Optvance provides a non‑disruptive SaaS overlay, Sentinel AI, that integrates with existing DCS, SCADA and APC systems to deliver autonomous, real‑time optimization across the oil and gas value chain. By fusing sensor data with machine‑learning models and safety‑guarded closed‑loop control, the platform continuously forecasts, detects anomalies, and adjusts setpoints to boost production, cut OPEX, and support ESG compliance without any hardware retrofit or capital expenditure.
Funding
Funding not disclosed
Founders
Product
Problem
Oil and gas operators rely on legacy DCS, SCADA, and APC systems that react only after issues arise, leading to 2–5% production loss, 10–30% OPEX leakage, and missed opportunities for carbon reduction. Upgrading or replacing this brownfield infrastructure is prohibitively expensive, leaving most assets without AI-driven optimization.
Solution
Optvance delivers a non‑disruptive SaaS overlay called Sentinel AI that integrates with existing plant automation layers to provide autonomous, real‑time optimization across the entire oil and gas value chain. The platform ingests data from sensors, SCADA, and control systems, applies machine‑learning models with safety guardrails, and issues closed‑loop control recommendations without requiring any hardware changes. By continuously forecasting, detecting anomalies, and adjusting setpoints, it transforms reactive operations into proactive, self‑optimizing assets, delivering measurable production uplift and OPEX savings within a year. The solution is offered as a pure software subscription, enabling rapid deployment and zero capital expenditure for operators.
Target Audience
Primary customers are oil and gas producers, midstream operators, and processing plant managers seeking to improve asset recovery, reduce operating costs, and meet ESG regulations without major capital projects.
Features
- SaaS overlay that sits above DCS/SCADA/APC, requiring no hardware retrofit or capex
- Unified AI control stack with integrated advanced sensing and real‑time data fusion
- Autonomous optimization modules for upstream (ReservoirSentinel), lift (LiftSentinel), midstream flow (FlowSentinel), gas treatment (ChemSentinel), and plant‑wide operations (PlantSentinel)
- Predictive analytics and closed‑loop control that anticipate water/gas breakthrough, injection rate oscillations, and flow assurance issues
- Continuous improvement via open‑loop or closed‑loop AI supervision, delivering 10–20% pipeline stability gains and 5–7x ROI within 12 months
- Auditable, ESG‑focused controls for emissions monitoring, prediction, and regulatory compliance