AI integrations and connections
AI securely connected to your own systems and data
Generic AI knows nothing about your business. We connect a model safely to your own documents and systems, through RAG, embeddings and function-calling, so it answers from your data and always shows its source.
Clients rate us 4.9
- Answers with source citations
- ISO 27001-level security
- Native integration, no iframe
Built for, among others
The problem
What gets in the way
Ask a generic AI model something about your business and it makes an answer up.
Generic AI can't see your own data
ChatGPT knows the whole internet but nothing about your archive, contracts or CRM. We build a system that can really read your own documents.
Getting sensitive data to a model safely
Client and case data can't just end up anywhere. So we build with controlled access, two-step verification and full logging.
An LLM that answers without a verifiable source
An AI that claims something without saying where it comes from can't be trusted in your work. With us you click from every answer through to the original document.
AI in a separate tab instead of in your stack
Many AI tools sit in a separate window beside your system, so you copy data back and forth. We build the AI inside the system itself, where your people already work.
How we look at it
It doesn't know your archive, your clients, or your systems. And without a source citation you can never be sure it's right. That's exactly the gap we close here: we connect an AI model safely to your own data and systems.
Read more
Mind the difference. A plain API or system integration without AI falls under our Systeemkoppelingen en integraties service, under Automation. This page is about AI on your own data: through RAG, embeddings and function-calling, with source citations and access control.
We think along with you: we listen first to what you want to achieve now and where you are heading, then choose the technology to match, for the most scalable and powerful result that is cost-efficient at the same time.
What we build
How we help
We make your documents searchable for AI (RAG): every answer is based on your own files and points back to the original.
The model doesn't only read, it acts: one instruction in the chat starts functions and automations in your system. Whatever it summarises stays searchable later.
The AI becomes part of your system, with the right permissions and certificates, at ISO 27001 level with its own VPN and full logging.
Every answer refers to its source file, so you can check it. And the model only sees what it's allowed to: permissions decide who can reach which data.
Search works on meaning, so it also finds things when you use different words than the document does. Even in a large archive the right passage comes back in seconds.
What we built
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Reviews
What our clients say about us.
4.9 · based on client reviews
Revenue within two months
“In just two months, the app they built for us was generating revenue.”
Roy MartinaQuantum Life · meditation app10 hours back every week
“One week of development now saves us 10 hours every week.”
Joost van den BogartBBS AdvocatenOur outbound runs itself now
“All our outbound now runs through one system that finds the right people by itself. It saves us a ton of manual work and we get more conversations out of it.”
Kay LucasSimply
Our approach
From idea to working software in four phases
Every project runs through the same four phases, so you always know what's happening, what comes next and what it costs, from first call to live software, usually in weeks rather than months.
- 01Phase 1Free intake
Understand & analyse
Everything starts with a good conversation. We map your goals, processes and the bottlenecks worth solving: no sales pitch, just an honest read on where the biggest win sits.
- 02Phase 2Free blueprint
Blueprint & quote
We turn the analysis into a blueprint: a clear plan showing exactly which steps we'll take and why, paired with one fixed quote. You know up front precisely what we build, what it costs and when it's done, so the bill can't surprise you afterwards. And that blueprint is free and without obligation.
- 03Phase 3Prototype in days
Build, test & deploy
Then we build, in short iterations. You see a working prototype in days and a finished product in weeks. We work on a modern, AI-native and secure stack, with data protection and GDPR in mind from day one.
- 04Phase 4100% your code
Implement & optimise
We launch, hand over the full codebase and keep improving on your terms. You get 100% ownership of the code we write. Hosting and maintenance are optional.
What you always get
Fixed price
Agreed up front.
100% code ownership
Your code, fully yours.
Live in weeks
Prototypes in days, finished in weeks.
Modern & secure
A scalable stack that always integrates with the latest tech. Secured by our in-house cybersecurity experts.
Tools & tech
Not tied to one model or platform
We're not tied to one model or platform. We pick the AI approach that fits your data, budget and goal (an off-the-shelf model, a custom pipeline, or a mix), and we're honest when simpler tech does the job just as well.
- A RAG pipeline over your corpus: classification, chunking, embedding and vector store
- An AI model that answers from your data, with a source per answer
- Function-calling so the AI can drive your own functions and automations
- A native, secure integration with your system, not an iframe beside it
- Access control and logging, so the model only sees what it's allowed to
- Vector search over your documents and summaries, searching on meaning
- Clear documentation and a clean handover to your own team
- A fixed price agreed upfront, with no open ends
Faster Delivery. Fixed price. Forever your code.
Traditional agencies make software feel risky. Topdevs makes the project clear before we build.
Frequently asked questions
What does it cost to get AI built on my own data?
You always get a fixed price agreed upfront. The scope depends mostly on your corpus and your systems: how many documents, how clean the data is, and whether the model only needs to read or also needs to act. A scoped chat over a tidy set of documents is faster and cheaper than a full pipeline over a large, messy archive. We map it first and then price exactly what you need.
How long before an AI integration like this is live?
That depends on the state of your data and the number of systems. We work in short iterations, so you see a working version quickly. Putting the documents in order is usually the first step, because without a sound structure the model never finds the right passages. The cleaner and better-ordered your archive, the faster it goes live. We agree the exact timeline upfront.
Does the integration stay mine, and who maintains it?
The integration runs on your own environment and data, and the code and flows are yours, with documentation and a handover. Your own team or another party can pick it up. If you want us to maintain it, for instance as your corpus grows or a system changes, we can, on clear terms, but you're never tied to us.
Will this AI replace my people?
No, it takes the search work off their plate. Your people still decide what a good answer is and how the advice reads; the AI just finds the right passages faster, with the source attached so they can check it. Your people get more time for the work that really needs their judgement.
Is AI really needed here, or would a plain integration do?
Fair question, and the answer is often: a plain integration. If you only need to move data from A to B, you don't need AI, and you fall under our Systeemkoppelingen en integraties service, under Automation. AI only adds value when a step calls for understanding text: searching by meaning through a large archive, matching a transcript to a profile, building a branded document. We'll tell you honestly when an integration without AI serves you better and cheaper.
How do I know the AI isn't making things up?
Because we tie every answer to a source. Every answer points back to the original document, so you can always see where something came from. The model draws from your own corpus, not general internet knowledge, and what it can't find in your data, it doesn't invent. Verifiability isn't an extra, it's the starting point.
Contact
Ready to build?
Send us a message or book a call straight away. We're happy to think through the best approach with you.
