AI development
AI development for businesses in the Netherlands
ATA Technology builds practical AI solutions that fit into your existing software and processes. We integrate large language models such as OpenAI GPT and Anthropic Claude into web and mobile applications, and build assistants and automations that work with your own data.
- Working languages
- NL · EN · TR
- Based in
- Nijmegen, the Netherlands
- Core technology
- OpenAI API · Anthropic Claude · Python
01What we build
- 01
AI assistants & chatbots
Customer service and internal assistants that answer from your own knowledge base.
- 02
RAG on your documents
Search and question answering over manuals, contracts, tickets and internal documentation.
- 03
Document processing
Extracting data from invoices, forms and e-mails and feeding it into your systems.
- 04
Workflow automation
AI agents that classify, summarise, draft and route work, with a human in the loop where it matters.
- 05
AI features in your product
Smart search, recommendations, text generation and analysis inside your web or mobile app.
02Responsible and GDPR-conscious
We design AI solutions with privacy and control in mind: data minimisation, EU data processing where possible, clear logging and evaluation, and human review for important decisions. We take the EU AI Act into account when scoping a solution.
03What you get
Use-case assessment
An honest look at which tasks AI can reliably improve, and where conventional software works better.
Prototype on your own data
A working proof of concept with a sample of your documents or cases, so you can judge the quality early.
Production integration
The AI capability built into your web app, mobile app or internal tool through a secure API layer.
Retrieval pipeline
Document ingestion, chunking, embeddings and permission-aware search, so answers are grounded in your sources.
Evaluation set
Test questions and expected outcomes that measure quality before and after every change.
Logging and admin controls
Insight into questions, answers, usage and feedback, with settings your own team can manage.
04Who it's for
- 01
A support team answering the same questions
An assistant drafts replies from manuals and earlier tickets, and staff review them before they are sent.
- 02
Invoices and forms typed in by hand
Incoming PDFs and e-mails are read, the key fields extracted and placed in your accounting or ERP system for approval.
- 03
Knowledge spread over many documents
Employees ask questions in plain language and get answers with links to the exact source documents.
- 04
A product that needs smart features
A SaaS platform or app adds summaries, smarter search or text generation that fits its users' workflow.
05How we work
Pick one measurable task
We start with one concrete task with clear inputs and outputs, so success can actually be measured.
Collect real examples
Together we gather representative examples and agree on what a good answer or extraction looks like.
Prototype and evaluate
We test models, prompts and retrieval settings against those examples and compare quality, speed and running costs.
Integrate with guardrails
The solution is built into your systems with access control, human review where needed and a fallback for uncertain cases.
Monitor and improve
After launch we track quality and user feedback, and extend the evaluation set as new cases appear.
06Technologies we use
Models
- OpenAI API
- GPT models for chat, extraction and structured output
- Anthropic Claude
- Strong at long documents and careful reasoning
- LangChain
- Building blocks for retrieval and tool-using agents
Data & retrieval
- PostgreSQL (pgvector)
- Vectors next to your business data in one database
- Vector databases
- Fast similarity search over large document sets
- Python
- Document parsing, data pipelines and evaluation
Integration
- TypeScript
- Typed AI features inside web and mobile apps
- Node.js
- The API layer between your apps and the models
07Our standards
- 01
Grounded answers
Answers refer to their sources, and the assistant says so when the information is not available.
- 02
Privacy by design
Only necessary data is sent, with EU processing where possible and providers that do not train on your data.
- 03
Measured quality
Changes to prompts or models are checked against the evaluation set before they go live.
- 04
Human in control
Important decisions stay with people, and every automated action can be reviewed and traced.
08Frequently asked questions
What does an AI development company do?
An AI development company designs and builds software that uses artificial intelligence, such as assistants, document processing and automation. ATA Technology integrates these capabilities into business applications for companies in the Netherlands and Europe.
Can AI work with our own company data?
Yes. With retrieval-augmented generation (RAG) the AI answers based on your own documents and systems, with access limited to what each user is allowed to see.
Is our data safe with an AI solution?
We only send the data that is needed, prefer providers and settings that do not train on your data, use EU processing where possible and set up the required processing agreements.
Can you add AI to an existing application?
Yes. Most of our AI work is adding features to existing web apps, mobile apps and internal tools through an API layer.
What if the AI gives a wrong answer?
We reduce that risk with retrieval from your own sources, clear instructions and evaluation. The workflow is designed so uncertain or important outputs are checked by a person.
Which AI model do you use?
We choose per task, for example OpenAI GPT or Anthropic Claude, based on quality, speed, cost and data requirements. The integration is set up so the model can be switched later.
Do we need a lot of data to start?
No. For most assistant and document-processing cases, a representative set of your existing documents and examples is enough to build and evaluate a first version.
09Related services
Have a project in mind?
Tell us what you want to build. We reply within 24 hours.
info@atatechnology.nl