RealAware offers an AI‑first command center that consolidates SCADA, ERP/EAM, and spreadsheet data into a single operational view for upstream oil and gas production teams. Its enterprise‑grade large language model layer enables natural‑language queries, automated exception triage, and workflow automation, reducing manual coordination time and accelerating decision‑making.
Funding
Funding not disclosed
Founders
Product
Problem
Upstream production teams manage execution, production control, and exception handling in separate systems such as SCADA, ERP/EAM, and spreadsheets. This fragmentation forces manual data stitching, causing supervisors and engineers to spend 20‑40% of their time on coordination and leading to delayed exception resolution and reporting rework.
Solution
RealAware provides an AI‑first command center that unifies execution, production control, and exception triage on a single operational surface. A shared AI layer, powered by enterprise‑grade large language models, ingests data from SCADA, ERP/EAM, and other sources to create a real‑time “system of action.” Users can ask the AI to summarize conditions, approve decisions, and trigger automated workflows, reducing manual coordination, accelerating exception resolution, and eliminating reporting churn. The platform’s asset model backbone and schematic AI hierarchy ensure consistent context across all workflows, turning passive records into actionable insights for faster, governed decision‑making.
Target Audience
Primary customers are upstream oil and gas operators, production engineers, and supervisory teams that need to streamline coordination across multiple legacy systems and improve real‑time decision making.
Features
- Unified workspace that consolidates SCADA, ERP/EAM, and spreadsheet data into a single operational view
- Enterprise LLM‑driven AI layer for natural‑language queries, summarization, and automated decision support
- Asset model backbone with schematic AI hierarchy extraction for consistent cross‑workflow context
- Automated exception triage that surfaces anomalies and enables rapid, evidence‑based action
- Integrated execution and production control tools that reduce manual handoffs and reporting effort
- Configurable workflows that translate AI recommendations into approved operational actions