The right workspace.
The right deployment.

Start with your organisation’s scope and operating requirements. Discuss the deployment, capacity and commercial terms that fit your team.

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Choose deployment around your requirements.

Compare infrastructure boundaries, then discuss hosting, AI processing and onboarding separately.

NyayaDeskDeployment planning
Shared database
Tenant isolation
Dedicated database
Separate data store
Dedicated stack
Separate application infrastructure
A separate decision

Hosting location and AI processing location are not the same. Confirm both during onboarding.

Fictional example · curated product view

A deployment that fits
your organisation.

These describe the supported architectural models. Capacity, availability, identity setup, AI budget and commercial terms are agreed for the deployment.

Deployment models
ModelData boundaryDiscuss during onboarding
Shared databaseTenant isolation with row-level securityOrganisation structure, access scope and capacity
Dedicated databaseA separate database for the tenantHosting location, operations and backup arrangements
Dedicated stackA deployment dedicated to the tenantInfrastructure readiness and operating responsibilities

Deployment is not a promise of in-country AI processing. Read the processing details · See what each plan includes

Set the scope together.

Discuss matter volume, document sizes, users, departments, deployment tier and the expected AI workload. Confirm the actual plan and configured caps with the onboarding team.

  • Prices appear in the plan catalogue only where one has been published
  • No instant self-serve trial
  • Workspace provisioning follows authorised onboarding

Let’s start with your organisation.

Explore NyayaDesk for your organisation’s records, people and review process.

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How is NyayaDesk priced and deployed?

Commercial terms are agreed during authorised onboarding, and the plan catalogue shows a price only where one has been published. The architecture supports shared-database isolation, dedicated databases and dedicated stacks. There is no instant self-serve trial and no guaranteed production SLA.

Discuss your deployment