Enterprise AI infrastructure — now in private preview

Private AI infrastructure for enterprise knowledge.

D3 Core lets organizations deploy secure, permission-aware AI over internal documents — in their own cloud or on-premise — with full control over data, access, and auditability.

d3-core › secure-retrieval › permission-aware
Query
Show Q3 contract renewals over $1M
Permission
Authorized: legal-team, finance-leads
Sources
Confluence · Drive · SAP
Response

Found 12 contracts matching criteria. All results filtered against caller permissions. Sources cited inline. Audit log #a91f3 — traceable.

06 — Live demo

See D3 Core retrieve answers from internal systems.

A simulated environment showing how D3 Core queries connected systems with permission-aware retrieval. Pick a question to watch it run end to end.

Secure chat — simulated environment
Suggested queries

Select a question to see how D3 Core retrieves answers from connected systems with permissions enforced.

Connected systems
  • ConfluenceOnline
  • Google DriveOnline
  • NotionOnline
  • GitHubOnline
  • ZendeskOnline
  • SalesforceOnline
  • SlackOnline
Retrieval pipeline
  1. L1 — Source connectors
  2. L2 — Permission-aware ingestion
  3. L3 — Vector index (in-VPC)
  4. L4 — Retrieval + reranking
  5. L5 — LLM gateway
  6. L6 — Audit log
Environment
Deployment
Private VPC (demo)
Region
us-east-1
Model gateway
BYO-Model
Deploy in your own VPC or on-premise
Full permission-aware data retrieval
SOC2-ready architecture by design
No data leakage. No external exposure.
01 — The problem

Enterprise knowledge is fragmented and insecure.

Companies store critical knowledge across Notion, Google Drive, Confluence, Slack, and internal databases. Employees waste time searching, and existing AI tools risk exposing sensitive data outside company control.

47%
of employee time spent searching for information
8+
knowledge systems in the average enterprise
0
tolerance for data leaving controlled boundaries
100%
of queries auditable in D3 Core
02 — The solution

D3 Core unifies enterprise knowledge into a secure AI layer.

Connect internal systems, index knowledge securely, enforce existing access controls, and serve AI answers — entirely within your environment.

Step 01
Data sources
Notion, Drive, Confluence, Slack, SQL
Step 02
Secure index
Encrypted vector + metadata store
Step 03
Permission layer
Identity-scoped retrieval
Step 04
AI answers
Cited, audited, in your environment
03 — Product

Infrastructure designed for serious enterprises.

Permission-Aware Retrieval

AI only accesses data users are authorized to see. Identity is enforced at retrieval time, not stitched in after.

Private Deployment Options

Run in your VPC, your cloud account, or fully on-premise. No data ever leaves your boundary.

Audit-Ready Logging

Every query, source, and response is traceable. Built for compliance, security, and legal review.

Enterprise Data Connectors

Google Drive, Notion, Confluence, Slack, SharePoint, and SQL. Extensible to internal systems.

OpenAI-Compatible API

Drop-in API surface so existing applications and agent frameworks work without modification.

Bring Your Own Model

Use OpenAI, Anthropic, or open-weight models hosted privately. Routing is policy-controlled.

04 — Architecture

Designed for enterprise-grade control and transparency.

L1
Data sources
Internal systems and SaaS
L2
Ingestion layer
Sync, parse, normalize
L3
Vector index
Encrypted, sharded, scoped
L4
Retrieval engine
Permission-aware ranking
L5
LLM gateway
Policy-controlled routing
L6
Secure chat interface
Cited answers, full audit
All layers run inside your environment. No telemetry leaves the boundary.
05 — Use cases

Built for teams that operate under scrutiny.

Legal

Team

Search contracts, precedents, and clauses across years of repository data.

Engineering

Team

Query internal documentation, RFCs, and codebases without leaving your VPC.

Support

Team

Access full customer history and resolutions with permission-scoped retrieval.

Security & Compliance

Team

Maintain visibility, audit trails, and policy enforcement across AI usage.

06 — Deployment

Deploy anywhere your data lives.

Security-first deployment flexibility, from sovereign on-premise installs to managed single-tenant cloud.

On-Premise

Maximum control

Fully self-hosted inside your data center. Air-gapped deployments supported.

Private VPC

Most common

Deploy into your AWS, GCP, or Azure account. Your network, your encryption keys.

Managed D3 Core

Fastest setup

Fully managed by D3 in a dedicated single-tenant environment.

Bring AI safely inside your organization.

For enterprises and regulated teams only.