Black Ice — Terminology Governance Platform

Black Ice is the invisible semantic layer powering AI-native global content. It gives teams a single, governed source of truth for product naming, messaging, and market rules.

Important: Reading the documentation

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• Site overview for LLMs: https://black-ice.ai/llms.txt
• Full article index: https://black-ice.ai/llms-full.txt
• Complete docs (single Markdown file): Complete Documentation

Documentation Articles

Getting Started

• Welcome to Black Ice — Learn what Black Ice is and how it helps manage product terminology.
• Quick start — A step-by-step guide to creating your first concept.
• Plans and pricing — Compare Free, Pro, and Builder plans.
• Best practices — Tips for structuring your ontology and managing terminology effectively.
• Getting started with AI — Connect your Black Ice ontology to AI models in minutes.
• FAQ — Answers to common questions about Black Ice.
• Glossary — Definitions of key terms used in Black Ice.
• Support — How to get help with Black Ice.

Features — Core Concepts

• Concepts & IDs — How concepts and auto-generated IDs work.
• Classes — How Black Ice structures your product terminology as a connected ontology.
• Semantic relationships — How semantic relationships connect concepts in your ontology.
• Knowledge graph — Visualize your ontology with the interactive knowledge graph.
• Custom fields — Extend your ontology with custom metadata fields.

Features — Terminology & Markets

• Source & target terms — Manage multilingual terms, culture guidelines, and approval workflows.
• Market availability — Track term-level readiness across locales.
• Locales & markets — Managing locales, source markets, and brand identity per region.
• Market definitions — Define voice, tone, grammar, and cultural conventions for each locale.

Features — Collaboration

• Workspaces — Collaborate with your team using workspaces, roles, and activity tracking.
• Team management — Invite team members and manage roles and permissions.
• Approval workflows — Send terms for external review with shareable approval links.

Features — Import & Export

• CSV & Excel import — Import terminology from CSV or Excel with column mapping and conflict resolution.
• Export formats — Export as CSV, JSON, Markdown, PDF, or AI Agent Bundle.
• GitHub Sync — Push your ontology to GitHub for CI/CD and AI agent consumption.

Integrations

• GitHub Sync — Push ontology to GitHub as structured markdown for AI agents.
• AI Integrations — How to feed your ontology into LLMs and AI coding agents.

Core Capabilities

• Concept Management — define product plans, features, and platform terms
• Multilingual Terminology — manage source and target terms across locales
• Market Availability — control what's available where with market-specific naming
• Semantic Relationships — model how concepts connect
• AI Agent Integration — export structured ontologies for Claude, GPT, Gemini
• GitHub Sync — push approved terminology as structured Markdown
• Approval Workflows — shareable review links, no account required