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Keep sensitive information under your control
Deploy AI in an environment designed around your organization’s privacy, security, and data-governance requirements.
Private AI for manufacturers
Your AI - Your Data - Your Control
Stride Private AI helps businesses deploy powerful language models on their own infrastructure, enabling teams to search internal knowledge, automate workflows, and use AI while reducing reliance on external AI providers.
Video Demonstration
Private AI Workflow
Why teams choose it
Private AI built for operational trust
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Build AI around your business
Integrate language models into existing workflows, internal applications, and business processes instead of forcing teams into generic tools.
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Make company knowledge accessible
Turn internal documents, manuals, policies, and technical knowledge into a searchable AI assistant your teams can actually use.
Synthetic manufacturing demonstration
How locally deployed AI works
Use a synthetic manufacturing documentation set to demonstrate how internal manuals can become a practical assistant for maintenance, operations, quality, and engineering teams.
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Upload or index a collection of internal manuals
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Ask a question in ordinary English
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Receive an answer grounded in the documents
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Click the source references to verify the answer
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Run the assistant on local infrastructure
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See which components process or retain data
Synthetic Manufacturing Knowledge Assistant
Private workflow illustration
Indexed manuals
Line-3 Maintenance ManualWelding SOPSafety Lockout PolicyPump Troubleshooting Guide
Question
What should a technician check first if the coolant pump on Line 3 shows pressure loss after restart?
Grounded answer
First verify valve position and inspect the restart priming sequence, then confirm the suction filter is clear before escalating to seal inspection.
Line-3 Maintenance Manual §4.2Pump Troubleshooting Guide §2.1Restart Checklist Step 6
Runtime
On-prem GPU server / private infrastructure
Data visibility
Ingestion, retrieval, model, logs, and storage boundaries visible
Technical deployment options
On-premises and private infrastructure options
Deployment options can include on-premises hardware and private infrastructure. For organizations with strict privacy or compliance needs, the stack can be configured to operate without external model APIs or third-party data processing.
Document ingestion and indexing for manuals, SOPs, policies, and technical records
Retrieval workflows that ground answers in your approved internal content
Private model serving on on-premises hardware or private infrastructure
Clear visibility into which components store, process, or pass through company data
The right architecture depends on model size, latency targets, document volume, security requirements, and available infrastructure. A discovery session helps determine whether fully local LLM deployment is the right fit. Please contact us for more information using the form below.
Book a discovery session
Understand whether Private AI fits your environment
Use this session to understand your needs, review deployment constraints, and determine whether local LLM deployment is appropriate for your organization.
What we cover
- Current document sources, workflows, and knowledge bottlenecks
- Security, privacy, and data-governance requirements
- Whether a local deployment, hybrid design, or another approach makes sense
Private AI Discovery Session
Tell us about your environment and goals. We’ll follow up to scope a focused discussion.