Traditional Energy + Nominal
Optimizing energy production by unifying operational data
Nominal turns operational data into reliable, real-time decisions.
Production data is scattered across legacy systems and vendor tools, making it difficult to identify issues, compare performance, or track asset degradation.
Nominal provides a single platform for unifying multimodal data into one coherent, searchable record. Engineers identify issues faster, understand trends across fleets, and make decisions that improve uptime and reduce costs.
Where tests actually get stuck
DISCONNECTED SYSTEMS
Operational data is scattered across Excel spreadsheets and legacy databases with no unified view.
REACTIVE MAINTENANCE
Issues are discovered only after failures occur, resulting in lost production and costly downtime.
SLOW INCIDENT RESPONSE
Root cause investigations take days or weeks without immediate access to complete operational history.
TRIBAL KNOWLEDGE GAPS
Operational insights and best practices only exist in individual experience, making historical knowledge transfer difficult.
Nominal connects siloed data to reveal the full history of asset performance.
Nominal consolidates sensor data, production metrics, and distributed asset performance across years of operations, letting teams compare performance across assets and detect deviations immediately. With all data in one place, engineers diagnose problems sooner, validate interventions, and optimize systems from wellhead to facility.
Centralize operational data
Capture data from wells, pumps, turbines, sensors, production logs, and facility equipment in one unified catalog.
Query data across all sites and time periods to quickly find the right information, context, and insights you need without hunting through multiple systems.
Monitor in real-time
Track operational metrics with monitoring that goes beyond simple thresholds: combine multiple sensor readings, layer in weather data, or flag issues based on calculated metrics across data sources.
Monitor performance across all wells, pumps, and facilities simultaneously to spot trends, compare asset efficiency, and catch degradation patterns in real-time.
Analyze without switching tools
Build multi-tab workbooks with synchronized plots and KPI visualizations. No need to export to spreadsheets or external analytics tools.
Calculate efficiency metrics and production KPIs with out-of-the-box formulas and no-code transformations, eliminating the need for custom scripts or domain-specific tools.
Automatically detect inefficiencies
Automatically detect when assets drift outside normal operating ranges, efficiency drops, or unusual behavior patterns emerge.
Push alerts to your core communications platform when critical issues are detected, keeping operations teams informed of their existing workflows.
Compare across assets and time
When one well shows poor performance, find similar assets with matching parameters to identify patterns and root causes faster.
Track performance metrics over time to spot declining efficiency, compare against historical baselines, and identify maintenance triggers.
Investigate incidents and root causes
Access complete operational history during incident investigations, with all relevant sensor data and production metrics time-aligned.
Document root cause analysis, share findings and data views with colleagues, and track corrective actions in one place.
Stop hunting for data. Start tuning operations.
Energy production depends on making the right decisions fast. With Nominal, engineers have unified visibility to increase uptime, optimize performance, and work more efficiently.
Request DemoINCREASED UPTIME
We allow engineers to monitor asset health in real-time and catch degradation patterns before they cause costly downtime or production losses.
OPTIMIZED PERFORMANCE
We allow engineers to identify inefficiencies across sites, compare asset performance, and optimize operational parameters for maximum production efficiency.
ENGINEER EFFICIENCY
We allow engineers to eliminate hours of manual data collection and analysis, freeing them to focus on optimization instead of spreadsheet wrangling.
