Measure the model on your work
Build a representative set of tasks from the intended workflow. Compare candidate models on the result the team actually needs, including cases that should be referred to a person.
Assessment & evaluation
Vento Private AI
AI deployed in your own environment.
We engineer the connections between models, company knowledge and the infrastructure they run on. A private deployment defines where data is stored and processed, who can access it and which external services are allowed. Evaluation ties these choices to the task.
The engineering
What an engagement covers
An assessment can bring together a comparison of model options, results on your tasks and a deployment recommendation. An implementation connects the chosen approach to the workflow, with evaluation and handover agreed in scope.
Plan where it runs
Compare on-premises and cloud options against expected usage, response times, available compute and operating costs. Define access, retention and permitted external services before choosing the deployment.
Deployment planning & implementation
Connect company knowledge
Bring the right records and context into the workflow through retrieval, data integration or model adaptation. Preserve the connection to source information and evaluate changes against the same task set.
Model & workflow development
Make it maintainable
Treat the model, its sources and the surrounding application as one system to maintain. Define monitoring, updates and repeat evaluation, with documented dependencies and responsibilities for handover.
Operational handover
In development
Private search across company documents
We are exploring private search across company documents, tickets and meeting notes, with attention to source references and the permissions attached to the underlying material.
Illustrative workflow: a question about an internal process could return relevant passages from permitted documents, with source references for a person to check.
In development
On-device transcription
On-device transcription is another area of exploration: capturing and summarising speech locally, with hardware and model choices to evaluate under practical recording conditions.
Preparing an assessment
What we need to scope an assessment
Start with a description of the work and its constraints. These three inputs help us scope a useful comparison before choosing a model or deployment.
01
The task
Describe one recurring question or decision, the expected result and who will review it. Include examples of where a person needs to take over.
02
The information
Describe the records involved, how they are accessed and any limits on where they may be processed. Account for prompts and system records as well as source documents.
03
The operating conditions
Outline expected usage, response-time needs, available infrastructure and who would maintain the system. Identify licensing, ownership or support requirements to agree in scope.
Talk to Vento
What would you use AI for in your own environment?
Share the task, the information it needs and where it may run. We can scope an assessment around representative inputs, expected outputs and the people who will review the results.
Discuss Private AI