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AI-native software consultancy

Launch early enough to matter.

Production-grade software for teams who can't afford to get it wrong. Prove value. De-risk the bet. Hit the deadline.

Embedded engineeringEnd-to-end deliveryProduction-grade AI
Work With UsWhat we do

Services

What we do.

All services

One model, forward deployed engineering, in three shapes.

01

Discovery

Get clear before you commit.

A short, embedded engagement that turns a fuzzy initiative into a decision you can defend: what to build, what it will cost, and where the risk sits. A grounded recommendation, not a slide deck.

Explore02

Build

From problem to production.

End-to-end delivery of production-grade software you own: architecture, build, reliability, and a clean handover. No bloated team, no fourteen-month plan. You see working software every week.

Explore03

AI Enablement

Make your team AI-native.

An embedded enabling team that transfers AI capability into your engineers and operators, then steps out. An AI-native way of shipping for engineering, automation of the dull work for operations.

Explore

Case Studies

Proof over promises.

All case studies
The AI-Enablement Process
01, LatestEnterprise digital services · UK & Ireland

Driving AI adoption inside a large enterprise

A large global enterprise, under NDA, wanted its teams building with AI by default — without hiring a permanent team or handing the work to a vendor. We embedded as an enabling team, built that capability inside their own teams, and stepped out once it stuck.

AI Enablement
Read the case study
02Software NI

Signals: feedback that shows the trend, not the snapshot

→03Theatre operations (SaaS) · London West End, UK

Defusing a £250K risk in West End theatre operations

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Engagements

How we work

You have something to build and a deadline that matters. We understand the problem first, then give you an honest recommendation.

011 conversation

Understand

Get clear on the problem before committing to a solution.

  • What success actually looks like
  • Which constraints are real and which are assumed
  • Where the biggest risks sit
  • Decision context for execs or investors
021 proposal

Shape

An honest recommendation on the best way forward.

  • What to prioritise and what to phase
  • What to buy instead of build
  • Where the hard problems actually are
  • A plan: scope, timeline, cost, tradeoffs
034–12+ weeks

Deliver

We build it, stand behind it, and own it working.

  • A live production system
  • Monitoring, alerts, and runbooks in place
  • Clear ownership and operating boundaries
  • A long-term partner, or a clean handover

Who you work with

Founder-led delivery

Hypership is led by builders who’ve shipped under real pressure - from early-stage startups to large enterprises. We stay close to the work and take responsibility for the outcomes: architecture, reliability, and delivery that holds up.

Kyle DavidsonLinkedIn

Kyle Davidson

Co-founder

Kyle is a hands-on builder with experience across product, engineering, and AI delivery. He’s spent the last decade shipping production software for startups, enterprises, and the public sector - often in situations where timelines were tight and decisions carried real consequence. Previously Technical Director for AI at Kainos (FTSE 250)

Shannon HolgateLinkedIn

Shannon Holgate

Co-founder

Shannon specialises in building scalable data platforms and making organisations AI-ready. He has built and led systems operating at petabyte scale, and now helps businesses modernise their data foundations and ship AI-driven capabilities with confidence. Previously Director of Software Engineering at Magnite.

Let's talk

Tell us what you're building.

One conversation. An honest take. No commitment until it makes sense.

Start the conversation

Based in Belfast, working with teams globally