01
Define the work.
Understand your applications, model needs, data requirements and what a useful deployment looks like.
An agreed scopeAI deployment, managed
Your AI.
Our infrastructure.
Deploy and run AI models for your institution.
We bring the compute, model hosting and
operational support together.
Built around your work.
Model hostingGPU computeManaged operations
One connected service
You have the ambition.
We handle the infrastructure.
From choosing the right models to keeping them running. A managed foundation for the AI your team wants to build.
Inside the deploymentGPU infrastructure
A foundation configured for your workload.
Managed by ZerqiloShaped around your model requirements
A closer look at our services
LanguageReasoningCodeMultimodal
For institutions moving forward
Built for the work
that matters.
Different goals. Different workloads.
An AI environment that starts with yours.
Ideas deserve room to become useful.Across your institutionMore possibilities.
More possibilities.
Less infrastructure to manage.
Bring AI into research, teaching and institutional services, with a deployment shaped around the people who use it.
- Research and knowledge discovery
- Internal assistants and applications
- Document-intensive workflows
From the first conversation onward
A clear path
to putting AI to work.
Start with what you need to achieve.
Build the deployment around it.
02
Shape the deployment.
Bring together model choices, compute capacity and an access approach that fits your environment.
A considered setup03
Deploy. Then keep going.
Run the agreed environment with ongoing management, technical support and room for your needs to evolve.
An ongoing partnership