01
Control Customer-controlled deployment
Choose the infrastructure, region, network boundary, identity model, and operational ownership.
Enterprise + government Enterprise
QGI Private AI
Own the boundary, the operating model, and the intelligence inside it.
Enterprise offering · Managed, VPC, AWS, on-premises, sovereign, and air-gapped patterns
What it is
QGI Private AI is a customer-controlled AI platform for regulated enterprises and governments. It brings QGI models, governed agents, enterprise memory, and ready QGI Blueprints into managed, VPC, AWS, on-premises, sovereign, or air-gapped environments.
Designed for large enterprises, regulated institutions, public-sector organizations, and sovereign programs.
Capabilities
Built around the work—not the demo.
02
Models QGI model family
Deploy QGI One, Symbolic, Fusion, and Coder according to workload, risk, and performance needs.
03
Agents Governed enterprise agents
Run tool-using agents with policy gates, permissions, human review, and complete operating traces.
04
Memory Enterprise memory
Preserve knowledge, provenance, permissions, and temporal state across workflows and sessions.
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Applications Ready QGI Blueprints
Start from practical applications such as QGI Documents instead of rebuilding the entire product layer.
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Choice Frontier model flexibility
Use QGI models, approved third-party frontier models, or a governed combination through QGI Fusion.
How it works
One governed path.
- 01
Define the sovereign boundary
Map data classes, infrastructure, identity, model access, residency, and operational requirements.
- 02
Assemble the intelligence layer
Select QGI models, approved frontier models, enterprise memory, tools, agents, and governance controls.
- 03
Launch a controlled application
Deploy a QGI Blueprint or a custom workflow, validate it, and expand without leaving the boundary.
Continue exploring
QGI / Enterprise + government
Design a private deployment →