IntuigenceAI provides synthetic AI engineers that ingest a plant’s documents, schematics, procedures, and historical data to autonomously locate, interpret, and act on operational information. These AI colleagues continuously learn from feedback, orchestrate and automate workflow steps, and generate or summarize technical content such as SOPs and reports, delivering 24/7 support for engineering and operations teams in large industrial facilities.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial plants, refineries, and energy facilities rely on manual, siloed processes and software that cannot fully understand complex operational data, leading to inefficiencies, safety risks, and limited scalability.
Solution
IntuigenceAI delivers synthetic AI engineers—domain‑specific, continuously learning agents trained on a plant’s documents, procedures, and historical data. These AI colleagues can autonomously locate and interpret information across drawings, manuals, and databases; orchestrate and automate workflow steps; and generate or summarize operational documents such as SOPs and reports. By embedding deep reasoning and planning capabilities, the system acts as an always‑available collaborator that executes tasks, responds to change requests, and surfaces actionable insights without human intervention, while continuously improving from feedback.
Features
- Integrated knowledge base that ingests and indexes engineering documents, schematics, procedures, and personnel data for instant retrieval
- Autonomous workflow orchestration that can schedule, execute, and monitor industrial processes across plants and refineries
- AI‑generated content creation, including SOPs, technical reports, and meeting summaries, tailored to the organization’s style and standards
- Continuous learning loop that captures user feedback and operational outcomes to refine reasoning and decision‑making
- 24/7 availability with scalable cloud‑native deployment, ensuring reliable support without bandwidth limits
- Customizable memory that retains context specific to each facility’s systems, assets, and operational history