Private AI for Enterprise Knowledge
Apply AI to documents, media, and structured data inside your environment. Prodigy Private AI keeps inference, context, and outputs within the boundary you define.
Teams need AI on sensitive repositories, not public chat tools
Uploading contracts, client files, or internal research to shared AI services introduces data leakage, compliance violations, and loss of control over model behavior.
Prodigy Private AI runs where your knowledge already lives. Models retrieve governed context from Knowledge Management and Enterprise Search, generate answers with citations, and never train on your data for external use.
View Security & Sovereignty
What Prodigy Private AI includes today
In-boundary inference
Models run in your VPC, on-prem, or air-gapped deployment.
Read more →Grounded responses
Answers cite source documents and respect access permissions.
No external training
Your data does not improve shared foundation models.
Model choice
Use approved open or commercial models under your governance policy.
Knowledge Management context
Retrieve from structured organizational knowledge, not isolated file uploads.
Read more →Enterprise Search integration
Combine semantic retrieval with keyword precision.
Read more →Data Governance
Block, redact, or route sensitive prompts before inference.
Read more →API and agents
Embed governed AI into workflows and internal applications.
Read more →AI governance is infrastructure, not policy documents alone
Prodigy enforces who can prompt which models, on which data, with full audit logs. Security teams gain visibility without blocking innovation teams.
Customer-managed keys
Encrypt data at rest and in transit with keys you control.
Prompt controls
Define allowed models, data scopes, and output handling rules.
Inference audit
Log queries, sources used, and users for compliance review.
Private AI workloads teams deploy first
Document Q&A
Answer questions across contracts, policies, and project files.
Research synthesis
Summarize findings across reports with source attribution.
Project context
Surface how work was done before, with context intact.
Workflow assistants
Embed AI steps inside onboarding, support, and review flows.
Who leads Private AI evaluation
VP Innovation
Ship AI capabilities without board-level data risk.
CISO
Validate isolation, logging, and model governance.
Data science leads
Run models on curated knowledge, not ad hoc file dumps.
General counsel
Control client matter data in AI-assisted review.
Public sector IT
Deploy in sovereign or air-gapped environments.
Practice leaders
Give teams AI speed without losing firm knowledge.
AI on knowledge you already own
Prodigy Private AI connects to the Knowledge Management and Enterprise Search your organization is building, not a separate chat window. Inference stays inside your boundary.
See Private AI on your content types
Request a demo to review inference, retrieval, and Data Governance on representative enterprise content.
Request a Demo