← Directory

CortexMine

Paid
★ 12 • Updated Jul 14, 2026, 03:14 AM

CortexMine is a private AI platform designed for documentation operations in regulated and high-trust industries such as manufacturing.

Use Cases ▼
01

Retrieving service knowledge from scattered manuals and repair histories

02

Generating and updating work instructions and SOPs

03

Providing source-grounded answers for technician queries

04

Audit-ready logging of AI-assisted decisions

05

Enabling human-in-the-loop approval for high-stakes operations

06

Integrating with existing document repositories without data migration

What Problem It Solves ▼

CortexMine addresses the challenge of scattered operational knowledge, outdated documentation, and regulatory barriers that prevent regulated industries from using public AI clouds. It consolidates manuals, repair histories, and expert notes into a controlled environment where answers are grounded in source documents and decisions are auditable.

Key Features ▼
✓

Full data sovereignty with on-prem or dedicated private cloud deployment

✓

Source-grounded answers with citations for auditability

✓

Role-based access control enforced at data layer

✓

Human-in-the-loop for high-stakes decisions

✓

No internal AI team required; fully operated service

Overview

CortexMine is a private AI platform designed for documentation operations in regulated and high-trust industries such as manufacturing. It deploys on-premises on dedicated hardware or in a dedicated single-tenant private cloud, ensuring full data sovereignty and isolation. The platform connects to existing document repositories without moving source data, incrementally syncing changes while keeping all information within the organization's perimeter. It provides source-grounded answers with citations, an audit-ready log of all interactions, and role-based access control enforced at the data layer. A human-in-the-loop workflow ensures that high-stakes decisions remain under human approval. CortexMine is operated as a managed service, removing the need for an internal AI team, and is currently in co-development with a planned go-live in Q3 2026.

Pros & Cons

Pros

+

Full data sovereignty with on-prem or dedicated private cloud deployment

+

Source-grounded answers with citations for auditability

+

Role-based access control enforced at data layer

+

Human-in-the-loop for high-stakes decisions

+

No internal AI team required; fully operated service

Cons

−

Pricing not publicly disclosed; requires scoping call

−

Currently in co-development with go-live planned for Q3 2026

−

Limited to documentation operations, not a general-purpose AI

−

Requires dedicated hardware for on-prem deployment

−

No self-service trial; application process for co-development

Similar Tools

Glean Coveo Squirro IBM Watson Discovery Elasticsearch Haystack

More in AI/ML