Getinterface offers an AI‑native operations platform for the energy sector that ingests all operational documents, safety checklists, P&ID drawings, maintenance logs, and global regulatory requirements into a unified knowledge graph. The system automatically cross‑references these sources against corporate standards, technical manuals, and real‑time field data, instantly flagging compliance gaps and providing remediation suggestions that can be approved and propagated across linked documents. This reduces manual audit effort, improves safety governance, and helps oil‑and‑gas operators maintain consistent regulatory and corporate compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Energy companies must manage a vast array of operational documents, regulatory mandates, and corporate standards, often stored in disparate systems. Manually cross‑checking these sources for compliance gaps is time‑consuming, error‑prone, and can lead to regulatory violations or safety incidents.
Solution
Getinterface delivers an AI‑native operations platform that ingests all operational knowledge—including SOPs, safety checklists, P&ID drawings, maintenance logs, and global regulatory requirements—into a unified knowledge graph. The system automatically cross‑references each document against applicable regulations, corporate policies, and real‑time field data, instantly highlighting conflicts, missing procedures, or outdated specifications. AI‑generated remediation suggestions are presented for human review, and approved changes propagate across all linked documents to maintain consistent compliance. The platform provides a searchable interface that lets users locate any gap, trace its origin, and monitor remediation status in real time, reducing manual audit effort and improving safety governance.
Target Audience
Primary customers are oil‑and‑gas operators, upstream and downstream facilities, and EHS compliance teams that need to ensure consistent adherence to regulatory and corporate safety standards.
Features
- Automated ingestion of diverse document types (SOPs, safety checklists, P&ID drawings, maintenance logs, regulatory texts) into a structured ontology
- Real‑time AI cross‑referencing that flags gaps between field operations, corporate standards, and regulatory requirements
- Contextual alerts that identify specific mismatches, such as missing evacuation procedures or outdated torque specifications
- Suggestion engine that proposes corrective actions, which can be approved and automatically propagated to all related documents
- Unified search and visualization dashboard for tracing compliance gaps and tracking remediation progress
- Continuous learning model that updates the ontology as new regulations or corporate policies are added