Custom software development
Internal tools, customer portals and platforms built around how your team works, not how an off-the-shelf product assumes it does.
How we build custom softwareCustom software and AI agents that keep working after we leave.
We design, build and run custom software, AI workflow automation, agentic systems and mobile apps for product and operations teams, then hand them over tested, documented and owned by you.
$ codepire run invoice-reconciler
planmatch this month’s invoices against the bank feedactread ledger, fetch statements, extract line itemsobserve14 mismatches, 3 above the approval thresholdask3 items sent to finance for sign-offdonereconciled, report filed to the finance drive
Our engineers have shipped for teams in
- United States
- United Kingdom
- UAE
- Singapore
- Southern Africa
What we build
Four kinds of work, one team. Most projects mix two of them: an AI workflow with a custom dashboard, an agent with a mobile front end.
AI workflow automation
Document intake, reconciliation, reporting and the other repetitive work between your systems, handled by AI with a person approving what matters.
How we automate workflows with AIAI agent development
Agents that plan, call your tools and check their own results, with logs you can read and limits you set.
How we build AI agentsMobile app development
iOS and Android apps, native or cross-platform, connected to the same backend and agents as the rest of your stack.
How we build mobile appsSelected work
All case studiesAI-drafted clinical documents
AI drafts the routine parts of clinical paperwork. A doctor edits and signs every one before it’s final.
Every AI draft signed off by a doctor
Student mobile app and API
A React Native app for grades, fees and messages, on an API we added to the existing platform.
81 documented API endpoints
Smart-locker cloud platform
Installer tooling, go-live controls, device telemetry and data retention for a UK maker of connected lockers.
A fifth of all commits in 8 months
How a project runs
Four stages. You can stop after any of them and keep everything we’ve made.
Map the work
A 1–2 week paid discovery. We sit with the people doing the job and decide what should be software, what should be AI and what should stay human.
Build the first loop
The smallest version that does real work on real data, in 4–6 weeks. You see it running in a live environment every week.
Put it in production
Monitoring, evaluations, access controls and runbooks go in before launch, not after the first incident.
Run and improve
We stay on to tune and extend it, or hand it to your team with documentation written for the next engineer.
Questions we get first
Something else? Ask us directly.
What’s the difference between an AI workflow and an AI agent?
A workflow follows steps you define and uses AI inside some of them, like reading an invoice. An agent decides its own next step toward a goal and calls tools until it’s done. Workflows are cheaper and more predictable; agents handle work that can’t be scripted. We recommend the simplest one that does the job.
How much does a custom software or AI project cost?
It depends on scope and integrations, so we don’t publish a rate card. Every project starts with a short paid discovery, quoted at a fixed price after a first call. At the end of discovery you get a fixed quote for the build, before you commit to it.
How long until something is in production?
A first production release usually takes 6–12 weeks from the end of discovery. Smaller workflow automations can ship in 2–4 weeks.
Who owns the code and the AI configuration?
You do. Code, infrastructure, prompts and evaluation sets live in your accounts from day one.
Can you connect to the systems we already use?
Yes. Our engineers have connected software to card gateways and bank APIs, a government funding body, messaging and SMS services, and IoT devices over MQTT. If it has an API, a database or an export, we can work with it.
How do you keep AI output reliable?
Every AI step has evaluation tests, logs and a defined fallback. Anything with financial, legal or customer impact goes to a person for approval until the error rate says it doesn’t need to.
Insights
All articles, 3 min read
AI workflow or AI agent? How to choose for a business process
Most processes don’t need an agent. Five questions that tell you which one you need, and what goes wrong when you pick the other.
, 6 min read
Double click, double refund: stopping duplicate transactions in a finance system
When the same cancellation runs twice, money moves twice. Why checks in application code don’t stop it, and the database lock that does.
, 6 min read
Adding a mobile app API to a web platform that’s been running for years
Your data and your rules already live in the web app. How to give a mobile app access to them without rewriting the platform or breaking the web side.