# ThinkIQ

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/thinkiq
- **Dataset:** https://optimly.ai/brand/thinkiq.json
- **Markdown:** https://optimly.ai/brand/thinkiq/llms.txt
- **Official website:** https://thinkiq.com
- **Slug:** thinkiq
- **Categories:** ai-machine-learning

## Overview

- **Tagline:** ThinkIQ's strategic moat is its ontological backbone (Knowledge Graph, Semantic Model, and Material Ledger) that sits between unified data and AI services. This provides the semantic context and provenance-first data fabric necessary for agentic AI to operate safely, autonomously, and with traceable actions in manufacturing environments, preventing hallucination risks and enabling explainable decisions.
Source: Brand's website (https://thinkiq.com) · 2026-10-04

- **Description:** ThinkIQ provides a Semantic Manufacturing OS that transforms raw IT/OT and supply chain data into an ontological, provenance-first knowledge graph, enabling agentic AI to reason correctly, trace decisions, and act confidently across manufacturing operations without brittle, hard-coded workflows. It offers the Material Ledger as its core innovation for trustworthy AI in manufacturing.
Source: Brand's website (https://thinkiq.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Semantic Manufacturing OS
  - Material Ledger (manufacturing knowledge graph)
  - Provenance-First Data Fabric
  - AI-native Manufacturing OS platform
Source: Brand's website (https://thinkiq.com) · 2026-10-04

- **Pricing:** Not explicitly mentioned
Source: Brand's website (https://thinkiq.com) · 2026-10-04

## Audience

- **Target industry:** Manufacturing companies seeking to implement trustworthy agentic AI for operational improvements, including food safety, yield optimization, blind spot revelation, supplier variability, and decision governance.
Source: Brand's website (https://thinkiq.com) · 2026-10-04

Page last updated 2026-10-17.