AI on your infrastructure
Want to use AI while keeping documents and data on your own infrastructure? We deploy models on your servers or in a private cloud of your choice. Your team can use assistants while you control where information is processed and who can access it.
Discuss a private deploymentModels for your team, access under your control
This service covers the environment that runs models and serves your applications. Before buying hardware, you see test results and estimated costs for your expected user count. We can use your existing infrastructure and work with your IT team.
What you receive
- A comparison of deployment options, hardware requirements and costs
- A model in your environment for the agreed applications and users
- Permissions and verified data flows, including logs and backups
- Monitoring, documentation and a plan for updates and service recovery
Where we can help
An assistant for company documents
Search and answers based on documents processed in your environment. Access to source material follows each employee’s permissions.
Document processing on your servers
Read and classify documents without an external model API. We test the quality of local tools and connect the results to your document workflow.
A shared service for business applications
We expose selected models through an internal API. Each application has its own permissions and limits, while administrators can monitor load and service health.
Getting started and what to expect
You can commission the first stage on its own. We agree on the work and its cost before starting, and you decide what comes next based on the results. If you already have a specification or assessment, we use it to plan the work.
A plan for private deployment
Discovery gives you a comparison of deployment options, data requirements and models to test. The plan identifies which existing resources you can use and defines the scope and budget of the pilot.
Results before a hardware purchase
Tests on your data show answer quality, response times and resource needs. You receive a model and hardware recommendation with an estimate of running costs, so you can decide whether to deploy.
An environment your team can operate
The models are available to the agreed users and applications. Your IT team receives monitoring tools, documentation and procedures for updates and recovery. We can provide ongoing support alongside your team.
Frequently asked questions
We agree on the processing scope before deployment. We review the whole data flow, including document reading, search, logs and backups. If data must stay in your environment, we select local components and verify external connections.
Run artificial intelligence on your infrastructure
Describe the task, data restrictions and available servers. We will identify the options worth comparing and what needs testing before you invest in infrastructure.
After reading your message, we will follow up with questions and suggest a conversation about scope and pricing.
You can also email us directly: office@softwarelogic.co