AI & Software Services on NVIDIA Infrastructure
Software and services that turn powerful NVIDIA hardware into working solutions, with AI-based safety and security as our core specialisation.
From proof of concept to production
We pair deep hardware expertise with software services so you get one accountable partner from GPU to outcome.
AI Safety & Security
Our specialisation: vision AI for PPE, zones, vehicles, fire and intrusion across single or multiple sites.
Learn more →Computer vision development
Visual inspection, counting, OCR and ANPR models trained and tuned for your products and conditions.
Private generative AI
On-premises language and vision-language models for enterprise search, document Q&A and reporting.
AI infrastructure & MLOps
GPU scheduling, containers, monitoring and model deployment pipelines on NVIDIA infrastructure.
Big Data & data engineering
Pipelines, storage and analytics platforms sized for data-intensive environments.
HPC software & tuning
CUDA-enabled application setup, MPI and container workflows, and performance tuning for your codes.
3D visualisation & digital twins
Omniverse-ready workflows and GPU visualisation environments for design and operations.
Training, support & AMC
Hands-on training, responsive technical support and annual maintenance for everything we deploy.
How we work with you
Discover
Understand the operation, data, sites and success measures.
Prove
Run a focused proof of concept on your cameras, documents or datasets.
Roll out
Deploy on right-sized NVIDIA infrastructure with integration and training.
Support
Monitor, tune and expand with responsive support and AMC.
AI services questions
Do I need the cloud to run AI on my data?
No. We specialise in on-premises and edge deployments on NVIDIA GPUs so sensitive data stays inside your network. Hybrid designs are possible where they make sense.
Can you build a private generative AI assistant for our documents?
Yes. We can deploy open and commercial models on your own GPU servers and connect them to your document stores with access controls, so teams can search and ask questions without data leaving the company.
How do engagements usually start?
With a short discovery session and, where useful, a proof of concept on a small number of cameras, documents or datasets, so you can judge results before a wider rollout.
Have a use case in mind?
Describe it in a few lines. We will tell you what is realistic, what it needs and how to test it quickly.