A BROADER PERSPECTIVE ON AI

AI, from every angle.

Your ambition. The right intelligence.

From the data underneath to the people using it. We connect models, knowledge and governance to make AI work for your business.

✳ Human ambition. Intelligent collaboration.
Two professionals share a desktop computer while aiQLT agents  peek over the screen.
A little curiosity. A whole new perspective.
01 / THE PURPOSE

Business value first.

02 / THE APPROACH

The model that fits.

03 / THE FOUNDATION

Control by design.

01 / AI AGENT DEMOCRATIZATION

Big ideas. No coding required.

If you can type it, you can start building it.

We’re building a platform that puts AI agents in everyone’s hands. Describe the job, add the knowledge and choose the model that fits. No coding or technical background required.

Create ad hoc knowledge bases and bring agents into everyday work, with organizational control in mind from the start.

No-code agents Model choice Ad hoc RAG
Talk to us about the platform
Office professionals collaborate with their own aiQLT agent.
IN DEVELOPMENT

One platform. More possibilities.

Digital Twins

We also develop Digital Twins to bring real-world context into AI applications.

Double AI Agent

Our own agent architecture, developed as part of a broader approach to intelligent workflows.

02 / RAG SUPPLEMENTATION

Give your AI the bigger picture.

Better context. More relevant answers.

Retrieval-Augmented Generation connects a model to your knowledge at the moment it answers. That means more context, more relevant responses and less reliance on what the model learned during training.

We’re developing an out-of-the-box RAG solution that automates the path from documents to useful context. Your focus is RAG Content Management: choosing, organizing and keeping your source material current.

  1. Your content
  2. Relevant context
  3. Informed AI
A robot feeds documents into a RAG appliance connected to an office computer.
03 / DEEP LEARNING

Intelligence shaped around your challenge.

Your data. Your environment. Your model.

We build custom deep learning solutions on strong open-source foundations. From language and vision to prediction and anomaly detection, we adapt the model to the problem that matters.

Our work includes fine-tuning and training self-hosted models, evaluating them against your use case, and preparing inference for your own infrastructure. A practical path from promising experiment to operational capability.

Fine-tuning Self-hosted models Model evaluation
Discuss your use case
An engineer and an ai agent work on model training beside a private server rack.
04 / DATA ENGINEERING

Great AI starts with dependable data.

From source systems to model-ready datasets.

We engineer ingestion and transformation pipelines in Snowflake and Databricks, with dbt for modular SQL transformations, testing and documentation.

Incremental processing, data quality checks and clear lineage turn fragmented sources into reliable datasets for analytics, machine learning and RAG.

Snowflake Databricks dbt
An engineer in a laboratory coat and an aiQLT agent assemble data pipelines on a workbench.
05 / SECURITY & COMPLIANCE

Confidence isn’t an afterthought.

European roots. Responsibility from day one.

As a European company, we consider AI compliance from the outset. Data protection, access boundaries and human oversight belong in the architecture—not at the end of a project.

We design with GDPR obligations and the EU AI Act’s risk-based approach in mind, aligning controls with the use case, the data involved and your organization’s responsibilities.

  • Intentional data access and model selection
  • Human oversight where it matters
  • Governance shaped around your use case
Explore the EU AI framework
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YOUR NEXT CHAPTER

Let’s make AI work for your business.

Bring us your challenge. We’ll explore the right way forward.

Start a conversation