Lab program
A working research and demonstration program for practical business AI.
The Private AI Lab is an actively developing initiative focused on evaluating repeatable, secure, and commercially practical AI architectures.
Lab objectives
- Benchmark suitable open models
- Evaluate model quality and resource requirements
- Test knowledge-retrieval systems
- Test AI-agent orchestration
- Document deployment procedures
- Evaluate hybrid cloud bursting
- Measure power, latency, storage, and GPU requirements
- Validate backup and recovery
- Develop small-business reference architectures
- Produce educational technical content
Program areas
Current research
Active model benchmarks, retrieval-system evaluations, and orchestration experiments.
Planned evaluations
Upcoming work scoped for the next lab cycle.
Reference architectures
Documented, repeatable deployment patterns for common business scenarios.
Technical notes
Practical writeups from real evaluation work — findings and tradeoffs.
Collaboration opportunities
Ways for developers, hardware manufacturers, and organizations to engage.
Hardware and infrastructure needs
Categories of equipment relevant to current and planned evaluations.
Vendor and developer relationships
Framework for evaluating, engaging, and disclosing technology relationships.
Contact for technical collaboration
Direct path to discuss joint evaluations, resources, or content.
Collaboration opportunities
The Lab welcomes technical collaborations with hardware manufacturers, distributors, developer-program teams, and organizations exploring practical AI adoption.
- Remote laboratory access
- Developer cloud resources
- Evaluation hardware
- Demonstration systems
- Technical validation
- Co-developed reference architectures
- Product feedback
- Educational demonstrations
- Joint technical content
Interested in the Lab’s current work or a collaboration?
We’re open to conversations with technical collaborators, vendors, and organizations evaluating private AI.