AI Development
01Language model features that do real work in a product, rather than a demo nobody uses.
Problems this solves
- The AI demo impressed everyone, but it is not connected to your real data or your real workflow, so it stayed a demo.
- Your team spends hours a week on repetitive work that a properly scoped model call could handle safely.
- You want AI in the product, but your customer data cannot leave your own infrastructure.
Who this is for
- Product teams adding an AI feature to an application that already has users.
- Founders building an AI-first product from the beginning.
- Teams with a manual process that keeps growing faster than the headcount.
What you get
- A model integration behind a clean interface, with timeouts, retries, output validation and a hard cost ceiling.
- Retrieval over your own documents and data, so answers come from your content instead of from the model's memory.
- Agent workflows that run as background jobs and report what they did, including when they failed.
- Provider abstraction, so the model can be swapped for a cheaper or self-hosted one without touching the product.
What it ends with
- A working feature in production, with guardrails and a cost you can predict per month.
- A clear answer on which parts of your process should be automated and which should stay human.
Backend Development
02The part that has to hold up: data model, APIs, background jobs, and the deployment that keeps them running.
Problems this solves
- The product works fine until traffic, data volume or a second developer arrives.
- Nobody wants to change the database, because nobody is sure what will break.
- Integrations with partners or older systems are still done by hand, by one person who knows how.
Who this is for
- Companies whose backend has outgrown the design it started with.
- Teams that need an API for a mobile app, a partner or an integration.
- Products where correctness matters more than shipping features quickly.
What you get
- Schema design and migrations that can be run repeatedly without a panic.
- REST APIs documented well enough that another team can integrate without a call.
- Background processing for anything that should not block a user request.
- Containerised deployment with a reproducible build and a way back if a release goes wrong.
What it ends with
- A backend another engineer can pick up without a long handover.
- Deployments that are boring, which is the point.
Mobile Development
03Apps for Android and iOS, built by someone who has shipped to both stores and dealt with what they reject.
Problems this solves
- The app exists as a prototype but has never been through a store review.
- A cross-platform build is fighting the platform instead of using it.
- The project stalled on device integration: Bluetooth, camera, sensors or offline storage.
Who this is for
- Businesses that need an app alongside the product their customers already use.
- Teams adding a mobile client to a backend that is already in place.
- Founders who need one codebase covering both platforms.
What you get
- Android in Kotlin and iOS in Swift, or one React Native codebase where that is the honest choice.
- Offline-first storage and sync, for apps used where the connection is not reliable.
- Release pipelines: signed builds, versioning, and a working path to the stores.
- Device features, including Bluetooth, camera capture and document scanning.
What it ends with
- An app in the stores, or a build you can install and test with real users straight away.
- A native-or-cross-platform decision made from your feature list, not from fashion.
Full-Stack Product Development
04The whole product: the idea, the architecture, the interface, the backend, the deployment and the first release.
Problems this solves
- The idea is clear, but the path from it to a running product is not.
- The MVP was built by three people at different times and the pieces no longer fit together.
- You need a technical partner who can make decisions and then build, without a team to manage.
Who this is for
- Founders taking a product from an idea to its first real users.
- Small companies replacing a spreadsheet-and-email process with software.
- Businesses with an internal tool that nobody wants to be responsible for.
What you get
- A working first version, cut down to the smallest feature set that proves the idea.
- Architecture and infrastructure sized to the load you actually have, not to a hypothetical one.
- A web application plus the admin side that always turns out to be needed.
- Documentation and a handover that leaves you able to continue without me.
What it ends with
- Something you can put in front of users and improve from there.
- A codebase and a deployment you own, rather than one you rent.