SCAP is the only partner in Mexico, a leading AI software provider for accelerating digital transformation.

As a System Integrator Partner, we provide comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches.

It is compatible with the value chain of any industry that has pre-built, configurable, and high-value AI applications for Predictive Maintenance, Fraud Detection, Sensor Health, Inventory Optimization, Energy Management, Anti- Money Laundering, and CRM.


Prioritize and Optimize Asset Maintenance and Planning Predictive Maintenance provides maintenance planners and equipment operators with comprehensive insight into asset risk, enabling them to maintain higher levels of asset availability across their entire portfolio.

  • Proactively assess real-time asset health
  • Apply next-generation asset failure prediction algorithms
  • Visualize risks across asset portfolios
  • Enable asset-level diagnostics and projections
  • Track, benchmark, and rank performance
  • Use comprehensive closed-loop workflow support Energy Management

Reduce Energy Costs and Improve Building Operations Energy Management uses machine learning to help enterprises gain visibility into their energy expenditure and prioritize actions to reduce their operational costs. The application leverages advanced AI and optimization algorithms to model building operations, detect anomalies, predict energy savings opportunities, and help facilities managers take action in near real time.

  • Streaming energy analysis
  • Project analyzer
  • Anomaly detection
  • Peak-demand forecasting
  • End-use disaggregation
  • Whole building optimization
  • Operator engagement
  • Measurement and verification
  • Virtual building audit
  • Power purchase analysis
  • Self-service data science
  • Interoperability Sensor Health

Ensure Optimal Deployment and Operational Health of IoT Sensor Devices Sensor Health ensures the operational effectiveness of IoT devices and network infrastructure during both the deployment and the operational life cycle of IoT devices.

  • Executive dashboard
  • Sensor deployment
  • Sensor device reconciliation
  • Health and sensor exceptions
  • Geospatial intelligence
  • Reporting and ad hoc analyses CRM

Next-Generation CRM Designed for AI/Machine Learning CRM is a real-time predictive customer relationship management (CRM) application that leverages real-time machine learning and AI to generate recommendations that drive operational excellence and profitability across sales, marketing, and customer service.

  • Recommend actions to Sales
  • Improve forecast accuracy
  • Score customers and leads
  • Know the logic behind the AI
  • Understand and modify analytics
  • Capitalize on insights anywhere Inventory Optimization

Reduce Inventory Costs, Free Up Working Capital, and Reduce Stock-Out Risks Inventory Optimization applies advanced AI/machine learning and optimization techniques to help manufacturers reduce inventory levels, while maintaining confidence that they will have stock when, and where, they need it.

It considers several real-world uncertainties including variability in demand, supplier delivery times, quality issues with parts delivered by suppliers, and production-line disruptions. The application dynamically and continuously optimizes reorder parameters and minimizes inventory holding and shipping costs for each part.

  • Real-time recommendations
  • Real-time monitoring
  • Optimization by confidence level
  • Summary view for operators
  • Individual parts performance view
  • “What-if” scenario planning
  • Optimization with real-time data
  • Scalability to millions of parts
  • Benchmark parts Anti-Money Laundering

Transform Financial Crime Detection with Machine Learning Anti-Money Laundering is an AI-enabled, workflow-centric application that uses comprehensive machine learning techniques to reduce false positive alerts while increasing true Suspicious Activity Report (SAR) identification.

Improves investigator productivity. The application provides transparent, easy-to-interpret risk drivers for each money laundering risk score. The application uses sophisticated machine learning techniques.

  • Prioritize investigations
  • Review risk factors
  • Access internal and external data
  • Expand and modify risk analytics
  • Create evidence packages
  • Configure sophisticated UI
  • Identify associated parties
  • Perform ad hoc analyses
  • View granular client detail
  • Augment investigations
  • Create SARs
  • Integrated escalation Fraud Detection

Identify Fraudulent Actors and Safeguard Revenues Fraud Detection pinpoints patterns in event data streams that identify revenue leakage or maintenance and safety issues so investigation teams can act upon a single, continuously updated, and prioritized queue of leads.

  • Executive dashboard
  • Loss detection analytics
  • Investigation management
  • Revenue reporting and monitoring
  • Advanced pipeline management COVID-19 Data Lake

Accelerate Research with Unified, Integrated COVID-19 Data

The COVID-19 Data Lake uniquely integrates multiple data sources in a unified data model, ready for analysis – not just a list of links or a collection of data sets.

Solution architecture

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