Our Core Capabilities

Comprehensive solutions for power sector data challenges

Key Capabilities

1
Grid Communication Protocols
  • IEC 61850 - Substation automation and communication
  • DNP3 - SCADA master/outstation communication
  • Modbus - Legacy device integration
  • IEEE C37.118 - Synchrophasor data streaming (PMU/PDC)
  • TASE.2/ICCP - Inter-control center communication
2
DER & Demand Response
  • IEEE 2030.5 (SEP 2.0) - Smart Energy Profile for DER interoperability
  • OpenADR - Automated demand response signaling
  • SunSpec Modbus - Solar inverter and storage integration
  • OCPP - EV charging station communication
3
Enterprise & Industrial Integration
  • OPC UA - Industrial asset data exchange
  • MQTT - IoT device connectivity
  • REST/GraphQL APIs - Modern web service integration
  • Custom protocol translation and gateway development
4
System Integration Services
  • Multi-vendor equipment integration
  • Legacy system connectivity and modernization
  • Real-time and historical data aggregation
  • Northbound/southbound interface development
  • Data normalization and semantic mapping

Technologies & Standards

IEC 61850DNP3ModbusIEEE C37.118TASE.2/ICCPIEEE 2030.5OpenADRSunSpecOCPPOPC UAMQTTREST/GraphQL APIs

Key Capabilities

1
Time-Series Data Platforms
  • High-frequency telemetry processing (PMU, SCADA, smart meter data)
  • Time-series database design (InfluxDB, TimescaleDB, QuestDB)
  • Data lake and lakehouse architectures
  • Stream processing (Apache Kafka, Flink, Spark)
  • Batch processing for historical analysis
2
Data Quality & Governance
  • Data validation, cleansing, and error detection
  • Schema evolution and metadata management
  • Data lineage and provenance tracking
  • Access control and security frameworks
  • Regulatory compliance (NERC CIP, data privacy)
3
ETL/ELT Development
  • Multi-source data integration pipelines
  • Real-time and batch data workflows
  • Data transformation and enrichment
  • Automated data quality monitoring
  • Incremental processing and change data capture
4
Deployment Architectures
  • Cloud-native platforms (AWS, Azure, Google Cloud)
  • On-premises and air-gapped deployments
  • Hybrid and edge computing architectures
  • Containerized applications (Docker, Kubernetes)
  • Serverless and event-driven architectures

Technologies & Standards

InfluxDBTimescaleDBQuestDBApache KafkaApache FlinkApache SparkDockerKubernetesAWSAzureGoogle Cloud

Key Capabilities

1
Predictive Analytics
  • Load forecasting - Short, medium, and long-term demand prediction
  • Renewable generation forecasting - Solar and wind with weather integration
  • Price forecasting - Energy market price prediction and volatility
  • Equipment failure prediction - Asset health analytics
  • Demand flexibility estimation - Behavioral modeling and DR potential
2
Detection & Classification
  • Anomaly detection - Equipment health, cyber threats, power quality events
  • Event classification - Fault detection, outage identification, alarm correlation
  • Pattern recognition - Load profiling, usage segmentation, theft detection
  • Grid state estimation - Real-time monitoring and situational awareness
3
Optimization & Decision Support
  • Dispatch optimization - Generation, storage, and flexible load scheduling
  • Network optimization - Voltage control, loss minimization, hosting capacity
  • Resource planning - DER siting, grid investment, capacity expansion
  • Market bidding strategies - Energy and ancillary services optimization
  • Scenario analysis - What-if modeling, sensitivity analysis, risk assessment
4
Advanced Analytics
  • Statistical analysis and trend identification
  • Correlation analysis across multiple data sources
  • Causality analysis and root cause identification
  • Time-series decomposition and forecasting
  • Spatial analytics and geospatial intelligence

Technologies & Standards

PythonTensorFlowPyTorchScikit-learnApache SparkMLflowStatistical AnalysisTime-series ForecastingGeospatial Analytics

Key Capabilities

1
Operational Dashboards
  • Real-time grid monitoring - SCADA displays, dispatch, system frequency/voltage
  • DER fleet management - Aggregated visibility across distributed assets
  • Market operations - Real-time and day-ahead prices, congestion, settlement
  • Alarm and event management - Contextualized alerts with drill-down
2
Geospatial Visualization
  • Grid topology displays - Network diagrams with real-time asset status
  • Outage and impact visualization - Customer impacts, restoration priorities
  • Asset mapping - Equipment location, service territory, environmental overlays
  • DER and EV integration - Hosting capacity, interconnection queues
3
Historical Analytics & Reporting
  • Trend analysis - Long-term performance, seasonal patterns, comparisons
  • Compliance reporting - NERC reliability metrics, regulatory submissions
  • Asset performance - Equipment utilization, efficiency, health scoring
  • Customer analytics - Load research, segmentation, program evaluation
4
Executive & Business Intelligence
  • KPI dashboards - Financial, operational, and strategic indicators
  • Market intelligence - Price trends, competitive benchmarking
  • Scenario comparison - Planning alternatives, investment trade-offs
5
Engineering & Planning Tools
  • Engineering analysis interfaces - Power flow, constraint analysis
  • Planning study tools - Load growth scenarios, DER impact studies
  • Commissioning and diagnostic tools - Device configuration, testing
6
Visualization Technologies
  • Interactive web dashboards (Grafana, Apache Superset, custom React)
  • Mobile applications for field operations
  • Embedded HMIs for control systems and devices
  • API-driven visualization for third-party integration

Technologies & Standards

GrafanaApache SupersetReactD3.jsTableauPower BIMobile AppsREST APIs

Key Capabilities

1
  • CIM (Common Information Model) - implementation for grid asset modeling
  • Digital twin development - Equipment, substations, DER fleets, grid segments
  • Ontology design - Domain-specific knowledge representation
  • Grid topology modeling - Network connectivity, power flow relationships
  • Asset lifecycle modeling - Engineering, operations, maintenance integration
  • Simulation frameworks - Hardware-in-the-loop, scenario testing

Technologies & Standards

CIMIEC 61970IEC 61968Digital TwinsOntology DesignSimulation Frameworks

Key Capabilities

1
  • Data anonymization - for customer and operational data
  • Differential privacy - implementation for aggregate analytics
  • Secure multi-party computation - for cross-organizational data sharing
  • Encryption and access control - frameworks
  • Cybersecurity features - meeting NERC CIP and IEC 62351 requirements
  • Audit logging and compliance - reporting

Technologies & Standards

NERC CIPIEC 62351EncryptionAccess ControlDifferential PrivacySecure Multi-party Computation

Ready to Enhance Your Product?

Let's discuss how our data intelligence capabilities can accelerate your product roadmap.