Generative AI Development Services

The cost depends on three things: how much of the system is new, how many of your existing tools it must connect to, and how fast you need it live. Connecting to other systems usually moves the price most. We don't publish a flat price because two projects rarely match. After a short scoping call, you get the cost and timeline in writing before any build starts.

It depends on scope, but you see working software early. Week one covers scope and the build plan. Week two starts the first sprint, and you get your first demo at the end of it. After that, there is a working demo every week. You can change direction while changes are still cheap, instead of waiting months for one big reveal.

Most businesses should start with RAG. RAG means the AI looks things up in your documents before it answers, so it uses current data and can show its source. Fine-tuning, which is extra training on your examples, fits when the AI must match an exact style or format. An AI agent fits jobs with several steps across different tools. We often combine them, as we did for Extensiv.

We ground answers in your own data, not the open internet. In the system we built for Extensiv, a search that looks weak gets rewritten and retried before the AI answers. Database queries are tested and fixed before they run. Database tools are read-only, so the AI can't change records. For high-stakes work, a person reviews every output before it is used.

Your data stays in your accounts, not ours. By default, the system runs inside your own AWS, Azure, or Google Cloud account, or on-premise if you need it. Diesel Laptops runs its system inside its own AWS environment. For sensitive files, we can delete working copies after each job, as we do for Q Agency's property contracts. Nothing depends on us staying in the picture.

Yes, as design rules for the system we build for you. We design those controls in from the start instead of patching them in before an audit. SmartMedHx handles clinical notes for 42 healthcare providers and is HIPAA-compliant. To be clear, Kodexo Labs itself does not hold a SOC 2 certification. If you have an auditor or security questionnaire coming, tell us on the first call.

Usually, yes. We add AI to existing systems instead of forcing a rebuild, because a rebuild you didn't need is the most expensive thing we could sell you. For IFPG, we improved the chatbot already running on its website. For Q Agency, the AI fills in the intake form its team already used. If your current system truly can't support what you want, we'll show you exactly where it breaks.

No. Many businesses know something should be automated but not what to build first. That is what an AI readiness assessment is for. We look at where your team's hours and errors actually go. Then we tell you which use case is worth building first and which ones are not worth the money. Bring a rough idea, a broken process, or a stalled pilot.

Most clients move to a monthly engagement after launch. It covers fixes, tuning, new data, and the next features. Some take the system fully in-house instead, which works because it runs in their own cloud. Either way, generative AI development does not stop at launch, because your data keeps changing. 94% of our clients stay with us after the first engagement.