Deployment

Deployed and managed. In your environment.

ZenithAI is not a download and not a public SaaS. It is delivered as a managed deployment: our engineers install, configure and support the platform inside infrastructure you control — and stay accountable for it through an annual maintenance relationship.

Sec. 01 Environments

Three ways to run. One platform.

Most chosen

On-premises

Installed on GPU servers in your own data centre or server room. Maximum control, physical custody of every byte, and the natural fit for government and regulated organisations.

Cloud you control

Private cloud

Deployed into GPU instances in cloud tenancy your organisation owns — including Indian data-centre regions — when you want ownership without operating physical hardware.

Restricted environments

Isolated networks

The core platform operates without internet access; outward-reaching modules are disabled or scoped. Fully isolated configurations, including offline authentication, are engineered and validated per engagement.

Sec. 02 The journey

From first briefing to governed rollout.

A disciplined, seven-stage implementation run by the Data Ingenious team with your IT organisation.

01DiscoverUse cases, data sources, user groups, languages, isolation requirements and success measures.

02DesignHardware sizing, tier and model selection, network placement, module enablement and governance policy.

03DeployInstallation and hardening on your infrastructure; models provisioned, health monitoring in place.

04ConnectKnowledge onboarding: documents, archives via OCR, mailboxes and databases where in scope.

05EmpowerDepartment workspaces, training and champions — adoption treated as a deliverable, not an afterthought.

06ScaleAdditional departments, deeper tiers and expanded hardware as usage grows.

07GovernOngoing administration, audit review, model upgrades and support under the maintenance agreement.

Sec. 03 Commercial model

Own the platform. Budget with certainty.

ZenithAI is licensed as an enterprise deployment — a one-time platform licence with an annual maintenance contract — not a per-user subscription, and never per-token metering on your own infrastructure.

₹0Per token — no API meter

₹0Per user per month

Total cost of ownership — what we quantify with you
Component	Nature
GPU servers & storage	One-time acquisition (or your cloud tenancy)
Platform licence	One-time, per deployment
Implementation	One-time, scoped to your estate
Maintenance & support	Annual contract
Power & operations	Your operating cost, estimated during sizing
Per-user AI subscriptions	— none
Per-token API charges	— none on your deployment

We prepare this as a side-by-side projection against your current or forecast public-cloud AI spend during scoping.

Sec. 04 Operations

Run with discipline after go-live.

01Health & residency monitoring — models stay resident on their GPUs and respond without cold-start delays
02Managed upgrades — platform updates and model refreshes applied by our team, on your change windows
03Named support — engineering support from the team that builds the platform, in India, accountable through the AMC

The next step

Scope your deployment.

One conversation gets you a sizing proposal, a cost-of-ownership projection and a demonstration plan.

Request an Enterprise Demonstration Industry Use Cases