Run AI assistants and document search within your infrastructure
A foundation for AI in your own environment
The VIAVIS on-premises platform provides a shared environment for running chatbots, AI agents and retrieval-augmented generation (RAG) solutions that use your documents and other information sources when answering queries. Multiple applications can be developed on a single platform to meet the needs of different teams.
Model management and operational oversight
The platform covers model management, inference (processing requests through a model), access control, logging, monitoring and alerts for operational events. The solution design also addresses GPU selection and sizing based on expected workloads and ongoing optimization of performance and computing resource consumption.
Local processing or access to models through APIs
Models may run on local GPUs, use external APIs or combine both approaches. A fully local configuration can operate without an internet connection. Where external APIs are used, the types of requests and data that may leave your environment are agreed in advance.
From demonstration to real business use
The core solution includes demonstration deployments of an agent, chatbot and document-based RAG. This can be followed by implementation using your own data and integration with processes such as internal knowledge bases or employee support.
Security with measurable value
Control over your data
With a fully local deployment, documents and model requests remain within your infrastructure. You decide who has access.
Visibility into inference costs
Monitor GPU utilization and consumption of computing resources. If you use external APIs, their costs can be evaluated separately.
Operation without internet access
A fully local configuration can process requests even when internet connectivity is unavailable.
Stable model behaviour
You control the model version and its configuration, and decide when updates are introduced.
