Tech stack
What we build
Our services
Software, mobile and cloud engineering from one team. AI goes in where it earns its place and stays out where it does not.
Shipped and running
Proof of work
Systems we built that are live in production and in use by client teams.
“What would have taken us 4 months with a new hire, they shipped in 21 days. Production-ready, properly tested.”
Selected work
Case studies
From brief to production: how we scope, build and ship systems that stay running after launch.
How we work
Our process
Five phases from scoping to production, with a working demo at every gate.
Ways to engage
Engagement models
Start with a discovery call. Move to a scoped build or a monthly retainer when the work justifies it.
Discovery call
CallFor teams still working out what to build, or where AI fits.
Monthly retainer
MonthlyFor multi-workstream or evolving roadmaps.
From our clients
Client feedback
What it is like to work with us, in a client’s own words.
“What would have taken us 4 months with a new hire, they shipped in 21 days. Production-ready, properly tested.”
“Replace with a real client testimonial before launch.”
“Replace with a real client testimonial before launch.”
From the blog
Field notes
Practical write-ups on building, shipping and running AI systems in production.
Questions
Common questions
The questions we get asked most, answered directly.
How do you price engagements?
We scope the work before it starts. After a short call we send a written SOW (statement of work) with deliverables, milestones and an estimate of effort. Builds are billed on time and materials against that scope, and ongoing work runs on a monthly retainer. If the scope changes, we agree a written change order before the extra work starts, so there are no surprise invoices.
What if we already have engineers?
Most of our builds are with teams that already have engineers. We bring the AI and agent expertise, scope alongside your team, and transfer ownership early.
How long does a typical build take?
A first agent in production usually takes 4-8 weeks, and a multi-agent workflow 8-12. Every build starts with discovery, so the timeline we quote is based on your stack and your scope.
Are you locked into a specific AI framework or stack?
No. We pick tools based on your infrastructure, your team's skills, and what stays maintainable after handoff. We're not resellers, so we have no incentive to push any particular vendor.
Do you sign NDAs / DPAs?
Yes. Every engagement starts with an MSA and SOW. NDAs before scoping on request, DPAs for anything touching customer data.
What if the recommendations don't fit our budget?
Then you don't build them. Recommendations come ranked by return and effort, so you can take the cheapest one, take none, or hand the list to your own engineers.
Can we hire you for just consulting, no build?
Yes. We take on strategy, architecture reviews, build-vs-buy calls and AI readiness questions, billed for the time spent against a written scope, with no pressure to turn the work into a build. Sometimes our advice is not to build at all.
Our guarantee
With ClearShip, the deliverable and its acceptance criteria are signed before work starts. If we miss the spec, you get a full refund.
What we build on
Trusted Partners
We build on established technology providers, so every project starts on a reliable foundation.