AI software development services, led by engineers.

AI software development services are builds where AI agents write most of the code and tests while engineers plan, review and approve the work. Buyers of custom AI software development usually want one of two things, and good AI software development companies do both. One is building ordinary software faster: a web app, a mobile app or a whole platform, with a lot of the code written by agents and checked by engineers. The other is building AI into a product, such as an assistant that answers your customers or search that understands what people mean.

Our AI software development services cover both, because the engineering is the same. A change starts as a written task, goes through a plan, a build, scripted checks, an AI review and a QA agent’s test, and ends with a person’s approval.

Why AI software development services cost a fraction of a traditional build

In a traditional build, most of the hours go into typing: writing the code, writing the tests and fixing what the first review found. In our factory, agents do that part. They write the change and its tests, a script checks the build, the types and the tests, and an AI reviewer reads every line before a person looks at it. Our engineers spend their hours where judgement counts: the architecture, the plan, the review of anything risky and the release.

The savings come from that shift. Builds come in faster and cheaper, and because the work is planned and checked the same way every time, we can quote a fixed price once the project is scoped. You’ll get the timeline and the price for yours after the discovery call.

What good AI software development solutions have in common

A method has to hold up once paying customers use the code. Good AI software development solutions start with a method you can read, and ours is published in full in The AI Software Factory. Five parts of it matter most to a buyer.

• People own the intent. Every change starts as a written task form, and a person marks it ready before an agent touches it.
• Scripts before any AI reviewer. The build, the types and the tests run first, so the reviewer spends its time on what a script can’t catch.
• Agents without the keys. Coding agents work in a sandbox, tests run on synthetic data, and the agents never get write access to the main code. An engineer merges.
• A record of every change. Labels, comments, commits and the cost of every run are kept, so each change traces back to the task and the person who approved it.
• Delivery you can measure. The book tracks thirteen delivery measures, from DORA’s five to the cost of each merged pull request, so speed and quality show up as numbers.

How to choose between AI software development companies

Ask what happens between “the agent wrote it” and “it’s in production”. Ask who approves a merge, and whether that person has a name. Ask what runs before an AI reviewer looks at a change, what happens when a check fails, and how many tries the agents get before a person steps in. Ask whether the agents can write to the main code, and how a change is traced back to the run that made it.

A company with a real method answers each of those in a sentence. Our answers: a named engineer approves every merge, scripted checks run first, a check that fails twice goes to a fix round and a person takes over after three rounds, the agents never hold a write token and every run leaves a record. You can check every answer against the book before you sign anything, and its free reference pack, MIT licensed, holds every file the factory runs on.

Custom AI software development for web, mobile and internal tools

Custom AI software development covers four kinds of build. Web apps and platforms that customers log in to and pay for. Mobile apps. Internal tools that replace the spreadsheets and email chains a business runs on. And integrations that tie several systems together through their APIs. We build all four in the same factory, so a small internal tool goes through the same stations as a product with paying customers.

An integration between two systems and a customer platform with a dozen screens go through the same five phases, and only the scope and the price change.

What our AI development services add to software you already run

Not every project starts from scratch. Our AI development services also add AI to products you already run: an assistant that answers customers inside your app, an agent that works through a queue of requests, search that finds what people mean, or features that read and sort your data. We start from your code and your data, and the new parts go through the same stations as everything else we build. Each AI feature begins with the same written task form as any other change.

AI features fail in ways ordinary code doesn’t, so they need tests a user would recognise, a reviewer that reads every change and a person who decides when they go live.

When to outsource AI software development, and when to keep it in-house

Outsourcing AI software development makes sense when you need a product, a feature or a platform built and you’d rather not build the factory to make it. Agents, checks, sandboxes and a review process take real work to set up, and the rollout plan in our book runs over 90 days before a team has all of it.

Keeping it in-house makes sense when the software is your core product and you’ll work on it every day for years. Many companies mix the two. They outsource the first build, or the hard parts, and keep the rest in-house. An hour voucher fits that well. If you’d like engineers assigned to your roadmap full time instead, you can hire a dedicated AI engineering team through us, fully managed from Chiang Mai and Bangkok.

What you get from an AI software development company after launch

A build ends with a release, and what happens next is your choice. On a maintenance subscription, we keep the software updated and running, and new features go through the factory the same way the first ones did. With a handover, you get the code and the documentation, and your team runs it from there.

Recurring work, such as new features and integrations every month, can run on a monthly subscription instead of a string of separate projects. And if the work you want to change is the admin around your software, the reports and the inbox, our AI automation agency does that.

How your AI software build starts

Every project starts with a discovery call of thirty minutes, with no commitment. You tell us what you want to build, who will use it and what it has to connect to. We scope the project, agree the model that fits it and send you a fixed price for the build, a subscription or both before anyone writes a line of code. From there, you see the software grow and decide when it goes live. Everything else happens in the factory, and every enquiry gets a reply from a real person within one business day.