Generative AI development · WebUncles
We design and build AI applications on top of large language models: tools that answer questions from your documents, generate drafts and reports, guide users through tasks, or power a new product. From a quick proof of concept to a secure app your team uses daily.
Why custom
Public AI tools are useful, but they do not know your documents, products or rules, and you control little about how they are used. A custom app gives the model the right context, limits what it can do, fits your workflow and lets you manage access, cost and data.
Idea
A proof of concept on your own data shows quickly whether the idea works before a bigger build.
Problem
Policies, manuals and past work spread across many files. Document Q&A gives answers with sources.
Problem
Proposals, product texts or reports written from scratch every time.
Result
Grounded in your content, limited to your rules, with feedback to keep improving.
What we build
Ask questions about your manuals, policies or contracts and get answers with links to the source.
Drafts in your format and tone, from your data, ready for a person to review.
New web or mobile products with AI at the core, from prototype to launch.
A small working version in weeks to test an idea on real data before investing more.
Tests with real questions, limits on what the AI may say or do, and monitoring after launch.
The right model for each task, caching and limits to keep usage costs predictable.
Honest advice
Many teams should start with a public tool. A custom app makes sense when these points apply.
| Public AI tool | Custom generative AI app | |
|---|---|---|
| Your data | General knowledge is enough | Must use your own documents and data |
| Control | Personal use, few rules | Access rules, logging and limits needed |
| Scale | A few users | Many users or customers, inside your product |
Your choice
Own it
You pay for the build once and own the code. No per-user or licence fees.
Pay monthly
A lower start: we host, maintain and support the software for a monthly fee. The software is licensed to you, not sold.
Ready software
For our ready-made software: a one-time licence fee, with optional yearly support and updates.
Your team
Hire a developer or a team by the hour or by the month to build and improve under your direction.
How we work
Step 1
The users, the job the AI does, the data it needs and how we measure quality.
Step 2
A small working version on your data, tested with real questions.
Step 3
The full app with logins, roles, guardrails and your branding.
Step 4
Systematic tests on quality, safety and cost before launch.
Step 5
Release, monitor answers and costs, and improve with user feedback.
Free consultation
Tell us what you want the AI to do and for whom. We reply with whether it is a good fit for generative AI and what a proof of concept would look like. No obligation.
FAQ
Can’t find your question? Ask us on WhatsApp or through the form below.
AI that creates text, images or other content in response to instructions. Business apps mostly use large language models to answer questions, summarise and draft text.
A way to let the AI answer from your own documents: the app finds the relevant passages and the model writes an answer based on them, with links to the sources.
No. Most apps use existing models with your documents as context; no model training is needed for a proof of concept.
Depending on the use case, open models can run on your infrastructure, or we use providers’ business services with agreed data terms. We discuss the options early.
We ground answers in your sources, show citations, test with real questions before launch, set limits and keep people in charge of important decisions.
It depends on the scope and usage. We usually start with a proof of concept at a fixed price, then quote the full build.
Free consultation
Share what the AI should do, who will use it and what data it needs. We will reply with a suggested next step.
