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AI development company
Useful AI is rarely a standalone demo. It is an assistant that answers from your own documents, a form that fills itself in from an uploaded invoice, a search that understands what someone meant. Theme29 designs and builds these AI features as part of real software: websites, mobile apps and business systems.
We work as an AI development company in the practical sense: we choose the model and approach that fits the task, connect it to your data and systems, and build the interface and safeguards around it. Our own Zabi app already ships an AI Islamic chatbot and name generator, so we know what it takes to run AI in a live product.
Most engagements begin with one of these, then grow as the first feature proves its worth.
Purpose-built AI products and internal tools: an analyst assistant, a content generator, a recommendation feature, designed around a specific job rather than a generic prompt box.
Steps that follow rules and patterns, like sorting incoming requests, categorising entries or drafting replies, are handed to AI with a person approving anything important.
Assistants that answer customers or staff from your own knowledge base, escalate when they are unsure and show where each answer came from.
Text, image or structured-output generation built into your product: descriptions, summaries, names, drafts and translations, with review and control features.
Connecting a model to the app, database and admin panel you already have, without rebuilding the product around it.
In-app chat, generators, recommendations and image or voice input inside a Flutter app that ships to both stores.
Assistants answer from the documents and records you provide, not from whatever the model half-remembers, and they can cite the source of an answer.
Anything with financial, legal or reputational consequences is drafted by AI and approved by a person. The design makes that step easy, not optional.
We test features on real examples from your business and agree what a good answer looks like before launch, then check it again afterwards.
What data leaves your systems, which provider handles it and what each request costs are decisions we make with you, not surprises after launch.
Sorting, summarising, extracting and drafting are tasks where AI saves real hours when set up carefully.
Customers and staff get an instant first response from a system that knows your content.
Search, generators and recommendations that make an existing app more useful.
Documents, tickets and records that sit unread become searchable and summarisable.
Answers common questions from your help content and passes the rest to a person.
Pull totals, dates and parties out of invoices, forms and contracts into your system.
Ask a question in plain language and get an answer with the source document.
Product descriptions, summaries and drafts in your tone, reviewed before publishing.
An AI assistant inside a mobile app, as in the Islamic Q&A chatbot in Zabi.
Categorising expenses, summarising records or suggesting next steps inside an invoicing, HR or CRM system.
AI projects go wrong when they start with the technology. We start with the task.
We pick a single task where AI could save time or add value, and define what a good result looks like.
What documents or records will the AI use, in what state are they, and what must never leave your systems?
A working prototype tested on real examples, so we learn quickly where it is strong and where it is not.
The feature goes into your website, app or system with a proper interface, permissions and safeguards.
We watch quality and cost after launch and tune prompts, data and settings as real usage arrives.
We choose per project. The approach depends on the task, budget and privacy requirements.
We build the app, the admin panel and the AI behaviour together, so the feature is usable rather than a proof of concept.
Zabi includes an AI Islamic chatbot and an AI name generator used inside a published mobile app.
If a simpler rule-based solution does the job better than AI, we will recommend it.
FAQ
It designs and builds software that uses AI models to do useful work: assistants that answer questions, systems that extract data from documents, tools that generate content, and automation for repetitive tasks. That includes choosing the right model, connecting it to your data and building the interface and safeguards around it.
Yes. Often the most valuable projects add one AI feature to an existing website, app or admin panel, without rebuilding anything around it.
Language models can produce confident mistakes, so we reduce the risk by grounding answers in your own content, showing sources, limiting what the assistant will answer, and keeping a person in the loop for important decisions. We do not claim it removes the risk entirely.
We agree with you what data the AI can see, which provider handles it and what is stored. Sensitive projects can use approaches that keep data inside your environment. Data handling is a design decision, not an afterthought.
It depends on the task, the data and the number of integrations. A single focused feature is very different from a platform. We start with a short discovery call and a written scope for the first feature.
We can build assistants that work in multiple languages, including Bengali and Arabic. Quality varies by language and model, so we test with real examples before promising results.
Projects often span more than one area. These pages cover the neighbouring services.
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