Real-Time Data & AI Solutions

Building AI solutions that unlock the full potential of your data while maintaining strict control over privacy and costs.

Our Philosophy

We are a lean team with years of experience collaborating on high-impact projects. Over the years, we have acquired deep expertise in real-time system performance and stability.

We have crystallized this knowledge into an Agentic Framework with robust real-time capabilities.

However, we are wary of building solutions that are technically brilliant but ignore real market needs. We are actively seeking customers to partner with us, ensuring their requirements directly shape our framework as we progressively build out its full capabilities.

Seasoned Data and AI Engineering Practitioners

20+ Years of Mastery

AI Engineering: Natural Language Processing (NLP)
Core ML: Machine Learning, Machine Vision, Optimization
Data Management: Event Stream Processing, Big Data, Fast Data
Search: Information Retrieval, Retrieval-Augmented Generation (RAG)
Operations: Integration, Application Monitoring, and Performance Management

Multi-Domain Impact

NLP: Leveraging foundation models to classify and extract entities from KBC documents and emails.
Fraud Detection: Real-time monitoring of hundreds of transactions/second across BNPP Fortis channels.
Anti-Money Laundering: Developing models that detect suspicious transaction behaviors for KBC Group.
Risk Analysis: Automated real-time selection of suspicious shipping for Belgian Customs (SEDA).
Traffic Control: Scalable ANPR camera management (Macq M3) for the Belgian Federal Police.
Intelligent Routing: Proximus models to route customer calls to relevant operators.
Proactive Damage Detection: Data streaming for real-time detection of collateral damage for Proximus.

Value Proposition

Our solution is built on open-source components and is designed to run entirely on-premises, though cloud deployment is fully supported. We recommend the on-premises approach to guarantee:

1. Cost Control

No license fees, predictable expenses (no surprise cloud bills), and efficient resource usage via tailored foundation models.

2. Data Privacy

Your data remains on your infrastructure, ensuring it is always under your full governance and control.

3. Stability & Ownership

You own the solution, preventing vendor lock-in and avoiding forced migrations if third-party support ends.

Technology Stack

Rather than offering a rigid platform, our framework utilizes a modular technical stack that can be quickly reconfigured to deliver event-based AI solutions tailored to specific use cases.

The stack includes connectors to various real-time event sources (e.g., incoming emails, camera feeds, stock market prices), the Apache Flink stream processing engine, and the vLLM platform to serve foundational AI models. It also integrates tools such as an MCP layer for agentic capabilities and the Elastic Stack for storing, visualizing, and interacting with past events.

Use Cases

Explore various configurations of our technology stack, highlighting its flexibility across four distinct scenarios.