ProdigyNova
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Platform

Enterprise Knowledge Architecture on Your Infrastructure

Prodigy deploys as a modular knowledge platform across your infrastructure. Connect sources, apply Knowledge Management, and run Enterprise Search and Private AI without replatforming.

Architecture should fit your perimeter, not a vendor cloud

Enterprise knowledge lives across file shares, SaaS tools, email, media systems, and custom applications. Most platforms force a migration or a shared multi-tenant boundary.

Prodigy indexes and governs content in place. A modular services architecture runs in your VPC, on-prem data center, or air-gapped environment with identity, storage, and inference under your control.

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Architecture built for Data Sovereignty

Prodigy is not a SaaS overlay on your content. Processing, indexing, and inference run where you deploy, with customer-managed keys and network isolation options.

Modular services

Scale ingestion, search, and AI independently.

Isolated tenancy

Dedicated compute and storage per deployment.

Operational audit

Health, sync, and access telemetry for IT teams.

Deployment topologies

How Prodigy fits existing infrastructure

VPC deployment

Run the platform in a cloud account you control.

On-premises

Integrate with AD, NAS, and existing security stacks.

Air-gapped

Support classified and isolated environments.

Hybrid connectors

Index SaaS and on-prem sources into one governed index.

Who reviews architecture

Technical evaluation paths

Enterprise architects

Map Prodigy to reference architecture standards.

CISO / security engineering

Validate isolation, encryption, and audit design.

Platform engineering

Plan connector rollout and API integration.

Data engineering

Design ingestion pipelines and metadata mapping.

Cloud operations

Deploy and monitor in VPC or hybrid topologies.

Public sector IT

Meet residency and accreditation constraints.

A platform layer above systems you already run

Prodigy architecture sits above existing storage and applications. Expand connectors and capabilities without restructuring the core or exporting data to public AI services.

Review architecture for your environment

Request a demo to map deployment topology, connectors, and security requirements.

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