Run within your own network.
Deploy model processing and supporting services on infrastructure within your organization. Connect directly to approved internal systems and define how users and applications gain access.
Bring AI closer to your business information, applications and people—with a deployment designed for the way your organization operates.
PROGMAX designs and integrates AI solutions for on-premises infrastructure and private cloud environments. We help define where processing happens, what information the system can access and how it connects to your existing software.
Some applications can use a hosted AI service. Others need to operate inside a private network, close to internal systems or without an external connection during normal operation.
We start with those requirements and design the deployment around them—from model selection and infrastructure to application access and ongoing maintenance.
The right environment depends on your information policies, connectivity, workload and the resources available to operate it.
Deploy model processing and supporting services on infrastructure within your organization. Connect directly to approved internal systems and define how users and applications gain access.
Deploy within a dedicated cloud environment with defined networking, identity and storage controls. Plan capacity and connectivity around the applications that will use it.
For environments that require local operation, account for the model, document processing and supporting dependencies. Establish a controlled process for installation, updates and maintenance.
A useful deployment needs to answer real questions, work with your applications and perform under everyday demand.
We evaluate the complete workflow, including information retrieval, model responses and system integration. Infrastructure decisions follow the workload and measured results.
Explore AI IntegrationIdentify the tasks, expected users, response times and information sources the deployment needs to support.
Compare suitable models using representative questions and documents. Review answer quality, resource requirements and licensing.
Assess CPU, GPU, memory and storage needs against the selected model, workload and expected number of concurrent requests.
Establish monitoring, version management, backup and recovery procedures, with clear responsibilities for maintaining the system.
Private hosting is one part of the design. Information access, system behavior and operational records need the same attention.
Define which users and applications can reach the service and which information they may retrieve. Apply those boundaries to supporting documents as well as generated responses.
Account for source documents, search indexes, temporary files, conversation history and logs. Agree on retention and deletion requirements for each part of the solution.
Test model and application updates against representative tasks. Review changes in answer quality, permissions and performance before introducing them into daily use.
A private deployment can provide the foundation for Scotty to work with information inside your organization.
For SHOPGRID® environments, that may include approved manufacturing documentation and connected operational records. Other applications can bring the same conversational approach to internal business knowledge and workflows.
We define the available sources, integrations and deployment requirements together, then evaluate the experience against the questions your team needs answered.
Meet Scotty
Tell us about your environment, your applications and the work you want AI to support.