DEPLOYMENT & SIZING

The right system begins with the work.

Private AI infrastructure should be selected around what people need E-QUERY to do, how often they need it, and how quickly the experience must respond.

Employee count provides a practical starting point, but it does not determine capacity by itself. EMLI validates the starting point against the organization’s workflows, expected usage, and performance requirements.

Office-ready infrastructure

E-QUERY can be deployed on a professionally configured tower workstation without requiring a traditional data-center rack. The final design considers performance, reliability, acoustics, cooling, networking, physical placement, and available electrical capacity.

Four factors shape the recommendation

WorkforceWho needs access
WorkflowWhat E-QUERY will do
ConcurrencyHow many are active together
ExperienceHow quickly results should arrive

Starting points for growing organizations

EMLI uses company size to begin the conversation, then validates the recommendation against real workflows and expected demand.

Up to25

Focused deployment for a small professional team.

Up to50

Shared private intelligence for a growing office.

Up to100

Broader adoption across teams and knowledge domains.

Up to200

Expandable capacity for sustained organizational use.

These ranges are planning guides, not fixed hardware promises. The initial system can expand as adoption, workloads, or performance requirements grow.

A starting point—not a fixed hardware promise.

The deployment can expand as adoption, workloads, or performance requirements grow.

A COMPLETE DEPLOYMENT

One solution. One accountable relationship.

EMLI manages the complete E-QUERY deployment—from workload assessment and infrastructure selection through installation, configuration, validation, and ongoing support.

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