Reliable AI starts
with a solid foundation
88% of AI projects
don't reach production(a)
Not because models are bad but because of everything around them.
Who hasn't experienced it? The demo worked perfectly on 100 examples. But the live systems makes 100,000 predictions per day, including the skewed scanned documents, the data labels with typos and the edge cases nobody thought of. That's where AI projects fail. The difference between a demo and a system that keeps working?
A demo crashes on the unexpected. A production system handles it predictably and safely.
The 4 killers
of AI projects:
Our approach
We build AI systems that actually work, with real data and real edge cases.
Discovery Sprint
2-4 weeks where we analyze your data, systems and goals. The result: a concrete plan with clear milestones and risks.
Production MVP
2-12 weeks from discovery to working system with monitoring, fallbacks and documentation.
Scale & Handover
Knowledge transfer to your team. Or ongoing collaboration for continuous improvement and expansion.
Ways to collaborate
Fixed price, fixed result
For organizations with new AI opportunities. We help prioritize and deliver a working system within agreed time and budget.
- Discovery Sprint + production MVP
- Fixed price, no surprises
- Knowledge transfer included
Typically 2-16 weeks
Flexible collaboration
For organizations that want to continuously build and iterate.
- Monthly retainer
- Adjust priorities as needed
- Continuous improvement and support
Proven at scale
From LLMs, time-series forecasting, computer vision to MLOps. Our systems make millions of reliable predictions every week.
€ 400k+
saved per year using computer vision & time-series forecasting
€ 120k+
saved per year through MLOps & GPU optimization
10M+
predictions per week
About
Sven Arends
Founder & AI Lead
Over the past few years, I’ve worked hands-on with multiple startups and scale-ups where AI isn’t a buzzword, but the very reason they exist. I’ve built systems saving hundreds of thousands of euros annually, established production-grade MLOps pipelines for GPU workloads, and led teams from early prototypes to real-world deployment.
aardbai exists because smart teams too often get stuck between demo and production. Not for lack of talent, but of foundation. Together we create that foundation, so your company can truly move forward with AI.
Ready to get started?
Book a discovery call. You tell us the problem, we tell you what it takes to reach production.
Contact usOr email directly at [email protected]
