Inlock
Product-aligned insightsGoverned & workspace-firstModel-agnostic

Inlock Blog

Notes from building a governed, workspace-first AI layer for knowledge-heavy teams—covering data connectors, RAG quality, deployment choices, and safe rollout playbooks.

Governed by default

Workspace isolation, RBAC, and cited answers so teams trust every response.

Model & vendor agnostic

Swap connectors, embeddings, and models without rewrites or lock-in.

Pilot-ready UX

Clarity-first UI for knowledge-heavy teams under compliance and data locality needs.

Latest articles

Built for governed, cited answers

Every post links back to PRODUCT.md priorities: security-first deployments, modular architecture, and maintainable pilots.

See the AI Blueprint→
Deployment flexibilityData localityGovernance & risk

Local vs Cloud AI for Regulated Industries

·6 min read

A practical overview of when to choose local AI over cloud offerings, especially under GDPR and strict compliance.

Read article→Deployment flexibility
Deployment flexibilitySecurity baselineModel agnostic

On-Premise LLM Deployment: A Complete Guide

·12 min read

A step-by-step guide to deploying large language models entirely within your infrastructure for maximum security and compliance.

Read article→Deployment flexibility
Knowledge & data layerRAG qualityProvenance

RAG Implementation Best Practices for Enterprise

·15 min read

Learn how to build production-ready Retrieval-Augmented Generation systems that are secure, accurate, and maintainable.

Read article→Knowledge & data layer
Security baselineGovernance & RBACWorkspace isolation

AI Security and Compliance Checklist for Regulated Industries

·10 min read

A comprehensive checklist to ensure your AI deployments meet security and compliance requirements.

Read article→Security baseline
Cost transparencyDeployment flexibilityPilot ROI

Cost Comparison: Local vs Cloud AI for Enterprise

·14 min read

A detailed financial analysis to help you make informed decisions about AI infrastructure investments.

Read article→Cost transparency
Model orchestrationTemplatesHuman-in-the-loop

Building Private AI Assistants: Architecture and Best Practices

·18 min read

Learn how to design and deploy secure, private AI assistants that keep your data within your infrastructure.

Read article→Model orchestration