Seamless Onboarding
- Cloud agnostic. Your cloud or ours based on customer preference
- Data Engineers deploy standardized data migration process from ground to cloud in record time.*
- Flexible, infinitely scalable architecture, with expert support for your teams
- Swift, open architecture integration with all major OEMs: Secure, remote connections any critical source—from SCADA data to power forecasts—regardless of hardware manufacturer or 3rd party service
*Recently we onboarded 40 Plants (850MW) in 45 days.
Intuitive, Customizable Dashboards & Reporting
With proprietary advanced modelling techniques, we enable RealTime monitoring and O&M workflows in interactive dashboards with built-in extensive visualization and reporting capabilities custom & standard generation, operational reports identify and drive additional revenue opportunities
Ingest Data from Multiple Sources
Data ingested from plants is correlated with relevant streams (production, weather, device IoT, expected performance ratios, and ongoing operations) for exhaustive operational efficiency
Accurate Performance Forecasting
Our Customer Success Team helps you plan future production to align with predicted demand and optimize plant capacity with both planned and predictive maintenance strategies
Scalable, Flexible Data Management Strategy
- Data Aggregation — Completely transparent and unbiased view of all your assets with a single, standard schema structured for each plant across the portfolio
- Data Accessibility — Plant operating data is cleaned and harmonized and structured into an AI-first Data Platform
- Zero Sync Issues — All data is fetched, processed, and can be utilized via the Data Lake in RealTime (OPC/CDC data clients enable this live sync)
- State-of-Art Cloud Storage & Data Archiving Solutions — To provide unlimited scale, 99.99% data availability, 99.5% or more system uptime performance
- Highest standards of data security and secure encryption in-flight and at-rest
Open Architecture Integration (Public API)
Single standard schema for entire portfolio, so your team has open access to clean, raw data
Proprietary Digital Twin data is also accessible for your team to enrich your analytical scope, while we continue to build our advanced analytics
Reliable, Trusted, Optimized Data Platform
Data from all plants, SMART devices (Block, MFM, Inverter etc.) is cleansed to enable intelligent filling of missing values, de-duplication and configurable time-synchronization, improving the data quality and reliability for RealTime reporting, and accurate forecasting and plant performance optimization
Extensible
- No code development required. Future-Proof with Extensibility to build new reports to track custom KPIs, and
- Combine internal information around operations/operational revenue data to further improve future reporting
Plug & Play
Connecting most SCADA compliant energy production sensors, standard IoT sensors for device information and weather feeds, our software goes to work. With easy integration supporting all manufacturer types – the Quadrical Ai Platform will ingest all relevant cross-plant data into a single standardized schema. You will benefit with out-of-the-box reports and visualizations
Role-based & Network-based Access Controls
Plus, other specific controls such as encryption in SQL and other databases, so that data in transit stays protected against ‘out of band’ attacks (e.g., traffic capture)
AI. Out-of-the-Box
With Digital Twin AI based Advanced Predictive Analytics, we are set up to truly benefit you. You can say we’re simply out-of the-box. First, Prediction AI will give you forecasts not only for regulatory compliance but also for budgeting, logistics and planning.
Then, Anomaly Detection AI will make Preventative Maintenance become planned with a predicted and prioritized task lists of failures and degradations, based on their exact revenue impact.
You will know exactly what to do to improve your portfolio’s profitability, and what is worth doing first.
Quadrical’s Audit identifies losses with granular bucketization, and catches faults, failures, and degradations with much higher accuracy than traditional approaches.