Self-Hosted AI Model Evaluation
Choose private AI infrastructure with evidence from your own work.
Compare suitable models using your tasks, quality expectations and performance requirements.
The opportunity
The problem we help you solve
Model rankings and hardware specifications cannot tell you exactly how a deployment will handle your documents, questions or user load. Buying first and testing later leaves the most important assumptions unresolved.
Voxd evaluates suitable self-hosted models against representative tasks and operating expectations. We look at output quality, response behaviour and resource requirements together. You get a clearer view of the options and the trade-offs behind a deployment recommendation.
What changes for your team
Judge the model against the job
Use examples that reflect your actual workload rather than relying only on general benchmarks.
Understand performance trade-offs
Compare quality and response requirements with the resources needed to support them.
Make a better-informed purchase
Bring evidence into hardware and hosting decisions before committing to a larger environment.
What we deliver
What Voxd can deliver
Evaluation brief
Define tasks, expected outputs and the conditions the model needs to operate under.
Comparative testing
Assess shortlisted options against agreed quality and resource measures.
Recommendation and assumptions
Explain the results, limitations and likely implications for deployment and operation.
Why Voxd
Infrastructure connected to the application it serves.
Voxd combines AI integration and custom software capability with infrastructure design. We consider how users will access the service, how it will retrieve information and how the surrounding application will behave when a dependency is unavailable.
We can help compare options before hardware is purchased and stay involved through deployment and operation. The goal is a usable business service with an appropriate hosting model, not a model running in isolation.
How we work
Prove the workload before committing to the infrastructure
- 01
Define the boundaries
We establish the use cases, data requirements, users and operating expectations, including the systems and dependencies around the model.
- 02
Evaluate the options
We test suitable models and deployment approaches against representative tasks, comparing quality, performance and likely total operating cost.
- 03
Build the environment
We configure the infrastructure, access and application connections, then test the complete workflow and its operational controls.
- 04
Prepare to run it
We agree monitoring, maintenance, recovery and ownership, with handover or ongoing management matched to your team’s capacity.
Before you get started
Before you get started
Can you compare private and hosted options?
Yes. Where appropriate, the comparison can include a hosted reference so the trade-offs are easier to understand.
Will one model be best for every task?
Not necessarily. Different tasks can favour different approaches, and the recommendation should reflect the workload rather than a universal ranking.
Test the workload before buying the infrastructure.
Bring representative tasks and the quality or performance requirements you need to meet.