when something changes you can see exactly what moved.

You do, in full, from the first commit. Repositories are in your organisation, infrastructure is in your accounts, and design files are shared with your team. There is no license to renew and no dependency on us to keep operating. If you want to take the work in-house, we will help with the handover.

Two weeks of hypercare is included with every build — the team that shipped it stays on call for bugs and adjustments. After that most clients move to a support retainer covering monitoring, updates and a monthly allowance for changes. Some take it in-house instead, which is a perfectly good outcome.

Yes, and often that is the better arrangement. We can embed alongside your developers, take one workstream while they take another, or pick up an existing codebase. For inherited code we start with a short audit so both sides know what we are dealing with before committing to a timeline.

Small changes are absorbed. Anything that moves the date or the price gets written up as a change note with both impacts stated, and nothing starts until you approve it. The point is that there are no surprises at invoicing — you should always know what a decision costs before you make it.

For anything beyond a small, well-defined piece, yes. A paid discovery phase of one to two weeks produces a scope, an architecture outline and a costed plan — which you own and are free to take to another supplier. Quoting a complex build without it produces a number that is wrong in one direction or the other.

We agree the success measures before starting and instrument for them during the build, so the data exists from launch day rather than being retrofitted. That might be conversion rate, time saved per week, support ticket volume or crash-free sessions. If a number cannot be named up front, that is usually a sign the scope is not clear yet.

Still not sure what you need? Talk it through with an engineer. (480) 945-1963
READY WHEN YOU ARE

Tell us which task is eating your team's week

Tell us which task is eating your team's week

Start a Project (480) 945-1963
WhatsApp