AI Agents & Automation
Agentic systems that execute real work inside your operations, with human oversight where it matters.
Learn moreSoftware that thinks.
We build AI agents, LLM applications, and the custom platforms they run on — with evaluation, guardrails and audit trails from the first commit.
The companies we build for
What we do
Every discipline. One team. No handoffs.
We are AI-first, not AI-only. A decade of shipping production software is what makes our AI work dependable — intelligence is only useful when the engineering underneath it holds.
AI Applications
Copilots, document intelligence, retrieval systems, and customer-facing AI features that hold up in production.
Learn moreAI Strategy & Readiness
Use-case selection, data readiness, and a roadmap that survives contact with production.
Learn moreCustom Software Development
Bespoke platforms, SaaS products, portals, and the integrations between them.
Learn moreWeb Development
High-performance web platforms built for speed, search, and AI visibility.
Learn moreMobile Apps
Native and cross-platform apps for iOS and Android, engineered for engagement and built to evolve.
Learn moreProof
Proof, not promises.
ERP + AI
Financial reporting cut from weeks to hours.
An AI-enhanced ERP unifying finance, inventory, sales and procurement for a distributor running disconnected legacy systems.
Web + AI SEO
50% organic growth in 90 days.
A complete rebuild on modern architecture, with content engineered for AI extraction and citation.
Mobile + AI
Personalised offers, 3× the redemption rate.
Native iOS and Android apps with real-time points and an AI recommendation engine.
Method
From discovery to live — visible progress every two weeks.
01
Discover
Workshops on objectives, users, systems and constraints. Roadmap before any code.
02
Design
Wireframes and prototypes validated with real users. Every screen approved first.
03
Build
Two-week sprints, working software at every demo.
04
Verify
Functional, security and accessibility testing. For AI features, evaluation suites measured against defined thresholds.
05
Run
Monitored deployment, analytics, and data-driven iteration.
Evaluation-first AI delivery — we define how success is measured before we build, so "it works" is a number, not an opinion.
Ownership
You own everything we build.
Your IP, entirely
Code, prompts, models and infrastructure transfer to you when the engagement ends. No lock-in, no licence fees, no dependency on us.
Your data stays yours
Client data is never used to train models. Retention and deletion happen on your terms, agreed before we start.
Evaluated before it ships
Every AI feature is measured against defined accuracy thresholds before it reaches a user. Uncertain cases route to a person.
One accountable team
Strategy, engineering and design in one place. Nothing subcontracted, nobody to hand you off to.
Answers
Questions we get asked.
How much does it cost to build an AI agent for a business?
Most agent builds land between a focused three-month engagement and a six-month one, depending on how many systems it has to touch. We usually start with a two-to-four week scoping engagement that produces a fixed roadmap, so nobody commits to a large number before the problem is properly defined.
Should we build AI in-house or hire an agency?
If you already have ML engineers and the use case is core to your product, build it. Bring in a partner when the work is specialised but not permanent — evaluation infrastructure, agent orchestration, or a first production deployment your team hasn't done before.
What stops an AI agent from hallucinating in production?
Evaluation harnesses that measure output against defined thresholds before launch, confidence scoring that routes uncertain cases to a person, and full audit trails on every action. The fix is almost never a better model — it's the engineering around it.
How long does a custom software project take?
A focused build is typically three to six months from discovery to live, with working software demonstrated every two weeks. Larger platform work runs longer, but the first usable version should always arrive early.