AI for Instrumentation, PLCs, and Sensors
Our instrumentation AI Agent, Cypher, can tie in directly to sensor and PLC data, combining readings with other related data sets, like contracts and real-time market prices. Using our propritary models, we distill down millions of data points into a 360 view of enterprise operations, generating actionable KPI dashboards for leadership. Additionally our modeling will help you create the best predictive maintenance plans and assist in critical decision making.
Your Industry, with Cypher
- Cypher is like having thousands of analysts at your command
- Cypher integrates flow data, contracts, market pricing, maintenance schedules, and safety regulations into one optimized control layer
- Leadership team can get daily reports for better budgeting, planning, and revenue projections
- Cypher monitors millions of data points and runs thousands of potential scenarios to suggest best courses of actions for planning and maintenance
Business Outcomes, with Cypher
- Increased profit margins through flow optimizations
- Reduced downtime through more robust maintenance planning and implementation. Cypher runs through thousands of scenarios to ensure best solutions.
- Real-time profit maximization across contracts and markets
- Peace of mind knowing that the smallest anomalies in data will be monitored, along with suggestions on how to keep operations running at their best potential
What Cypher Does
- Discovers and maps every sensor and PLC across the network
- Continously recalculates all operational metrics
- Predictive Intelligence for maintenance planning
- Orchestrates flows, contracts, and market data simultaneously to suggest optimized courses of action
- Documents every action in plain language – full audit trail
- Positive ESG Impacts
- Custom reporting & real-time analysis (front & back office)
Features overview
Real-time data and SCADA integration
Cypher connects directly to sensors, PLCs, and SCADA across 25+ control systems, creating a unified, vendor-neutral view of the field. It discovers and maps every sensor, PLC, and pipeline node into a living graph of the operation (2,000–10,000+ nodes) and ingests 150+ real-time data points per device every 67 ms to recalculate key operational metrics continuously.
Graph-native decision engine
Built on graph neural networks tailored for networked assets like wells, gathering lines, compressors, and trunk lines, Cypher understands how changes at one point affect the entire system. Using neuro-symbolic data canonization, it reconciles messy tags, naming schemes, and contracts into a single, consistent operational model, then evaluates thousands of routing and control scenarios to surface the most effective options for the operations team.
Operational optimization and recommendations
Instead of just displaying telemetry, Cypher continuously analyzes flows, pressures, setpoints, and routing to identify opportunities to increase cash flow, throughput, and reserve value while respecting equipment and regulatory constraints. It delivers ranked recommendations and “what-if” scenarios that controllers and engineers can review and implement through existing control systems and procedures.
Predictive maintenance and reliability
Cypher builds health profiles for critical equipment (pumps, compressors, valves, meters) based on multi-sensor histories, operating envelopes, and event logs. It detects emerging anomalies, failure signatures, and efficiency loss early and generates prioritized maintenance suggestions with estimated risk and production impact, helping planners schedule work to minimize unplanned downtime.
Economics, contracts, and market intelligence
Cypher ingests contracts, tariffs, and commercial constraints alongside physical data so that economics are embedded in every recommendation. By integrating market price feeds and running production and reservoir economics scenarios, it helps teams choose operating strategies that favor long-term value and margin instead of chasing short-term volume alone.
Enterprise visibility and explainability
The platform generates unified KPI dashboards that tie top-level metrics (throughput, losses, emissions, margin per barrel) back to the underlying sensors, assets, and contracts. Every recommendation comes with clear rationale and a full audit trail in plain language, with role-specific views for field operators, controllers, production engineers, finance, and leadership.
ESG, safety, and compliance
Cypher continuously monitors emissions-related signals, flaring, venting, and leak indicators as part of the same decision graph used for operations and economics. It flags conditions that may push the system toward environmental, safety, or regulatory thresholds and recommends actions or priorities to remain within limits and support ESG reporting.
Deployment model and integration
Cypher is delivered as an on-prem or edge-centric solution that can run close to the field for low-latency analytics without changing existing control architectures. It integrates with current SCADA, historians, production accounting, and data lakes, no rip-and-replace, aiming for implementation in months and early, measurable financial uplift during pilots.