AI Integration Services

AI integration means building models such as OpenAI and Claude into a new or existing app or web product, so it can draft content, answer questions from the company's own data, extract and classify information, or automate routine work. It is for product owners and businesses that want an AI feature their users rely on, with cost, response time and safety handled before launch. CompletApp is a Budapest-based product studio that delivers it in Hungarian and English, to a fixed scope and a fixed price.

The test we hold every feature to is simple: does it make the product better for the person using it. That is why the model goes into the real logic of your product rather than being bolted on for show.

An AI add-on that impresses in a demo and gathers dust in production is a gimmick. We build the other kind. By treating the model as one well-placed component inside thoughtful product logic, we deliver AI that is accurate enough to trust, fast enough to enjoy, and cheap enough to run at scale.

We build AI into the moments where it earns its place: assistants that answer from your own documents and data, generators that produce real, on-brand content, classifiers and extractors that turn messy input into structured data, and workflows that quietly automate the busywork. Three live products show the range. We wired OpenAI into the copy generation of Copywise, an AI copy generator now live as Persuva.ai. We set up the AI environment that the writing process of RankSpiral, an AI SEO content platform, runs on. And we built the AI-driven signal logic of PipTrend, a trading indicator for TradingView.

Every integration starts from the outcome: what should the user be able to do that they could not before. We design the feature around that, then choose the model, the prompts, and the supporting code to deliver it. If the product around the feature does not exist yet, we build that too, as web app development.

We work with both OpenAI and Claude and pick the right model for each job, balancing quality, speed, and cost. Just as important, we structure the integration so the model sits behind a clean boundary in your code. That means we can upgrade to a better or cheaper model later without tearing your product apart, so your AI stays current as the field moves.

AI that makes things up is worse than no AI at all. We ground responses in your real content using retrieval, so the model answers from your knowledge base and data rather than guessing. Reaching that data where it lives, in your database or the business system you already run, is backend development work, and we do it as part of the same project. We add guardrails, handle the awkward edge cases, and put caching and sensible limits in place so the feature stays accurate and the bill stays predictable as usage climbs.

If you are a Hungarian SME, part of an AI build can be funded from the DIMOP Plusz programme, since artificial intelligence is one of its target areas. What is eligible in your project comes out of a free pre-screening. The details are on grant-funded development.

We agree the full scope and a fixed price up front, then deliver in short, reviewable stages so you can see the AI working on real inputs early and steer it toward what your users need. You get a feature that holds up in production, not a clever proof of concept that falls over under load.