# Lorganglobal > Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04. - **Business Profile:** https://optimly.ai/brand/lorganglobal - **Dataset:** https://optimly.ai/brand/lorganglobal.json - **Markdown:** https://optimly.ai/brand/lorganglobal/llms.txt - **Official website:** https://lorganglobal.com - **Slug:** lorganglobal - **Categories:** ai-machine-learning, data-analytics-business-intelligence ## Overview - **Tagline:** An industry-agnostic, use case-agnostic, low-code, configurable platform that provides a unified, serverless, configuration-driven approach to Big Data, AI, ML, IoT, and Generative AI, significantly reducing build costs, time-to-market, and resource requirements compared to traditional implementations. Source: Brand's website (https://lorganglobal.com) · 2026-10-04 - **Description:** Lorgan's Enigma is an industry-agnostic, use case agnostic, low-code, configurable, behavioral science platform that unifies data ingestion (including IoT), analytics generation, machine learning algorithm building, Generative AI, exploration, and visualization, aimed at reducing the cost and complexity of AI implementation for organizations. Source: Brand's website (https://lorganglobal.com) · 2026-10-04 ## Offerings - **Core capabilities:** - Lorgan's Enigma Behavioral Lake - a unified - serverless - configuration-driven platform for data ingestion (including IoT) - analytics - machine learning - Generative AI - exploration - and visualization. Source: Brand's website (https://lorganglobal.com) · 2026-10-04 - **Pricing:** Not explicitly mentioned. Source: Brand's website (https://lorganglobal.com) · 2026-10-04 ## Audience - **Target industry:** Organizations across various industries including Energy & Utilities, Telecommunications, Retail, Healthcare, Financial Services & Insurance, Emergency services, Government & Transport, and Hospitality, seeking to implement AI, IoT, and data analytics solutions. Source: Brand's website (https://lorganglobal.com) · 2026-10-04 Page last updated 2026-10-17.