Generative AI & LLMs
Custom assistants, RAG systems and fine-tuned, locally-hosted language models on your own data.
From our AI Lab in Amsterdam, VRMA designs, trains and deploys production-grade AI across domains, from computer vision and language to generative systems and predictive analytics, on a full Apple Silicon stack engineered for world-class performance, privacy and efficiency.
We build and ship intelligent systems across the full spectrum of applied AI, matched to real business problems in retail, banking, hospitality, logistics, media and beyond.
Custom assistants, RAG systems and fine-tuned, locally-hosted language models on your own data.
Detection, recognition, OCR, quality inspection and visual search for images and live video.
Understanding, classification, extraction and conversational interfaces in many languages.
Forecasting, churn, risk scoring and demand planning, trained on your historical data.
Document and workflow automation that removes repetitive, error-prone manual work.
Relevance and personalization engines that lift engagement, basket size and conversion.
Transcription, voice interfaces and audio understanding, fast and on-device.
Models that run privately on-device, with no cloud round-trip and no data leaving the building.
Our Amsterdam lab runs a full Apple Silicon stack, the latest and most powerful chips Apple makes. That means we can train, fine-tune and serve large models entirely on-device, with the kind of unified memory that lets a single machine hold models most setups cannot.
No cloud lock-in. No data leaving the building. No per-token surprises. Just fast iteration and production systems engineered to ship.
AI Lab · Amsterdam
The most powerful chips Apple builds, chosen for massive unified memory and on-device training. Among them:
Apple's most powerful silicon, with up to 512GB of unified memory for the largest local models and training runs.
Our latest-generation Max silicon, with a next-generation Neural Engine tuned for fast large-model inference.
An efficient powerhouse for training, fine-tuning and rapid prototyping across the lab.
High-bandwidth GPU built for vision and generative workloads.
Proven workhorse with up to 192GB unified memory for heavy pipelines.
Balanced performance for production inference at scale.
…and more across the lab. A full Apple Silicon fleet, kept current with Apple's newest releases.
Run and train large models that simply will not fit on conventional GPUs.
On-device training and inference, so sensitive data never leaves the building.
Silent, efficient, sustainable compute that runs heavy workloads cool.
Train and serve locally, with no cloud dependency and no per-token bills.
A pragmatic path that gets a working system in front of your users fast, then hardens it for scale.
We map the problem, the data and the outcome that matters.
A working proof on real data, in weeks, not quarters.
We train, fine-tune and engineer the production system.
On-device, on-premise or in your cloud, your choice.
We monitor, retrain and improve as your data evolves.
Tell us the problem. Our Amsterdam lab will tell you what is possible, and build it on the most powerful silicon there is.