Deployment follows the mission boundary
Regulated intelligence teams cannot evaluate AI without knowing where data, models, tools and evidence live. Arqent AIF keeps deployment architecture in the main story.
Product view
Deployment patterns
The public site states deployment intent clearly and routes environment-specific capability parity into assurance review.
Resource
Deployment Models
Use
Architecture context and buyer evaluation
Trust boundary
Verified claims, careful examples and clear assumptions
DEPLOYMENT TOPOLOGY
Same operating model, different sovereignty boundaries
FAST START
SaaS evaluation
Useful for qualified demos, proof-of-value work and lower-sensitivity evaluation paths.
CONTROLLED TENANCY
Government cloud
Designed for organizations that need stronger boundary, procurement and hosting assumptions.
LOCAL CONTROL
On-prem and airgap
Patterns for constrained networks, sensitive data and environments where cloud access is not acceptable.
FIELD WORK
Edge intelligence
Local analysis patterns for teams operating with limited connectivity or mission-specific hardware.
Validate deployment fit before the demo
The useful conversation starts with data boundary, hosting requirement, model policy and synchronization constraints.